feat: add nvidia/poolside/laguna-xs-2.1#352

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feat: add nvidia/poolside/laguna-xs-2.1 #352

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65 changes: 65 additions & 0 deletions models/nvidia/laguna-xs-2.1.yaml
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@@ -0,0 +1,65 @@
# yaml-language-server: $schema=https://modelparams.dev/api/v1/schema.json
provider: nvidia
authType: api_key
apiSurface: openai-chat-completions
model: laguna-xs-2.1
wireId: poolside/laguna-xs-2.1
params:
- path: temperature
type: number
label: Temperature
description: Controls randomness. Lower values make outputs more focused; higher values make them more varied. Not recommended to modify both temperature and top_p in the same call.
default: 0.6
range:
min: 0
max: 1
group: sampling
- path: top_p
type: number
label: Top P
description: Controls nucleus sampling by limiting generation to tokens within the selected cumulative probability. Not recommended to modify both temperature and top_p in the same call.
default: 0.95
range:
max: 1
group: sampling
- path: max_tokens
type: integer
label: Max tokens
description: Maximum number of tokens to generate. Generation stops when this limit is reached.
default: 4096
range:
min: 1
max: 16384
group: generation_length
- path: frequency_penalty
type: number
label: Frequency penalty
description: Penalizes new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.
default: 0
range:
min: -2
max: 2
group: sampling
- path: presence_penalty
type: number
label: Presence penalty
description: Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.
default: 0
range:
min: -2
max: 2
group: sampling
- path: seed
type: integer
label: Seed
description: Best-effort deterministic sampling seed. Changing the seed produces a different response with similar characteristics. Fix the seed to reproduce results.
default: 0
range:
min: 0
max: 18446744073709552000
group: sampling
- path: stop
type: string
label: Stop
description: A string or list of strings where the API will stop generating further tokens. The returned text will not contain the stop sequence.
group: generation_length
87 changes: 87 additions & 0 deletions packages/modelparams-python/src/modelparams/_generated/catalog.json
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Expand Up@@ -22012,6 +22012,93 @@
}
]
},
{
"provider": "nvidia",
"authType": "api_key",
"apiSurface": "openai-chat-completions",
"model": "laguna-xs-2.1",
"wireId": "poolside/laguna-xs-2.1",
"params": [
{
"path": "temperature",
"label": "Temperature",
"description": "Controls randomness. Lower values make outputs more focused; higher values make them more varied. Not recommended to modify both temperature and top_p in the same call.",
"group": "sampling",
"type": "number",
"default": 0.6,
"range": {
"min": 0,
"max": 1
}
},
{
"path": "top_p",
"label": "Top P",
"description": "Controls nucleus sampling by limiting generation to tokens within the selected cumulative probability. Not recommended to modify both temperature and top_p in the same call.",
"group": "sampling",
"type": "number",
"default": 0.95,
"range": {
"max": 1
}
},
{
"path": "max_tokens",
"label": "Max tokens",
"description": "Maximum number of tokens to generate. Generation stops when this limit is reached.",
"group": "generation_length",
"type": "integer",
"default": 4096,
"range": {
"min": 1,
"max": 16384
}
},
{
"path": "frequency_penalty",
"label": "Frequency penalty",
"description": "Penalizes new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.",
"group": "sampling",
"type": "number",
"default": 0,
"range": {
"min": -2,
"max": 2
}
},
{
"path": "presence_penalty",
"label": "Presence penalty",
"description": "Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.",
"group": "sampling",
"type": "number",
"default": 0,
"range": {
"min": -2,
"max": 2
}
},
{
"path": "seed",
"label": "Seed",
"description": "Best-effort deterministic sampling seed. Changing the seed produces a different response with similar characteristics. Fix the seed to reproduce results.",
"group": "sampling",
"type": "integer",
"default": 0,
"range": {
"min": 0,
"max": 18446744073709552000
}
},
{
"path": "stop",
"label": "Stop",
"description": "A string or list of strings where the API will stop generating further tokens. The returned text will not contain the stop sequence.",
"group": "generation_length",
"type": "string"
}
]
},
{
"provider": "nvidia",
"authType": "api_key",
Expand Down
2 changes: 2 additions & 0 deletions packages/modelparams-python/src/modelparams/_generated/model_ids.py
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Expand Up@@ -271,6 +271,7 @@
"moonshot/moonshot-v1-8k",
"nvidia/deepseek-v4-flash-0731",
"nvidia/gliner-pii",
"nvidia/laguna-xs-2.1",
"nvidia/llama-3.1-nemoguard-8b-topic-control",
"nvidia/llama-3.1-nemotron-nano-8b-v1",
"nvidia/llama-3.1-nemotron-safety-guard-8b-v3",
Expand DownExpand Up@@ -674,6 +675,7 @@
"moonshot/moonshot-v1-8k",
"nvidia/deepseek-v4-flash-0731",
"nvidia/gliner-pii",
"nvidia/laguna-xs-2.1",
"nvidia/llama-3.1-nemoguard-8b-topic-control",
"nvidia/llama-3.1-nemotron-nano-8b-v1",
"nvidia/llama-3.1-nemotron-safety-guard-8b-v3",
Expand Down
1 change: 1 addition & 0 deletions packages/modelparams-python/src/modelparams/_generated/registry.py
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Expand Up@@ -296,6 +296,7 @@
"moonshot/moonshot-v1-8k": moonshot.Moonshot_V1_8kParams,
"nvidia/deepseek-v4-flash-0731": nvidia.Deepseek_V4_Flash_0731Params,
"nvidia/gliner-pii": nvidia.Gliner_PiiParams,
"nvidia/laguna-xs-2.1": nvidia.Laguna_Xs_2_1Params,
"nvidia/llama-3.1-nemoguard-8b-topic-control": nvidia.Llama_3_1_Nemoguard_8b_Topic_ControlParams,
"nvidia/llama-3.1-nemotron-nano-8b-v1": nvidia.Llama_3_1_Nemotron_Nano_8b_V1Params,
"nvidia/llama-3.1-nemotron-safety-guard-8b-v3": nvidia.Llama_3_1_Nemotron_Safety_Guard_8b_V3Params,
Expand Down
16 changes: 16 additions & 0 deletions packages/modelparams-python/src/modelparams/types/nvidia.py
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Expand Up@@ -37,6 +37,21 @@
)
setattr(Gliner_PiiParams, "__pydantic_config__", _PARAMS_CONFIG)

Laguna_Xs_2_1Params = TypedDict(
"Laguna_Xs_2_1Params",
{
"temperature": Annotated[float, Field(ge=0, le=1)],
"top_p": Annotated[float, Field(le=1)],
"max_tokens": Annotated[int, Field(ge=1, le=16384)],
"frequency_penalty": Annotated[float, Field(ge=-2, le=2)],
"presence_penalty": Annotated[float, Field(ge=-2, le=2)],
"seed": Annotated[int, Field(ge=0, le=18446744073709552000)],
"stop": str,
},
total=False,
)
setattr(Laguna_Xs_2_1Params, "__pydantic_config__", _PARAMS_CONFIG)

Llama_3_1_Nemoguard_8b_Topic_ControlParams = TypedDict(
"Llama_3_1_Nemoguard_8b_Topic_ControlParams",
{
Expand DownExpand Up@@ -242,6 +257,7 @@
__all__ = [
"Deepseek_V4_Flash_0731Params",
"Gliner_PiiParams",
"Laguna_Xs_2_1Params",
"Llama_3_1_Nemoguard_8b_Topic_ControlParams",
"Llama_3_1_Nemotron_Nano_8b_V1Params",
"Llama_3_1_Nemotron_Safety_Guard_8b_V3Params",
Expand Down
87 changes: 87 additions & 0 deletions packages/modelparams/src/generated/data.ts
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Expand Up@@ -22017,6 +22017,93 @@ const GENERATED_CATALOG = [
}
]
},
{
"provider": "nvidia",
"authType": "api_key",
"apiSurface": "openai-chat-completions",
"model": "laguna-xs-2.1",
"wireId": "poolside/laguna-xs-2.1",
"params": [
{
"path": "temperature",
"label": "Temperature",
"description": "Controls randomness. Lower values make outputs more focused; higher values make them more varied. Not recommended to modify both temperature and top_p in the same call.",
"group": "sampling",
"type": "number",
"default": 0.6,
"range": {
"min": 0,
"max": 1
}
},
{
"path": "top_p",
"label": "Top P",
"description": "Controls nucleus sampling by limiting generation to tokens within the selected cumulative probability. Not recommended to modify both temperature and top_p in the same call.",
"group": "sampling",
"type": "number",
"default": 0.95,
"range": {
"max": 1
}
},
{
"path": "max_tokens",
"label": "Max tokens",
"description": "Maximum number of tokens to generate. Generation stops when this limit is reached.",
"group": "generation_length",
"type": "integer",
"default": 4096,
"range": {
"min": 1,
"max": 16384
}
},
{
"path": "frequency_penalty",
"label": "Frequency penalty",
"description": "Penalizes new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.",
"group": "sampling",
"type": "number",
"default": 0,
"range": {
"min": -2,
"max": 2
}
},
{
"path": "presence_penalty",
"label": "Presence penalty",
"description": "Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.",
"group": "sampling",
"type": "number",
"default": 0,
"range": {
"min": -2,
"max": 2
}
},
{
"path": "seed",
"label": "Seed",
"description": "Best-effort deterministic sampling seed. Changing the seed produces a different response with similar characteristics. Fix the seed to reproduce results.",
"group": "sampling",
"type": "integer",
"default": 0,
"range": {
"min": 0,
"max": 18446744073709552000
}
},
{
"path": "stop",
"label": "Stop",
"description": "A string or list of strings where the API will stop generating further tokens. The returned text will not contain the stop sequence.",
"group": "generation_length",
"type": "string"
}
]
},
{
"provider": "nvidia",
"authType": "api_key",
Expand Down
8 changes: 8 additions & 0 deletions packages/modelparams/src/generated/defaults.ts
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Expand Up@@ -1302,6 +1302,14 @@ export const DEFAULTS = {
overlap: 128,
flat_ner: false,
},
"nvidia/laguna-xs-2.1": {
temperature: 0.6,
top_p: 0.95,
max_tokens: 4096,
frequency_penalty: 0,
presence_penalty: 0,
seed: 0,
},
"nvidia/llama-3.1-nemoguard-8b-topic-control": {
temperature: 0.5,
top_p: 1,
Expand Down
1 change: 1 addition & 0 deletions packages/modelparams/src/generated/model-ids.ts
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Expand Up@@ -269,6 +269,7 @@ export const MODEL_IDS = [
"moonshot/moonshot-v1-8k",
"nvidia/deepseek-v4-flash-0731",
"nvidia/gliner-pii",
"nvidia/laguna-xs-2.1",
"nvidia/llama-3.1-nemoguard-8b-topic-control",
"nvidia/llama-3.1-nemotron-nano-8b-v1",
"nvidia/llama-3.1-nemotron-safety-guard-8b-v3",
Expand Down
9 changes: 9 additions & 0 deletions packages/modelparams/src/generated/params-by-id.ts
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Expand Up@@ -2181,6 +2181,15 @@ export type ParamsById = {
overlap: number;
flat_ner: boolean;
};
"nvidia/laguna-xs-2.1": {
temperature: number;
top_p: number;
max_tokens: number;
frequency_penalty: number;
presence_penalty: number;
seed: number;
stop: string;
};
"nvidia/llama-3.1-nemoguard-8b-topic-control": {
temperature: number;
top_p: number;
Expand Down
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feat: add nvidia/poolside/laguna-xs-2.1#352

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feat: add nvidia/poolside/laguna-xs-2.1
#352
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65 changes: 65 additions & 0 deletions
models/nvidia/laguna-xs-2.1.yaml

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Original file line numberDiff line numberDiff line change
@@ -0,0 +1,65 @@
# yaml-language-server: $schema=https://modelparams.dev/api/v1/schema.json
provider: nvidia
authType: api_key
apiSurface: openai-chat-completions
model: laguna-xs-2.1
wireId: poolside/laguna-xs-2.1
params:
 - path: temperature
 type: number
 label: Temperature
 description: Controls randomness. Lower values make outputs more focused; higher values make them more varied. Not recommended to modify both temperature and top_p in the same call.
 default: 0.6
 range:
 min: 0
 max: 1
 group: sampling
 - path: top_p
 type: number
 label: Top P
 description: Controls nucleus sampling by limiting generation to tokens within the selected cumulative probability. Not recommended to modify both temperature and top_p in the same call.
 default: 0.95
 range:
 max: 1
 group: sampling
 - path: max_tokens
 type: integer
 label: Max tokens
 description: Maximum number of tokens to generate. Generation stops when this limit is reached.
 default: 4096
 range:
 min: 1
 max: 16384
 group: generation_length
 - path: frequency_penalty
 type: number
 label: Frequency penalty
 description: Penalizes new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.
 default: 0
 range:
 min: -2
 max: 2
 group: sampling
 - path: presence_penalty
 type: number
 label: Presence penalty
 description: Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.
 default: 0
 range:
 min: -2
 max: 2
 group: sampling
 - path: seed
 type: integer
 label: Seed
 description: Best-effort deterministic sampling seed. Changing the seed produces a different response with similar characteristics. Fix the seed to reproduce results.
 default: 0
 range:
 min: 0
 max: 18446744073709552000
 group: sampling
 - path: stop
 type: string
 label: Stop
 description: A string or list of strings where the API will stop generating further tokens. The returned text will not contain the stop sequence.
 group: generation_length

87 changes: 87 additions & 0 deletions
packages/modelparams-python/src/modelparams/_generated/catalog.json

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Original file line numberDiff line numberDiff line change
Expand Up@@ -22012,6 +22012,93 @@
 }
 ]
 },
 {
 "provider": "nvidia",
 "authType": "api_key",
 "apiSurface": "openai-chat-completions",
 "model": "laguna-xs-2.1",
 "wireId": "poolside/laguna-xs-2.1",
 "params": [
 {
 "path": "temperature",
 "label": "Temperature",
 "description": "Controls randomness. Lower values make outputs more focused; higher values make them more varied. Not recommended to modify both temperature and top_p in the same call.",
 "group": "sampling",
 "type": "number",
 "default": 0.6,
 "range": {
 "min": 0,
 "max": 1
 }
 },
 {
 "path": "top_p",
 "label": "Top P",
 "description": "Controls nucleus sampling by limiting generation to tokens within the selected cumulative probability. Not recommended to modify both temperature and top_p in the same call.",
 "group": "sampling",
 "type": "number",
 "default": 0.95,
 "range": {
 "max": 1
 }
 },
 {
 "path": "max_tokens",
 "label": "Max tokens",
 "description": "Maximum number of tokens to generate. Generation stops when this limit is reached.",
 "group": "generation_length",
 "type": "integer",
 "default": 4096,
 "range": {
 "min": 1,
 "max": 16384
 }
 },
 {
 "path": "frequency_penalty",
 "label": "Frequency penalty",
 "description": "Penalizes new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.",
 "group": "sampling",
 "type": "number",
 "default": 0,
 "range": {
 "min": -2,
 "max": 2
 }
 },
 {
 "path": "presence_penalty",
 "label": "Presence penalty",
 "description": "Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.",
 "group": "sampling",
 "type": "number",
 "default": 0,
 "range": {
 "min": -2,
 "max": 2
 }
 },
 {
 "path": "seed",
 "label": "Seed",
 "description": "Best-effort deterministic sampling seed. Changing the seed produces a different response with similar characteristics. Fix the seed to reproduce results.",
 "group": "sampling",
 "type": "integer",
 "default": 0,
 "range": {
 "min": 0,
 "max": 18446744073709552000
 }
 },
 {
 "path": "stop",
 "label": "Stop",
 "description": "A string or list of strings where the API will stop generating further tokens. The returned text will not contain the stop sequence.",
 "group": "generation_length",
 "type": "string"
 }
 ]
 },
 {
 "provider": "nvidia",
 "authType": "api_key",
Expand Down

2 changes: 2 additions & 0 deletions
packages/modelparams-python/src/modelparams/_generated/model_ids.py

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Original file line numberDiff line numberDiff line change
Expand Up@@ -271,6 +271,7 @@
 "moonshot/moonshot-v1-8k",
 "nvidia/deepseek-v4-flash-0731",
 "nvidia/gliner-pii",
 "nvidia/laguna-xs-2.1",
 "nvidia/llama-3.1-nemoguard-8b-topic-control",
 "nvidia/llama-3.1-nemotron-nano-8b-v1",
 "nvidia/llama-3.1-nemotron-safety-guard-8b-v3",
Expand DownExpand Up@@ -674,6 +675,7 @@
 "moonshot/moonshot-v1-8k",
 "nvidia/deepseek-v4-flash-0731",
 "nvidia/gliner-pii",
 "nvidia/laguna-xs-2.1",
 "nvidia/llama-3.1-nemoguard-8b-topic-control",
 "nvidia/llama-3.1-nemotron-nano-8b-v1",
 "nvidia/llama-3.1-nemotron-safety-guard-8b-v3",
Expand Down

1 change: 1 addition & 0 deletions
packages/modelparams-python/src/modelparams/_generated/registry.py

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Original file line numberDiff line numberDiff line change
Expand Up@@ -296,6 +296,7 @@
 "moonshot/moonshot-v1-8k": moonshot.Moonshot_V1_8kParams,
 "nvidia/deepseek-v4-flash-0731": nvidia.Deepseek_V4_Flash_0731Params,
 "nvidia/gliner-pii": nvidia.Gliner_PiiParams,
 "nvidia/laguna-xs-2.1": nvidia.Laguna_Xs_2_1Params,
 "nvidia/llama-3.1-nemoguard-8b-topic-control": nvidia.Llama_3_1_Nemoguard_8b_Topic_ControlParams,
 "nvidia/llama-3.1-nemotron-nano-8b-v1": nvidia.Llama_3_1_Nemotron_Nano_8b_V1Params,
 "nvidia/llama-3.1-nemotron-safety-guard-8b-v3": nvidia.Llama_3_1_Nemotron_Safety_Guard_8b_V3Params,
Expand Down

16 changes: 16 additions & 0 deletions
packages/modelparams-python/src/modelparams/types/nvidia.py

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Original file line numberDiff line numberDiff line change
Expand Up@@ -37,6 +37,21 @@
)
setattr(Gliner_PiiParams, "__pydantic_config__", _PARAMS_CONFIG)

Laguna_Xs_2_1Params = TypedDict(
 "Laguna_Xs_2_1Params",
 {
 "temperature": Annotated[float, Field(ge=0, le=1)],
 "top_p": Annotated[float, Field(le=1)],
 "max_tokens": Annotated[int, Field(ge=1, le=16384)],
 "frequency_penalty": Annotated[float, Field(ge=-2, le=2)],
 "presence_penalty": Annotated[float, Field(ge=-2, le=2)],
 "seed": Annotated[int, Field(ge=0, le=18446744073709552000)],
 "stop": str,
 },
 total=False,
)
setattr(Laguna_Xs_2_1Params, "__pydantic_config__", _PARAMS_CONFIG)

Llama_3_1_Nemoguard_8b_Topic_ControlParams = TypedDict(
 "Llama_3_1_Nemoguard_8b_Topic_ControlParams",
 {
Expand DownExpand Up@@ -242,6 +257,7 @@
__all__ = [
 "Deepseek_V4_Flash_0731Params",
 "Gliner_PiiParams",
 "Laguna_Xs_2_1Params",
 "Llama_3_1_Nemoguard_8b_Topic_ControlParams",
 "Llama_3_1_Nemotron_Nano_8b_V1Params",
 "Llama_3_1_Nemotron_Safety_Guard_8b_V3Params",
Expand Down

87 changes: 87 additions & 0 deletions
packages/modelparams/src/generated/data.ts

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Original file line numberDiff line numberDiff line change
Expand Up@@ -22017,6 +22017,93 @@ const GENERATED_CATALOG = [
 }
 ]
 },
 {
 "provider": "nvidia",
 "authType": "api_key",
 "apiSurface": "openai-chat-completions",
 "model": "laguna-xs-2.1",
 "wireId": "poolside/laguna-xs-2.1",
 "params": [
 {
 "path": "temperature",
 "label": "Temperature",
 "description": "Controls randomness. Lower values make outputs more focused; higher values make them more varied. Not recommended to modify both temperature and top_p in the same call.",
 "group": "sampling",
 "type": "number",
 "default": 0.6,
 "range": {
 "min": 0,
 "max": 1
 }
 },
 {
 "path": "top_p",
 "label": "Top P",
 "description": "Controls nucleus sampling by limiting generation to tokens within the selected cumulative probability. Not recommended to modify both temperature and top_p in the same call.",
 "group": "sampling",
 "type": "number",
 "default": 0.95,
 "range": {
 "max": 1
 }
 },
 {
 "path": "max_tokens",
 "label": "Max tokens",
 "description": "Maximum number of tokens to generate. Generation stops when this limit is reached.",
 "group": "generation_length",
 "type": "integer",
 "default": 4096,
 "range": {
 "min": 1,
 "max": 16384
 }
 },
 {
 "path": "frequency_penalty",
 "label": "Frequency penalty",
 "description": "Penalizes new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.",
 "group": "sampling",
 "type": "number",
 "default": 0,
 "range": {
 "min": -2,
 "max": 2
 }
 },
 {
 "path": "presence_penalty",
 "label": "Presence penalty",
 "description": "Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.",
 "group": "sampling",
 "type": "number",
 "default": 0,
 "range": {
 "min": -2,
 "max": 2
 }
 },
 {
 "path": "seed",
 "label": "Seed",
 "description": "Best-effort deterministic sampling seed. Changing the seed produces a different response with similar characteristics. Fix the seed to reproduce results.",
 "group": "sampling",
 "type": "integer",
 "default": 0,
 "range": {
 "min": 0,
 "max": 18446744073709552000
 }
 },
 {
 "path": "stop",
 "label": "Stop",
 "description": "A string or list of strings where the API will stop generating further tokens. The returned text will not contain the stop sequence.",
 "group": "generation_length",
 "type": "string"
 }
 ]
 },
 {
 "provider": "nvidia",
 "authType": "api_key",
Expand Down

8 changes: 8 additions & 0 deletions
packages/modelparams/src/generated/defaults.ts

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -1302,6 +1302,14 @@ export const DEFAULTS = {
 overlap: 128,
 flat_ner: false,
 },
 "nvidia/laguna-xs-2.1": {
 temperature: 0.6,
 top_p: 0.95,
 max_tokens: 4096,
 frequency_penalty: 0,
 presence_penalty: 0,
 seed: 0,
 },
 "nvidia/llama-3.1-nemoguard-8b-topic-control": {
 temperature: 0.5,
 top_p: 1,
Expand Down

1 change: 1 addition & 0 deletions
packages/modelparams/src/generated/model-ids.ts

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Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -269,6 +269,7 @@ export const MODEL_IDS = [
 "moonshot/moonshot-v1-8k",
 "nvidia/deepseek-v4-flash-0731",
 "nvidia/gliner-pii",
 "nvidia/laguna-xs-2.1",
 "nvidia/llama-3.1-nemoguard-8b-topic-control",
 "nvidia/llama-3.1-nemotron-nano-8b-v1",
 "nvidia/llama-3.1-nemotron-safety-guard-8b-v3",
Expand Down

9 changes: 9 additions & 0 deletions
packages/modelparams/src/generated/params-by-id.ts

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Original file line numberDiff line numberDiff line change
Expand Up@@ -2181,6 +2181,15 @@ export type ParamsById = {
 overlap: number;
 flat_ner: boolean;
 };
 "nvidia/laguna-xs-2.1": {
 temperature: number;
 top_p: number;
 max_tokens: number;
 frequency_penalty: number;
 presence_penalty: number;
 seed: number;
 stop: string;
 };
 "nvidia/llama-3.1-nemoguard-8b-topic-control": {
 temperature: number;
 top_p: number;
Expand Down
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65 changes: 65 additions & 0 deletions
models/nvidia/laguna-xs-2.1.yaml

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Original file line numberDiff line numberDiff line change
@@ -0,0 +1,65 @@
# yaml-language-server: $schema=https://modelparams.dev/api/v1/schema.json
provider: nvidia
authType: api_key
apiSurface: openai-chat-completions
model: laguna-xs-2.1
wireId: poolside/laguna-xs-2.1
params:
 - path: temperature
 type: number
 label: Temperature
 description: Controls randomness. Lower values make outputs more focused; higher values make them more varied. Not recommended to modify both temperature and top_p in the same call.
 default: 0.6
 range:
 min: 0
 max: 1
 group: sampling
 - path: top_p
 type: number
 label: Top P
 description: Controls nucleus sampling by limiting generation to tokens within the selected cumulative probability. Not recommended to modify both temperature and top_p in the same call.
 default: 0.95
 range:
 max: 1
 group: sampling
 - path: max_tokens
 type: integer
 label: Max tokens
 description: Maximum number of tokens to generate. Generation stops when this limit is reached.
 default: 4096
 range:
 min: 1
 max: 16384
 group: generation_length
 - path: frequency_penalty
 type: number
 label: Frequency penalty
 description: Penalizes new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.
 default: 0
 range:
 min: -2
 max: 2
 group: sampling
 - path: presence_penalty
 type: number
 label: Presence penalty
 description: Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.
 default: 0
 range:
 min: -2
 max: 2
 group: sampling
 - path: seed
 type: integer
 label: Seed
 description: Best-effort deterministic sampling seed. Changing the seed produces a different response with similar characteristics. Fix the seed to reproduce results.
 default: 0
 range:
 min: 0
 max: 18446744073709552000
 group: sampling
 - path: stop
 type: string
 label: Stop
 description: A string or list of strings where the API will stop generating further tokens. The returned text will not contain the stop sequence.
 group: generation_length

87 changes: 87 additions & 0 deletions
packages/modelparams-python/src/modelparams/_generated/catalog.json

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -22012,6 +22012,93 @@
 }
 ]
 },
 {
 "provider": "nvidia",
 "authType": "api_key",
 "apiSurface": "openai-chat-completions",
 "model": "laguna-xs-2.1",
 "wireId": "poolside/laguna-xs-2.1",
 "params": [
 {
 "path": "temperature",
 "label": "Temperature",
 "description": "Controls randomness. Lower values make outputs more focused; higher values make them more varied. Not recommended to modify both temperature and top_p in the same call.",
 "group": "sampling",
 "type": "number",
 "default": 0.6,
 "range": {
 "min": 0,
 "max": 1
 }
 },
 {
 "path": "top_p",
 "label": "Top P",
 "description": "Controls nucleus sampling by limiting generation to tokens within the selected cumulative probability. Not recommended to modify both temperature and top_p in the same call.",
 "group": "sampling",
 "type": "number",
 "default": 0.95,
 "range": {
 "max": 1
 }
 },
 {
 "path": "max_tokens",
 "label": "Max tokens",
 "description": "Maximum number of tokens to generate. Generation stops when this limit is reached.",
 "group": "generation_length",
 "type": "integer",
 "default": 4096,
 "range": {
 "min": 1,
 "max": 16384
 }
 },
 {
 "path": "frequency_penalty",
 "label": "Frequency penalty",
 "description": "Penalizes new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.",
 "group": "sampling",
 "type": "number",
 "default": 0,
 "range": {
 "min": -2,
 "max": 2
 }
 },
 {
 "path": "presence_penalty",
 "label": "Presence penalty",
 "description": "Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.",
 "group": "sampling",
 "type": "number",
 "default": 0,
 "range": {
 "min": -2,
 "max": 2
 }
 },
 {
 "path": "seed",
 "label": "Seed",
 "description": "Best-effort deterministic sampling seed. Changing the seed produces a different response with similar characteristics. Fix the seed to reproduce results.",
 "group": "sampling",
 "type": "integer",
 "default": 0,
 "range": {
 "min": 0,
 "max": 18446744073709552000
 }
 },
 {
 "path": "stop",
 "label": "Stop",
 "description": "A string or list of strings where the API will stop generating further tokens. The returned text will not contain the stop sequence.",
 "group": "generation_length",
 "type": "string"
 }
 ]
 },
 {
 "provider": "nvidia",
 "authType": "api_key",
Expand Down

2 changes: 2 additions & 0 deletions
packages/modelparams-python/src/modelparams/_generated/model_ids.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -271,6 +271,7 @@
 "moonshot/moonshot-v1-8k",
 "nvidia/deepseek-v4-flash-0731",
 "nvidia/gliner-pii",
 "nvidia/laguna-xs-2.1",
 "nvidia/llama-3.1-nemoguard-8b-topic-control",
 "nvidia/llama-3.1-nemotron-nano-8b-v1",
 "nvidia/llama-3.1-nemotron-safety-guard-8b-v3",
Expand DownExpand Up@@ -674,6 +675,7 @@
 "moonshot/moonshot-v1-8k",
 "nvidia/deepseek-v4-flash-0731",
 "nvidia/gliner-pii",
 "nvidia/laguna-xs-2.1",
 "nvidia/llama-3.1-nemoguard-8b-topic-control",
 "nvidia/llama-3.1-nemotron-nano-8b-v1",
 "nvidia/llama-3.1-nemotron-safety-guard-8b-v3",
Expand Down

1 change: 1 addition & 0 deletions
packages/modelparams-python/src/modelparams/_generated/registry.py

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Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -296,6 +296,7 @@
 "moonshot/moonshot-v1-8k": moonshot.Moonshot_V1_8kParams,
 "nvidia/deepseek-v4-flash-0731": nvidia.Deepseek_V4_Flash_0731Params,
 "nvidia/gliner-pii": nvidia.Gliner_PiiParams,
 "nvidia/laguna-xs-2.1": nvidia.Laguna_Xs_2_1Params,
 "nvidia/llama-3.1-nemoguard-8b-topic-control": nvidia.Llama_3_1_Nemoguard_8b_Topic_ControlParams,
 "nvidia/llama-3.1-nemotron-nano-8b-v1": nvidia.Llama_3_1_Nemotron_Nano_8b_V1Params,
 "nvidia/llama-3.1-nemotron-safety-guard-8b-v3": nvidia.Llama_3_1_Nemotron_Safety_Guard_8b_V3Params,
Expand Down

16 changes: 16 additions & 0 deletions
packages/modelparams-python/src/modelparams/types/nvidia.py

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Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -37,6 +37,21 @@
)
setattr(Gliner_PiiParams, "__pydantic_config__", _PARAMS_CONFIG)

Laguna_Xs_2_1Params = TypedDict(
 "Laguna_Xs_2_1Params",
 {
 "temperature": Annotated[float, Field(ge=0, le=1)],
 "top_p": Annotated[float, Field(le=1)],
 "max_tokens": Annotated[int, Field(ge=1, le=16384)],
 "frequency_penalty": Annotated[float, Field(ge=-2, le=2)],
 "presence_penalty": Annotated[float, Field(ge=-2, le=2)],
 "seed": Annotated[int, Field(ge=0, le=18446744073709552000)],
 "stop": str,
 },
 total=False,
)
setattr(Laguna_Xs_2_1Params, "__pydantic_config__", _PARAMS_CONFIG)

Llama_3_1_Nemoguard_8b_Topic_ControlParams = TypedDict(
 "Llama_3_1_Nemoguard_8b_Topic_ControlParams",
 {
Expand DownExpand Up@@ -242,6 +257,7 @@
__all__ = [
 "Deepseek_V4_Flash_0731Params",
 "Gliner_PiiParams",
 "Laguna_Xs_2_1Params",
 "Llama_3_1_Nemoguard_8b_Topic_ControlParams",
 "Llama_3_1_Nemotron_Nano_8b_V1Params",
 "Llama_3_1_Nemotron_Safety_Guard_8b_V3Params",
Expand Down

87 changes: 87 additions & 0 deletions
packages/modelparams/src/generated/data.ts

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Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -22017,6 +22017,93 @@ const GENERATED_CATALOG = [
 }
 ]
 },
 {
 "provider": "nvidia",
 "authType": "api_key",
 "apiSurface": "openai-chat-completions",
 "model": "laguna-xs-2.1",
 "wireId": "poolside/laguna-xs-2.1",
 "params": [
 {
 "path": "temperature",
 "label": "Temperature",
 "description": "Controls randomness. Lower values make outputs more focused; higher values make them more varied. Not recommended to modify both temperature and top_p in the same call.",
 "group": "sampling",
 "type": "number",
 "default": 0.6,
 "range": {
 "min": 0,
 "max": 1
 }
 },
 {
 "path": "top_p",
 "label": "Top P",
 "description": "Controls nucleus sampling by limiting generation to tokens within the selected cumulative probability. Not recommended to modify both temperature and top_p in the same call.",
 "group": "sampling",
 "type": "number",
 "default": 0.95,
 "range": {
 "max": 1
 }
 },
 {
 "path": "max_tokens",
 "label": "Max tokens",
 "description": "Maximum number of tokens to generate. Generation stops when this limit is reached.",
 "group": "generation_length",
 "type": "integer",
 "default": 4096,
 "range": {
 "min": 1,
 "max": 16384
 }
 },
 {
 "path": "frequency_penalty",
 "label": "Frequency penalty",
 "description": "Penalizes new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.",
 "group": "sampling",
 "type": "number",
 "default": 0,
 "range": {
 "min": -2,
 "max": 2
 }
 },
 {
 "path": "presence_penalty",
 "label": "Presence penalty",
 "description": "Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.",
 "group": "sampling",
 "type": "number",
 "default": 0,
 "range": {
 "min": -2,
 "max": 2
 }
 },
 {
 "path": "seed",
 "label": "Seed",
 "description": "Best-effort deterministic sampling seed. Changing the seed produces a different response with similar characteristics. Fix the seed to reproduce results.",
 "group": "sampling",
 "type": "integer",
 "default": 0,
 "range": {
 "min": 0,
 "max": 18446744073709552000
 }
 },
 {
 "path": "stop",
 "label": "Stop",
 "description": "A string or list of strings where the API will stop generating further tokens. The returned text will not contain the stop sequence.",
 "group": "generation_length",
 "type": "string"
 }
 ]
 },
 {
 "provider": "nvidia",
 "authType": "api_key",
Expand Down

8 changes: 8 additions & 0 deletions
packages/modelparams/src/generated/defaults.ts

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -1302,6 +1302,14 @@ export const DEFAULTS = {
 overlap: 128,
 flat_ner: false,
 },
 "nvidia/laguna-xs-2.1": {
 temperature: 0.6,
 top_p: 0.95,
 max_tokens: 4096,
 frequency_penalty: 0,
 presence_penalty: 0,
 seed: 0,
 },
 "nvidia/llama-3.1-nemoguard-8b-topic-control": {
 temperature: 0.5,
 top_p: 1,
Expand Down

1 change: 1 addition & 0 deletions
packages/modelparams/src/generated/model-ids.ts

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -269,6 +269,7 @@ export const MODEL_IDS = [
 "moonshot/moonshot-v1-8k",
 "nvidia/deepseek-v4-flash-0731",
 "nvidia/gliner-pii",
 "nvidia/laguna-xs-2.1",
 "nvidia/llama-3.1-nemoguard-8b-topic-control",
 "nvidia/llama-3.1-nemotron-nano-8b-v1",
 "nvidia/llama-3.1-nemotron-safety-guard-8b-v3",
Expand Down

9 changes: 9 additions & 0 deletions
packages/modelparams/src/generated/params-by-id.ts

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -2181,6 +2181,15 @@ export type ParamsById = {
 overlap: number;
 flat_ner: boolean;
 };
 "nvidia/laguna-xs-2.1": {
 temperature: number;
 top_p: number;
 max_tokens: number;
 frequency_penalty: number;
 presence_penalty: number;
 seed: number;
 stop: string;
 };
 "nvidia/llama-3.1-nemoguard-8b-topic-control": {
 temperature: number;
 top_p: number;
Expand Down
Loading

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feat: add nvidia/poolside/laguna-xs-2.1#352

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feat: add nvidia/poolside/laguna-xs-2.1
#352
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65 changes: 65 additions & 0 deletions
models/nvidia/laguna-xs-2.1.yaml

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Original file line numberDiff line numberDiff line change
@@ -0,0 +1,65 @@
# yaml-language-server: $schema=https://modelparams.dev/api/v1/schema.json
provider: nvidia
authType: api_key
apiSurface: openai-chat-completions
model: laguna-xs-2.1
wireId: poolside/laguna-xs-2.1
params:
 - path: temperature
 type: number
 label: Temperature
 description: Controls randomness. Lower values make outputs more focused; higher values make them more varied. Not recommended to modify both temperature and top_p in the same call.
 default: 0.6
 range:
 min: 0
 max: 1
 group: sampling
 - path: top_p
 type: number
 label: Top P
 description: Controls nucleus sampling by limiting generation to tokens within the selected cumulative probability. Not recommended to modify both temperature and top_p in the same call.
 default: 0.95
 range:
 max: 1
 group: sampling
 - path: max_tokens
 type: integer
 label: Max tokens
 description: Maximum number of tokens to generate. Generation stops when this limit is reached.
 default: 4096
 range:
 min: 1
 max: 16384
 group: generation_length
 - path: frequency_penalty
 type: number
 label: Frequency penalty
 description: Penalizes new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.
 default: 0
 range:
 min: -2
 max: 2
 group: sampling
 - path: presence_penalty
 type: number
 label: Presence penalty
 description: Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.
 default: 0
 range:
 min: -2
 max: 2
 group: sampling
 - path: seed
 type: integer
 label: Seed
 description: Best-effort deterministic sampling seed. Changing the seed produces a different response with similar characteristics. Fix the seed to reproduce results.
 default: 0
 range:
 min: 0
 max: 18446744073709552000
 group: sampling
 - path: stop
 type: string
 label: Stop
 description: A string or list of strings where the API will stop generating further tokens. The returned text will not contain the stop sequence.
 group: generation_length

87 changes: 87 additions & 0 deletions
packages/modelparams-python/src/modelparams/_generated/catalog.json

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -22012,6 +22012,93 @@
 }
 ]
 },
 {
 "provider": "nvidia",
 "authType": "api_key",
 "apiSurface": "openai-chat-completions",
 "model": "laguna-xs-2.1",
 "wireId": "poolside/laguna-xs-2.1",
 "params": [
 {
 "path": "temperature",
 "label": "Temperature",
 "description": "Controls randomness. Lower values make outputs more focused; higher values make them more varied. Not recommended to modify both temperature and top_p in the same call.",
 "group": "sampling",
 "type": "number",
 "default": 0.6,
 "range": {
 "min": 0,
 "max": 1
 }
 },
 {
 "path": "top_p",
 "label": "Top P",
 "description": "Controls nucleus sampling by limiting generation to tokens within the selected cumulative probability. Not recommended to modify both temperature and top_p in the same call.",
 "group": "sampling",
 "type": "number",
 "default": 0.95,
 "range": {
 "max": 1
 }
 },
 {
 "path": "max_tokens",
 "label": "Max tokens",
 "description": "Maximum number of tokens to generate. Generation stops when this limit is reached.",
 "group": "generation_length",
 "type": "integer",
 "default": 4096,
 "range": {
 "min": 1,
 "max": 16384
 }
 },
 {
 "path": "frequency_penalty",
 "label": "Frequency penalty",
 "description": "Penalizes new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.",
 "group": "sampling",
 "type": "number",
 "default": 0,
 "range": {
 "min": -2,
 "max": 2
 }
 },
 {
 "path": "presence_penalty",
 "label": "Presence penalty",
 "description": "Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.",
 "group": "sampling",
 "type": "number",
 "default": 0,
 "range": {
 "min": -2,
 "max": 2
 }
 },
 {
 "path": "seed",
 "label": "Seed",
 "description": "Best-effort deterministic sampling seed. Changing the seed produces a different response with similar characteristics. Fix the seed to reproduce results.",
 "group": "sampling",
 "type": "integer",
 "default": 0,
 "range": {
 "min": 0,
 "max": 18446744073709552000
 }
 },
 {
 "path": "stop",
 "label": "Stop",
 "description": "A string or list of strings where the API will stop generating further tokens. The returned text will not contain the stop sequence.",
 "group": "generation_length",
 "type": "string"
 }
 ]
 },
 {
 "provider": "nvidia",
 "authType": "api_key",
Expand Down

2 changes: 2 additions & 0 deletions
packages/modelparams-python/src/modelparams/_generated/model_ids.py

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Original file line numberDiff line numberDiff line change
Expand Up@@ -271,6 +271,7 @@
 "moonshot/moonshot-v1-8k",
 "nvidia/deepseek-v4-flash-0731",
 "nvidia/gliner-pii",
 "nvidia/laguna-xs-2.1",
 "nvidia/llama-3.1-nemoguard-8b-topic-control",
 "nvidia/llama-3.1-nemotron-nano-8b-v1",
 "nvidia/llama-3.1-nemotron-safety-guard-8b-v3",
Expand DownExpand Up@@ -674,6 +675,7 @@
 "moonshot/moonshot-v1-8k",
 "nvidia/deepseek-v4-flash-0731",
 "nvidia/gliner-pii",
 "nvidia/laguna-xs-2.1",
 "nvidia/llama-3.1-nemoguard-8b-topic-control",
 "nvidia/llama-3.1-nemotron-nano-8b-v1",
 "nvidia/llama-3.1-nemotron-safety-guard-8b-v3",
Expand Down

1 change: 1 addition & 0 deletions
packages/modelparams-python/src/modelparams/_generated/registry.py

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Original file line numberDiff line numberDiff line change
Expand Up@@ -296,6 +296,7 @@
 "moonshot/moonshot-v1-8k": moonshot.Moonshot_V1_8kParams,
 "nvidia/deepseek-v4-flash-0731": nvidia.Deepseek_V4_Flash_0731Params,
 "nvidia/gliner-pii": nvidia.Gliner_PiiParams,
 "nvidia/laguna-xs-2.1": nvidia.Laguna_Xs_2_1Params,
 "nvidia/llama-3.1-nemoguard-8b-topic-control": nvidia.Llama_3_1_Nemoguard_8b_Topic_ControlParams,
 "nvidia/llama-3.1-nemotron-nano-8b-v1": nvidia.Llama_3_1_Nemotron_Nano_8b_V1Params,
 "nvidia/llama-3.1-nemotron-safety-guard-8b-v3": nvidia.Llama_3_1_Nemotron_Safety_Guard_8b_V3Params,
Expand Down

16 changes: 16 additions & 0 deletions
packages/modelparams-python/src/modelparams/types/nvidia.py

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Original file line numberDiff line numberDiff line change
Expand Up@@ -37,6 +37,21 @@
)
setattr(Gliner_PiiParams, "__pydantic_config__", _PARAMS_CONFIG)

Laguna_Xs_2_1Params = TypedDict(
 "Laguna_Xs_2_1Params",
 {
 "temperature": Annotated[float, Field(ge=0, le=1)],
 "top_p": Annotated[float, Field(le=1)],
 "max_tokens": Annotated[int, Field(ge=1, le=16384)],
 "frequency_penalty": Annotated[float, Field(ge=-2, le=2)],
 "presence_penalty": Annotated[float, Field(ge=-2, le=2)],
 "seed": Annotated[int, Field(ge=0, le=18446744073709552000)],
 "stop": str,
 },
 total=False,
)
setattr(Laguna_Xs_2_1Params, "__pydantic_config__", _PARAMS_CONFIG)

Llama_3_1_Nemoguard_8b_Topic_ControlParams = TypedDict(
 "Llama_3_1_Nemoguard_8b_Topic_ControlParams",
 {
Expand DownExpand Up@@ -242,6 +257,7 @@
__all__ = [
 "Deepseek_V4_Flash_0731Params",
 "Gliner_PiiParams",
 "Laguna_Xs_2_1Params",
 "Llama_3_1_Nemoguard_8b_Topic_ControlParams",
 "Llama_3_1_Nemotron_Nano_8b_V1Params",
 "Llama_3_1_Nemotron_Safety_Guard_8b_V3Params",
Expand Down

87 changes: 87 additions & 0 deletions
packages/modelparams/src/generated/data.ts

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Original file line numberDiff line numberDiff line change
Expand Up@@ -22017,6 +22017,93 @@ const GENERATED_CATALOG = [
 }
 ]
 },
 {
 "provider": "nvidia",
 "authType": "api_key",
 "apiSurface": "openai-chat-completions",
 "model": "laguna-xs-2.1",
 "wireId": "poolside/laguna-xs-2.1",
 "params": [
 {
 "path": "temperature",
 "label": "Temperature",
 "description": "Controls randomness. Lower values make outputs more focused; higher values make them more varied. Not recommended to modify both temperature and top_p in the same call.",
 "group": "sampling",
 "type": "number",
 "default": 0.6,
 "range": {
 "min": 0,
 "max": 1
 }
 },
 {
 "path": "top_p",
 "label": "Top P",
 "description": "Controls nucleus sampling by limiting generation to tokens within the selected cumulative probability. Not recommended to modify both temperature and top_p in the same call.",
 "group": "sampling",
 "type": "number",
 "default": 0.95,
 "range": {
 "max": 1
 }
 },
 {
 "path": "max_tokens",
 "label": "Max tokens",
 "description": "Maximum number of tokens to generate. Generation stops when this limit is reached.",
 "group": "generation_length",
 "type": "integer",
 "default": 4096,
 "range": {
 "min": 1,
 "max": 16384
 }
 },
 {
 "path": "frequency_penalty",
 "label": "Frequency penalty",
 "description": "Penalizes new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.",
 "group": "sampling",
 "type": "number",
 "default": 0,
 "range": {
 "min": -2,
 "max": 2
 }
 },
 {
 "path": "presence_penalty",
 "label": "Presence penalty",
 "description": "Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.",
 "group": "sampling",
 "type": "number",
 "default": 0,
 "range": {
 "min": -2,
 "max": 2
 }
 },
 {
 "path": "seed",
 "label": "Seed",
 "description": "Best-effort deterministic sampling seed. Changing the seed produces a different response with similar characteristics. Fix the seed to reproduce results.",
 "group": "sampling",
 "type": "integer",
 "default": 0,
 "range": {
 "min": 0,
 "max": 18446744073709552000
 }
 },
 {
 "path": "stop",
 "label": "Stop",
 "description": "A string or list of strings where the API will stop generating further tokens. The returned text will not contain the stop sequence.",
 "group": "generation_length",
 "type": "string"
 }
 ]
 },
 {
 "provider": "nvidia",
 "authType": "api_key",
Expand Down

8 changes: 8 additions & 0 deletions
packages/modelparams/src/generated/defaults.ts

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Original file line numberDiff line numberDiff line change
Expand Up@@ -1302,6 +1302,14 @@ export const DEFAULTS = {
 overlap: 128,
 flat_ner: false,
 },
 "nvidia/laguna-xs-2.1": {
 temperature: 0.6,
 top_p: 0.95,
 max_tokens: 4096,
 frequency_penalty: 0,
 presence_penalty: 0,
 seed: 0,
 },
 "nvidia/llama-3.1-nemoguard-8b-topic-control": {
 temperature: 0.5,
 top_p: 1,
Expand Down

1 change: 1 addition & 0 deletions
packages/modelparams/src/generated/model-ids.ts

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Original file line numberDiff line numberDiff line change
Expand Up@@ -269,6 +269,7 @@ export const MODEL_IDS = [
 "moonshot/moonshot-v1-8k",
 "nvidia/deepseek-v4-flash-0731",
 "nvidia/gliner-pii",
 "nvidia/laguna-xs-2.1",
 "nvidia/llama-3.1-nemoguard-8b-topic-control",
 "nvidia/llama-3.1-nemotron-nano-8b-v1",
 "nvidia/llama-3.1-nemotron-safety-guard-8b-v3",
Expand Down

9 changes: 9 additions & 0 deletions
packages/modelparams/src/generated/params-by-id.ts

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Original file line numberDiff line numberDiff line change
Expand Up@@ -2181,6 +2181,15 @@ export type ParamsById = {
 overlap: number;
 flat_ner: boolean;
 };
 "nvidia/laguna-xs-2.1": {
 temperature: number;
 top_p: number;
 max_tokens: number;
 frequency_penalty: number;
 presence_penalty: number;
 seed: number;
 stop: string;
 };
 "nvidia/llama-3.1-nemoguard-8b-topic-control": {
 temperature: number;
 top_p: number;
Expand Down
Loading

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

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65 changes: 65 additions & 0 deletions
models/nvidia/laguna-xs-2.1.yaml

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Original file line numberDiff line numberDiff line change
@@ -0,0 +1,65 @@
# yaml-language-server: $schema=https://modelparams.dev/api/v1/schema.json
provider: nvidia
authType: api_key
apiSurface: openai-chat-completions
model: laguna-xs-2.1
wireId: poolside/laguna-xs-2.1
params:
 - path: temperature
 type: number
 label: Temperature
 description: Controls randomness. Lower values make outputs more focused; higher values make them more varied. Not recommended to modify both temperature and top_p in the same call.
 default: 0.6
 range:
 min: 0
 max: 1
 group: sampling
 - path: top_p
 type: number
 label: Top P
 description: Controls nucleus sampling by limiting generation to tokens within the selected cumulative probability. Not recommended to modify both temperature and top_p in the same call.
 default: 0.95
 range:
 max: 1
 group: sampling
 - path: max_tokens
 type: integer
 label: Max tokens
 description: Maximum number of tokens to generate. Generation stops when this limit is reached.
 default: 4096
 range:
 min: 1
 max: 16384
 group: generation_length
 - path: frequency_penalty
 type: number
 label: Frequency penalty
 description: Penalizes new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.
 default: 0
 range:
 min: -2
 max: 2
 group: sampling
 - path: presence_penalty
 type: number
 label: Presence penalty
 description: Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.
 default: 0
 range:
 min: -2
 max: 2
 group: sampling
 - path: seed
 type: integer
 label: Seed
 description: Best-effort deterministic sampling seed. Changing the seed produces a different response with similar characteristics. Fix the seed to reproduce results.
 default: 0
 range:
 min: 0
 max: 18446744073709552000
 group: sampling
 - path: stop
 type: string
 label: Stop
 description: A string or list of strings where the API will stop generating further tokens. The returned text will not contain the stop sequence.
 group: generation_length

87 changes: 87 additions & 0 deletions
packages/modelparams-python/src/modelparams/_generated/catalog.json

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Original file line numberDiff line numberDiff line change
Expand Up@@ -22012,6 +22012,93 @@
 }
 ]
 },
 {
 "provider": "nvidia",
 "authType": "api_key",
 "apiSurface": "openai-chat-completions",
 "model": "laguna-xs-2.1",
 "wireId": "poolside/laguna-xs-2.1",
 "params": [
 {
 "path": "temperature",
 "label": "Temperature",
 "description": "Controls randomness. Lower values make outputs more focused; higher values make them more varied. Not recommended to modify both temperature and top_p in the same call.",
 "group": "sampling",
 "type": "number",
 "default": 0.6,
 "range": {
 "min": 0,
 "max": 1
 }
 },
 {
 "path": "top_p",
 "label": "Top P",
 "description": "Controls nucleus sampling by limiting generation to tokens within the selected cumulative probability. Not recommended to modify both temperature and top_p in the same call.",
 "group": "sampling",
 "type": "number",
 "default": 0.95,
 "range": {
 "max": 1
 }
 },
 {
 "path": "max_tokens",
 "label": "Max tokens",
 "description": "Maximum number of tokens to generate. Generation stops when this limit is reached.",
 "group": "generation_length",
 "type": "integer",
 "default": 4096,
 "range": {
 "min": 1,
 "max": 16384
 }
 },
 {
 "path": "frequency_penalty",
 "label": "Frequency penalty",
 "description": "Penalizes new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.",
 "group": "sampling",
 "type": "number",
 "default": 0,
 "range": {
 "min": -2,
 "max": 2
 }
 },
 {
 "path": "presence_penalty",
 "label": "Presence penalty",
 "description": "Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.",
 "group": "sampling",
 "type": "number",
 "default": 0,
 "range": {
 "min": -2,
 "max": 2
 }
 },
 {
 "path": "seed",
 "label": "Seed",
 "description": "Best-effort deterministic sampling seed. Changing the seed produces a different response with similar characteristics. Fix the seed to reproduce results.",
 "group": "sampling",
 "type": "integer",
 "default": 0,
 "range": {
 "min": 0,
 "max": 18446744073709552000
 }
 },
 {
 "path": "stop",
 "label": "Stop",
 "description": "A string or list of strings where the API will stop generating further tokens. The returned text will not contain the stop sequence.",
 "group": "generation_length",
 "type": "string"
 }
 ]
 },
 {
 "provider": "nvidia",
 "authType": "api_key",
Expand Down

2 changes: 2 additions & 0 deletions
packages/modelparams-python/src/modelparams/_generated/model_ids.py

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Original file line numberDiff line numberDiff line change
Expand Up@@ -271,6 +271,7 @@
 "moonshot/moonshot-v1-8k",
 "nvidia/deepseek-v4-flash-0731",
 "nvidia/gliner-pii",
 "nvidia/laguna-xs-2.1",
 "nvidia/llama-3.1-nemoguard-8b-topic-control",
 "nvidia/llama-3.1-nemotron-nano-8b-v1",
 "nvidia/llama-3.1-nemotron-safety-guard-8b-v3",
Expand DownExpand Up@@ -674,6 +675,7 @@
 "moonshot/moonshot-v1-8k",
 "nvidia/deepseek-v4-flash-0731",
 "nvidia/gliner-pii",
 "nvidia/laguna-xs-2.1",
 "nvidia/llama-3.1-nemoguard-8b-topic-control",
 "nvidia/llama-3.1-nemotron-nano-8b-v1",
 "nvidia/llama-3.1-nemotron-safety-guard-8b-v3",
Expand Down

1 change: 1 addition & 0 deletions
packages/modelparams-python/src/modelparams/_generated/registry.py

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Original file line numberDiff line numberDiff line change
Expand Up@@ -296,6 +296,7 @@
 "moonshot/moonshot-v1-8k": moonshot.Moonshot_V1_8kParams,
 "nvidia/deepseek-v4-flash-0731": nvidia.Deepseek_V4_Flash_0731Params,
 "nvidia/gliner-pii": nvidia.Gliner_PiiParams,
 "nvidia/laguna-xs-2.1": nvidia.Laguna_Xs_2_1Params,
 "nvidia/llama-3.1-nemoguard-8b-topic-control": nvidia.Llama_3_1_Nemoguard_8b_Topic_ControlParams,
 "nvidia/llama-3.1-nemotron-nano-8b-v1": nvidia.Llama_3_1_Nemotron_Nano_8b_V1Params,
 "nvidia/llama-3.1-nemotron-safety-guard-8b-v3": nvidia.Llama_3_1_Nemotron_Safety_Guard_8b_V3Params,
Expand Down

16 changes: 16 additions & 0 deletions
packages/modelparams-python/src/modelparams/types/nvidia.py

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Original file line numberDiff line numberDiff line change
Expand Up@@ -37,6 +37,21 @@
)
setattr(Gliner_PiiParams, "__pydantic_config__", _PARAMS_CONFIG)

Laguna_Xs_2_1Params = TypedDict(
 "Laguna_Xs_2_1Params",
 {
 "temperature": Annotated[float, Field(ge=0, le=1)],
 "top_p": Annotated[float, Field(le=1)],
 "max_tokens": Annotated[int, Field(ge=1, le=16384)],
 "frequency_penalty": Annotated[float, Field(ge=-2, le=2)],
 "presence_penalty": Annotated[float, Field(ge=-2, le=2)],
 "seed": Annotated[int, Field(ge=0, le=18446744073709552000)],
 "stop": str,
 },
 total=False,
)
setattr(Laguna_Xs_2_1Params, "__pydantic_config__", _PARAMS_CONFIG)

Llama_3_1_Nemoguard_8b_Topic_ControlParams = TypedDict(
 "Llama_3_1_Nemoguard_8b_Topic_ControlParams",
 {
Expand DownExpand Up@@ -242,6 +257,7 @@
__all__ = [
 "Deepseek_V4_Flash_0731Params",
 "Gliner_PiiParams",
 "Laguna_Xs_2_1Params",
 "Llama_3_1_Nemoguard_8b_Topic_ControlParams",
 "Llama_3_1_Nemotron_Nano_8b_V1Params",
 "Llama_3_1_Nemotron_Safety_Guard_8b_V3Params",
Expand Down

87 changes: 87 additions & 0 deletions
packages/modelparams/src/generated/data.ts

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Original file line numberDiff line numberDiff line change
Expand Up@@ -22017,6 +22017,93 @@ const GENERATED_CATALOG = [
 }
 ]
 },
 {
 "provider": "nvidia",
 "authType": "api_key",
 "apiSurface": "openai-chat-completions",
 "model": "laguna-xs-2.1",
 "wireId": "poolside/laguna-xs-2.1",
 "params": [
 {
 "path": "temperature",
 "label": "Temperature",
 "description": "Controls randomness. Lower values make outputs more focused; higher values make them more varied. Not recommended to modify both temperature and top_p in the same call.",
 "group": "sampling",
 "type": "number",
 "default": 0.6,
 "range": {
 "min": 0,
 "max": 1
 }
 },
 {
 "path": "top_p",
 "label": "Top P",
 "description": "Controls nucleus sampling by limiting generation to tokens within the selected cumulative probability. Not recommended to modify both temperature and top_p in the same call.",
 "group": "sampling",
 "type": "number",
 "default": 0.95,
 "range": {
 "max": 1
 }
 },
 {
 "path": "max_tokens",
 "label": "Max tokens",
 "description": "Maximum number of tokens to generate. Generation stops when this limit is reached.",
 "group": "generation_length",
 "type": "integer",
 "default": 4096,
 "range": {
 "min": 1,
 "max": 16384
 }
 },
 {
 "path": "frequency_penalty",
 "label": "Frequency penalty",
 "description": "Penalizes new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.",
 "group": "sampling",
 "type": "number",
 "default": 0,
 "range": {
 "min": -2,
 "max": 2
 }
 },
 {
 "path": "presence_penalty",
 "label": "Presence penalty",
 "description": "Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.",
 "group": "sampling",
 "type": "number",
 "default": 0,
 "range": {
 "min": -2,
 "max": 2
 }
 },
 {
 "path": "seed",
 "label": "Seed",
 "description": "Best-effort deterministic sampling seed. Changing the seed produces a different response with similar characteristics. Fix the seed to reproduce results.",
 "group": "sampling",
 "type": "integer",
 "default": 0,
 "range": {
 "min": 0,
 "max": 18446744073709552000
 }
 },
 {
 "path": "stop",
 "label": "Stop",
 "description": "A string or list of strings where the API will stop generating further tokens. The returned text will not contain the stop sequence.",
 "group": "generation_length",
 "type": "string"
 }
 ]
 },
 {
 "provider": "nvidia",
 "authType": "api_key",
Expand Down

8 changes: 8 additions & 0 deletions
packages/modelparams/src/generated/defaults.ts

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Original file line numberDiff line numberDiff line change
Expand Up@@ -1302,6 +1302,14 @@ export const DEFAULTS = {
 overlap: 128,
 flat_ner: false,
 },
 "nvidia/laguna-xs-2.1": {
 temperature: 0.6,
 top_p: 0.95,
 max_tokens: 4096,
 frequency_penalty: 0,
 presence_penalty: 0,
 seed: 0,
 },
 "nvidia/llama-3.1-nemoguard-8b-topic-control": {
 temperature: 0.5,
 top_p: 1,
Expand Down

1 change: 1 addition & 0 deletions
packages/modelparams/src/generated/model-ids.ts

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Original file line numberDiff line numberDiff line change
Expand Up@@ -269,6 +269,7 @@ export const MODEL_IDS = [
 "moonshot/moonshot-v1-8k",
 "nvidia/deepseek-v4-flash-0731",
 "nvidia/gliner-pii",
 "nvidia/laguna-xs-2.1",
 "nvidia/llama-3.1-nemoguard-8b-topic-control",
 "nvidia/llama-3.1-nemotron-nano-8b-v1",
 "nvidia/llama-3.1-nemotron-safety-guard-8b-v3",
Expand Down

9 changes: 9 additions & 0 deletions
packages/modelparams/src/generated/params-by-id.ts

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Original file line numberDiff line numberDiff line change
Expand Up@@ -2181,6 +2181,15 @@ export type ParamsById = {
 overlap: number;
 flat_ner: boolean;
 };
 "nvidia/laguna-xs-2.1": {
 temperature: number;
 top_p: number;
 max_tokens: number;
 frequency_penalty: number;
 presence_penalty: number;
 seed: number;
 stop: string;
 };
 "nvidia/llama-3.1-nemoguard-8b-topic-control": {
 temperature: number;
 top_p: number;
Expand Down
Loading

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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feat: add nvidia/poolside/laguna-xs-2.1#352

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#352
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65 changes: 65 additions & 0 deletions
models/nvidia/laguna-xs-2.1.yaml

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Original file line numberDiff line numberDiff line change
@@ -0,0 +1,65 @@
# yaml-language-server: $schema=https://modelparams.dev/api/v1/schema.json
provider: nvidia
authType: api_key
apiSurface: openai-chat-completions
model: laguna-xs-2.1
wireId: poolside/laguna-xs-2.1
params:
 - path: temperature
 type: number
 label: Temperature
 description: Controls randomness. Lower values make outputs more focused; higher values make them more varied. Not recommended to modify both temperature and top_p in the same call.
 default: 0.6
 range:
 min: 0
 max: 1
 group: sampling
 - path: top_p
 type: number
 label: Top P
 description: Controls nucleus sampling by limiting generation to tokens within the selected cumulative probability. Not recommended to modify both temperature and top_p in the same call.
 default: 0.95
 range:
 max: 1
 group: sampling
 - path: max_tokens
 type: integer
 label: Max tokens
 description: Maximum number of tokens to generate. Generation stops when this limit is reached.
 default: 4096
 range:
 min: 1
 max: 16384
 group: generation_length
 - path: frequency_penalty
 type: number
 label: Frequency penalty
 description: Penalizes new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.
 default: 0
 range:
 min: -2
 max: 2
 group: sampling
 - path: presence_penalty
 type: number
 label: Presence penalty
 description: Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.
 default: 0
 range:
 min: -2
 max: 2
 group: sampling
 - path: seed
 type: integer
 label: Seed
 description: Best-effort deterministic sampling seed. Changing the seed produces a different response with similar characteristics. Fix the seed to reproduce results.
 default: 0
 range:
 min: 0
 max: 18446744073709552000
 group: sampling
 - path: stop
 type: string
 label: Stop
 description: A string or list of strings where the API will stop generating further tokens. The returned text will not contain the stop sequence.
 group: generation_length

87 changes: 87 additions & 0 deletions
packages/modelparams-python/src/modelparams/_generated/catalog.json

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Original file line numberDiff line numberDiff line change
Expand Up@@ -22012,6 +22012,93 @@
 }
 ]
 },
 {
 "provider": "nvidia",
 "authType": "api_key",
 "apiSurface": "openai-chat-completions",
 "model": "laguna-xs-2.1",
 "wireId": "poolside/laguna-xs-2.1",
 "params": [
 {
 "path": "temperature",
 "label": "Temperature",
 "description": "Controls randomness. Lower values make outputs more focused; higher values make them more varied. Not recommended to modify both temperature and top_p in the same call.",
 "group": "sampling",
 "type": "number",
 "default": 0.6,
 "range": {
 "min": 0,
 "max": 1
 }
 },
 {
 "path": "top_p",
 "label": "Top P",
 "description": "Controls nucleus sampling by limiting generation to tokens within the selected cumulative probability. Not recommended to modify both temperature and top_p in the same call.",
 "group": "sampling",
 "type": "number",
 "default": 0.95,
 "range": {
 "max": 1
 }
 },
 {
 "path": "max_tokens",
 "label": "Max tokens",
 "description": "Maximum number of tokens to generate. Generation stops when this limit is reached.",
 "group": "generation_length",
 "type": "integer",
 "default": 4096,
 "range": {
 "min": 1,
 "max": 16384
 }
 },
 {
 "path": "frequency_penalty",
 "label": "Frequency penalty",
 "description": "Penalizes new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.",
 "group": "sampling",
 "type": "number",
 "default": 0,
 "range": {
 "min": -2,
 "max": 2
 }
 },
 {
 "path": "presence_penalty",
 "label": "Presence penalty",
 "description": "Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.",
 "group": "sampling",
 "type": "number",
 "default": 0,
 "range": {
 "min": -2,
 "max": 2
 }
 },
 {
 "path": "seed",
 "label": "Seed",
 "description": "Best-effort deterministic sampling seed. Changing the seed produces a different response with similar characteristics. Fix the seed to reproduce results.",
 "group": "sampling",
 "type": "integer",
 "default": 0,
 "range": {
 "min": 0,
 "max": 18446744073709552000
 }
 },
 {
 "path": "stop",
 "label": "Stop",
 "description": "A string or list of strings where the API will stop generating further tokens. The returned text will not contain the stop sequence.",
 "group": "generation_length",
 "type": "string"
 }
 ]
 },
 {
 "provider": "nvidia",
 "authType": "api_key",
Expand Down

2 changes: 2 additions & 0 deletions
packages/modelparams-python/src/modelparams/_generated/model_ids.py

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Original file line numberDiff line numberDiff line change
Expand Up@@ -271,6 +271,7 @@
 "moonshot/moonshot-v1-8k",
 "nvidia/deepseek-v4-flash-0731",
 "nvidia/gliner-pii",
 "nvidia/laguna-xs-2.1",
 "nvidia/llama-3.1-nemoguard-8b-topic-control",
 "nvidia/llama-3.1-nemotron-nano-8b-v1",
 "nvidia/llama-3.1-nemotron-safety-guard-8b-v3",
Expand DownExpand Up@@ -674,6 +675,7 @@
 "moonshot/moonshot-v1-8k",
 "nvidia/deepseek-v4-flash-0731",
 "nvidia/gliner-pii",
 "nvidia/laguna-xs-2.1",
 "nvidia/llama-3.1-nemoguard-8b-topic-control",
 "nvidia/llama-3.1-nemotron-nano-8b-v1",
 "nvidia/llama-3.1-nemotron-safety-guard-8b-v3",
Expand Down

1 change: 1 addition & 0 deletions
packages/modelparams-python/src/modelparams/_generated/registry.py

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Original file line numberDiff line numberDiff line change
Expand Up@@ -296,6 +296,7 @@
 "moonshot/moonshot-v1-8k": moonshot.Moonshot_V1_8kParams,
 "nvidia/deepseek-v4-flash-0731": nvidia.Deepseek_V4_Flash_0731Params,
 "nvidia/gliner-pii": nvidia.Gliner_PiiParams,
 "nvidia/laguna-xs-2.1": nvidia.Laguna_Xs_2_1Params,
 "nvidia/llama-3.1-nemoguard-8b-topic-control": nvidia.Llama_3_1_Nemoguard_8b_Topic_ControlParams,
 "nvidia/llama-3.1-nemotron-nano-8b-v1": nvidia.Llama_3_1_Nemotron_Nano_8b_V1Params,
 "nvidia/llama-3.1-nemotron-safety-guard-8b-v3": nvidia.Llama_3_1_Nemotron_Safety_Guard_8b_V3Params,
Expand Down

16 changes: 16 additions & 0 deletions
packages/modelparams-python/src/modelparams/types/nvidia.py

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Original file line numberDiff line numberDiff line change
Expand Up@@ -37,6 +37,21 @@
)
setattr(Gliner_PiiParams, "__pydantic_config__", _PARAMS_CONFIG)

Laguna_Xs_2_1Params = TypedDict(
 "Laguna_Xs_2_1Params",
 {
 "temperature": Annotated[float, Field(ge=0, le=1)],
 "top_p": Annotated[float, Field(le=1)],
 "max_tokens": Annotated[int, Field(ge=1, le=16384)],
 "frequency_penalty": Annotated[float, Field(ge=-2, le=2)],
 "presence_penalty": Annotated[float, Field(ge=-2, le=2)],
 "seed": Annotated[int, Field(ge=0, le=18446744073709552000)],
 "stop": str,
 },
 total=False,
)
setattr(Laguna_Xs_2_1Params, "__pydantic_config__", _PARAMS_CONFIG)

Llama_3_1_Nemoguard_8b_Topic_ControlParams = TypedDict(
 "Llama_3_1_Nemoguard_8b_Topic_ControlParams",
 {
Expand DownExpand Up@@ -242,6 +257,7 @@
__all__ = [
 "Deepseek_V4_Flash_0731Params",
 "Gliner_PiiParams",
 "Laguna_Xs_2_1Params",
 "Llama_3_1_Nemoguard_8b_Topic_ControlParams",
 "Llama_3_1_Nemotron_Nano_8b_V1Params",
 "Llama_3_1_Nemotron_Safety_Guard_8b_V3Params",
Expand Down

87 changes: 87 additions & 0 deletions
packages/modelparams/src/generated/data.ts

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Original file line numberDiff line numberDiff line change
Expand Up@@ -22017,6 +22017,93 @@ const GENERATED_CATALOG = [
 }
 ]
 },
 {
 "provider": "nvidia",
 "authType": "api_key",
 "apiSurface": "openai-chat-completions",
 "model": "laguna-xs-2.1",
 "wireId": "poolside/laguna-xs-2.1",
 "params": [
 {
 "path": "temperature",
 "label": "Temperature",
 "description": "Controls randomness. Lower values make outputs more focused; higher values make them more varied. Not recommended to modify both temperature and top_p in the same call.",
 "group": "sampling",
 "type": "number",
 "default": 0.6,
 "range": {
 "min": 0,
 "max": 1
 }
 },
 {
 "path": "top_p",
 "label": "Top P",
 "description": "Controls nucleus sampling by limiting generation to tokens within the selected cumulative probability. Not recommended to modify both temperature and top_p in the same call.",
 "group": "sampling",
 "type": "number",
 "default": 0.95,
 "range": {
 "max": 1
 }
 },
 {
 "path": "max_tokens",
 "label": "Max tokens",
 "description": "Maximum number of tokens to generate. Generation stops when this limit is reached.",
 "group": "generation_length",
 "type": "integer",
 "default": 4096,
 "range": {
 "min": 1,
 "max": 16384
 }
 },
 {
 "path": "frequency_penalty",
 "label": "Frequency penalty",
 "description": "Penalizes new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.",
 "group": "sampling",
 "type": "number",
 "default": 0,
 "range": {
 "min": -2,
 "max": 2
 }
 },
 {
 "path": "presence_penalty",
 "label": "Presence penalty",
 "description": "Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.",
 "group": "sampling",
 "type": "number",
 "default": 0,
 "range": {
 "min": -2,
 "max": 2
 }
 },
 {
 "path": "seed",
 "label": "Seed",
 "description": "Best-effort deterministic sampling seed. Changing the seed produces a different response with similar characteristics. Fix the seed to reproduce results.",
 "group": "sampling",
 "type": "integer",
 "default": 0,
 "range": {
 "min": 0,
 "max": 18446744073709552000
 }
 },
 {
 "path": "stop",
 "label": "Stop",
 "description": "A string or list of strings where the API will stop generating further tokens. The returned text will not contain the stop sequence.",
 "group": "generation_length",
 "type": "string"
 }
 ]
 },
 {
 "provider": "nvidia",
 "authType": "api_key",
Expand Down

8 changes: 8 additions & 0 deletions
packages/modelparams/src/generated/defaults.ts

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Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -1302,6 +1302,14 @@ export const DEFAULTS = {
 overlap: 128,
 flat_ner: false,
 },
 "nvidia/laguna-xs-2.1": {
 temperature: 0.6,
 top_p: 0.95,
 max_tokens: 4096,
 frequency_penalty: 0,
 presence_penalty: 0,
 seed: 0,
 },
 "nvidia/llama-3.1-nemoguard-8b-topic-control": {
 temperature: 0.5,
 top_p: 1,
Expand Down

1 change: 1 addition & 0 deletions
packages/modelparams/src/generated/model-ids.ts

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Original file line numberDiff line numberDiff line change
Expand Up@@ -269,6 +269,7 @@ export const MODEL_IDS = [
 "moonshot/moonshot-v1-8k",
 "nvidia/deepseek-v4-flash-0731",
 "nvidia/gliner-pii",
 "nvidia/laguna-xs-2.1",
 "nvidia/llama-3.1-nemoguard-8b-topic-control",
 "nvidia/llama-3.1-nemotron-nano-8b-v1",
 "nvidia/llama-3.1-nemotron-safety-guard-8b-v3",
Expand Down

9 changes: 9 additions & 0 deletions
packages/modelparams/src/generated/params-by-id.ts

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Original file line numberDiff line numberDiff line change
Expand Up@@ -2181,6 +2181,15 @@ export type ParamsById = {
 overlap: number;
 flat_ner: boolean;
 };
 "nvidia/laguna-xs-2.1": {
 temperature: number;
 top_p: number;
 max_tokens: number;
 frequency_penalty: number;
 presence_penalty: number;
 seed: number;
 stop: string;
 };
 "nvidia/llama-3.1-nemoguard-8b-topic-control": {
 temperature: number;
 top_p: number;
Expand Down
Loading

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
feat: add nvidia/poolside/laguna-xs-2.1#352

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feat: add nvidia/poolside/laguna-xs-2.1
#352
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65 changes: 65 additions & 0 deletions
models/nvidia/laguna-xs-2.1.yaml

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Original file line numberDiff line numberDiff line change
@@ -0,0 +1,65 @@
# yaml-language-server: $schema=https://modelparams.dev/api/v1/schema.json
provider: nvidia
authType: api_key
apiSurface: openai-chat-completions
model: laguna-xs-2.1
wireId: poolside/laguna-xs-2.1
params:
 - path: temperature
 type: number
 label: Temperature
 description: Controls randomness. Lower values make outputs more focused; higher values make them more varied. Not recommended to modify both temperature and top_p in the same call.
 default: 0.6
 range:
 min: 0
 max: 1
 group: sampling
 - path: top_p
 type: number
 label: Top P
 description: Controls nucleus sampling by limiting generation to tokens within the selected cumulative probability. Not recommended to modify both temperature and top_p in the same call.
 default: 0.95
 range:
 max: 1
 group: sampling
 - path: max_tokens
 type: integer
 label: Max tokens
 description: Maximum number of tokens to generate. Generation stops when this limit is reached.
 default: 4096
 range:
 min: 1
 max: 16384
 group: generation_length
 - path: frequency_penalty
 type: number
 label: Frequency penalty
 description: Penalizes new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.
 default: 0
 range:
 min: -2
 max: 2
 group: sampling
 - path: presence_penalty
 type: number
 label: Presence penalty
 description: Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.
 default: 0
 range:
 min: -2
 max: 2
 group: sampling
 - path: seed
 type: integer
 label: Seed
 description: Best-effort deterministic sampling seed. Changing the seed produces a different response with similar characteristics. Fix the seed to reproduce results.
 default: 0
 range:
 min: 0
 max: 18446744073709552000
 group: sampling
 - path: stop
 type: string
 label: Stop
 description: A string or list of strings where the API will stop generating further tokens. The returned text will not contain the stop sequence.
 group: generation_length

87 changes: 87 additions & 0 deletions
packages/modelparams-python/src/modelparams/_generated/catalog.json

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -22012,6 +22012,93 @@
 }
 ]
 },
 {
 "provider": "nvidia",
 "authType": "api_key",
 "apiSurface": "openai-chat-completions",
 "model": "laguna-xs-2.1",
 "wireId": "poolside/laguna-xs-2.1",
 "params": [
 {
 "path": "temperature",
 "label": "Temperature",
 "description": "Controls randomness. Lower values make outputs more focused; higher values make them more varied. Not recommended to modify both temperature and top_p in the same call.",
 "group": "sampling",
 "type": "number",
 "default": 0.6,
 "range": {
 "min": 0,
 "max": 1
 }
 },
 {
 "path": "top_p",
 "label": "Top P",
 "description": "Controls nucleus sampling by limiting generation to tokens within the selected cumulative probability. Not recommended to modify both temperature and top_p in the same call.",
 "group": "sampling",
 "type": "number",
 "default": 0.95,
 "range": {
 "max": 1
 }
 },
 {
 "path": "max_tokens",
 "label": "Max tokens",
 "description": "Maximum number of tokens to generate. Generation stops when this limit is reached.",
 "group": "generation_length",
 "type": "integer",
 "default": 4096,
 "range": {
 "min": 1,
 "max": 16384
 }
 },
 {
 "path": "frequency_penalty",
 "label": "Frequency penalty",
 "description": "Penalizes new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.",
 "group": "sampling",
 "type": "number",
 "default": 0,
 "range": {
 "min": -2,
 "max": 2
 }
 },
 {
 "path": "presence_penalty",
 "label": "Presence penalty",
 "description": "Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.",
 "group": "sampling",
 "type": "number",
 "default": 0,
 "range": {
 "min": -2,
 "max": 2
 }
 },
 {
 "path": "seed",
 "label": "Seed",
 "description": "Best-effort deterministic sampling seed. Changing the seed produces a different response with similar characteristics. Fix the seed to reproduce results.",
 "group": "sampling",
 "type": "integer",
 "default": 0,
 "range": {
 "min": 0,
 "max": 18446744073709552000
 }
 },
 {
 "path": "stop",
 "label": "Stop",
 "description": "A string or list of strings where the API will stop generating further tokens. The returned text will not contain the stop sequence.",
 "group": "generation_length",
 "type": "string"
 }
 ]
 },
 {
 "provider": "nvidia",
 "authType": "api_key",
Expand Down

2 changes: 2 additions & 0 deletions
packages/modelparams-python/src/modelparams/_generated/model_ids.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -271,6 +271,7 @@
 "moonshot/moonshot-v1-8k",
 "nvidia/deepseek-v4-flash-0731",
 "nvidia/gliner-pii",
 "nvidia/laguna-xs-2.1",
 "nvidia/llama-3.1-nemoguard-8b-topic-control",
 "nvidia/llama-3.1-nemotron-nano-8b-v1",
 "nvidia/llama-3.1-nemotron-safety-guard-8b-v3",
Expand DownExpand Up@@ -674,6 +675,7 @@
 "moonshot/moonshot-v1-8k",
 "nvidia/deepseek-v4-flash-0731",
 "nvidia/gliner-pii",
 "nvidia/laguna-xs-2.1",
 "nvidia/llama-3.1-nemoguard-8b-topic-control",
 "nvidia/llama-3.1-nemotron-nano-8b-v1",
 "nvidia/llama-3.1-nemotron-safety-guard-8b-v3",
Expand Down

1 change: 1 addition & 0 deletions
packages/modelparams-python/src/modelparams/_generated/registry.py

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Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -296,6 +296,7 @@
 "moonshot/moonshot-v1-8k": moonshot.Moonshot_V1_8kParams,
 "nvidia/deepseek-v4-flash-0731": nvidia.Deepseek_V4_Flash_0731Params,
 "nvidia/gliner-pii": nvidia.Gliner_PiiParams,
 "nvidia/laguna-xs-2.1": nvidia.Laguna_Xs_2_1Params,
 "nvidia/llama-3.1-nemoguard-8b-topic-control": nvidia.Llama_3_1_Nemoguard_8b_Topic_ControlParams,
 "nvidia/llama-3.1-nemotron-nano-8b-v1": nvidia.Llama_3_1_Nemotron_Nano_8b_V1Params,
 "nvidia/llama-3.1-nemotron-safety-guard-8b-v3": nvidia.Llama_3_1_Nemotron_Safety_Guard_8b_V3Params,
Expand Down

16 changes: 16 additions & 0 deletions
packages/modelparams-python/src/modelparams/types/nvidia.py

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Original file line numberDiff line numberDiff line change
Expand Up@@ -37,6 +37,21 @@
)
setattr(Gliner_PiiParams, "__pydantic_config__", _PARAMS_CONFIG)

Laguna_Xs_2_1Params = TypedDict(
 "Laguna_Xs_2_1Params",
 {
 "temperature": Annotated[float, Field(ge=0, le=1)],
 "top_p": Annotated[float, Field(le=1)],
 "max_tokens": Annotated[int, Field(ge=1, le=16384)],
 "frequency_penalty": Annotated[float, Field(ge=-2, le=2)],
 "presence_penalty": Annotated[float, Field(ge=-2, le=2)],
 "seed": Annotated[int, Field(ge=0, le=18446744073709552000)],
 "stop": str,
 },
 total=False,
)
setattr(Laguna_Xs_2_1Params, "__pydantic_config__", _PARAMS_CONFIG)

Llama_3_1_Nemoguard_8b_Topic_ControlParams = TypedDict(
 "Llama_3_1_Nemoguard_8b_Topic_ControlParams",
 {
Expand DownExpand Up@@ -242,6 +257,7 @@
__all__ = [
 "Deepseek_V4_Flash_0731Params",
 "Gliner_PiiParams",
 "Laguna_Xs_2_1Params",
 "Llama_3_1_Nemoguard_8b_Topic_ControlParams",
 "Llama_3_1_Nemotron_Nano_8b_V1Params",
 "Llama_3_1_Nemotron_Safety_Guard_8b_V3Params",
Expand Down

87 changes: 87 additions & 0 deletions
packages/modelparams/src/generated/data.ts

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Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -22017,6 +22017,93 @@ const GENERATED_CATALOG = [
 }
 ]
 },
 {
 "provider": "nvidia",
 "authType": "api_key",
 "apiSurface": "openai-chat-completions",
 "model": "laguna-xs-2.1",
 "wireId": "poolside/laguna-xs-2.1",
 "params": [
 {
 "path": "temperature",
 "label": "Temperature",
 "description": "Controls randomness. Lower values make outputs more focused; higher values make them more varied. Not recommended to modify both temperature and top_p in the same call.",
 "group": "sampling",
 "type": "number",
 "default": 0.6,
 "range": {
 "min": 0,
 "max": 1
 }
 },
 {
 "path": "top_p",
 "label": "Top P",
 "description": "Controls nucleus sampling by limiting generation to tokens within the selected cumulative probability. Not recommended to modify both temperature and top_p in the same call.",
 "group": "sampling",
 "type": "number",
 "default": 0.95,
 "range": {
 "max": 1
 }
 },
 {
 "path": "max_tokens",
 "label": "Max tokens",
 "description": "Maximum number of tokens to generate. Generation stops when this limit is reached.",
 "group": "generation_length",
 "type": "integer",
 "default": 4096,
 "range": {
 "min": 1,
 "max": 16384
 }
 },
 {
 "path": "frequency_penalty",
 "label": "Frequency penalty",
 "description": "Penalizes new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.",
 "group": "sampling",
 "type": "number",
 "default": 0,
 "range": {
 "min": -2,
 "max": 2
 }
 },
 {
 "path": "presence_penalty",
 "label": "Presence penalty",
 "description": "Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.",
 "group": "sampling",
 "type": "number",
 "default": 0,
 "range": {
 "min": -2,
 "max": 2
 }
 },
 {
 "path": "seed",
 "label": "Seed",
 "description": "Best-effort deterministic sampling seed. Changing the seed produces a different response with similar characteristics. Fix the seed to reproduce results.",
 "group": "sampling",
 "type": "integer",
 "default": 0,
 "range": {
 "min": 0,
 "max": 18446744073709552000
 }
 },
 {
 "path": "stop",
 "label": "Stop",
 "description": "A string or list of strings where the API will stop generating further tokens. The returned text will not contain the stop sequence.",
 "group": "generation_length",
 "type": "string"
 }
 ]
 },
 {
 "provider": "nvidia",
 "authType": "api_key",
Expand Down

8 changes: 8 additions & 0 deletions
packages/modelparams/src/generated/defaults.ts

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Original file line numberDiff line numberDiff line change
Expand Up@@ -1302,6 +1302,14 @@ export const DEFAULTS = {
 overlap: 128,
 flat_ner: false,
 },
 "nvidia/laguna-xs-2.1": {
 temperature: 0.6,
 top_p: 0.95,
 max_tokens: 4096,
 frequency_penalty: 0,
 presence_penalty: 0,
 seed: 0,
 },
 "nvidia/llama-3.1-nemoguard-8b-topic-control": {
 temperature: 0.5,
 top_p: 1,
Expand Down

1 change: 1 addition & 0 deletions
packages/modelparams/src/generated/model-ids.ts

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Original file line numberDiff line numberDiff line change
Expand Up@@ -269,6 +269,7 @@ export const MODEL_IDS = [
 "moonshot/moonshot-v1-8k",
 "nvidia/deepseek-v4-flash-0731",
 "nvidia/gliner-pii",
 "nvidia/laguna-xs-2.1",
 "nvidia/llama-3.1-nemoguard-8b-topic-control",
 "nvidia/llama-3.1-nemotron-nano-8b-v1",
 "nvidia/llama-3.1-nemotron-safety-guard-8b-v3",
Expand Down

9 changes: 9 additions & 0 deletions
packages/modelparams/src/generated/params-by-id.ts

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Original file line numberDiff line numberDiff line change
Expand Up@@ -2181,6 +2181,15 @@ export type ParamsById = {
 overlap: number;
 flat_ner: boolean;
 };
 "nvidia/laguna-xs-2.1": {
 temperature: number;
 top_p: number;
 max_tokens: number;
 frequency_penalty: number;
 presence_penalty: number;
 seed: number;
 stop: string;
 };
 "nvidia/llama-3.1-nemoguard-8b-topic-control": {
 temperature: number;
 top_p: number;
Expand Down
Loading

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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65 changes: 65 additions & 0 deletions
models/nvidia/laguna-xs-2.1.yaml

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Open in desktop

Original file line numberDiff line numberDiff line change
@@ -0,0 +1,65 @@
# yaml-language-server: $schema=https://modelparams.dev/api/v1/schema.json
provider: nvidia
authType: api_key
apiSurface: openai-chat-completions
model: laguna-xs-2.1
wireId: poolside/laguna-xs-2.1
params:
 - path: temperature
 type: number
 label: Temperature
 description: Controls randomness. Lower values make outputs more focused; higher values make them more varied. Not recommended to modify both temperature and top_p in the same call.
 default: 0.6
 range:
 min: 0
 max: 1
 group: sampling
 - path: top_p
 type: number
 label: Top P
 description: Controls nucleus sampling by limiting generation to tokens within the selected cumulative probability. Not recommended to modify both temperature and top_p in the same call.
 default: 0.95
 range:
 max: 1
 group: sampling
 - path: max_tokens
 type: integer
 label: Max tokens
 description: Maximum number of tokens to generate. Generation stops when this limit is reached.
 default: 4096
 range:
 min: 1
 max: 16384
 group: generation_length
 - path: frequency_penalty
 type: number
 label: Frequency penalty
 description: Penalizes new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.
 default: 0
 range:
 min: -2
 max: 2
 group: sampling
 - path: presence_penalty
 type: number
 label: Presence penalty
 description: Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.
 default: 0
 range:
 min: -2
 max: 2
 group: sampling
 - path: seed
 type: integer
 label: Seed
 description: Best-effort deterministic sampling seed. Changing the seed produces a different response with similar characteristics. Fix the seed to reproduce results.
 default: 0
 range:
 min: 0
 max: 18446744073709552000
 group: sampling
 - path: stop
 type: string
 label: Stop
 description: A string or list of strings where the API will stop generating further tokens. The returned text will not contain the stop sequence.
 group: generation_length

87 changes: 87 additions & 0 deletions
packages/modelparams-python/src/modelparams/_generated/catalog.json

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Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -22012,6 +22012,93 @@
 }
 ]
 },
 {
 "provider": "nvidia",
 "authType": "api_key",
 "apiSurface": "openai-chat-completions",
 "model": "laguna-xs-2.1",
 "wireId": "poolside/laguna-xs-2.1",
 "params": [
 {
 "path": "temperature",
 "label": "Temperature",
 "description": "Controls randomness. Lower values make outputs more focused; higher values make them more varied. Not recommended to modify both temperature and top_p in the same call.",
 "group": "sampling",
 "type": "number",
 "default": 0.6,
 "range": {
 "min": 0,
 "max": 1
 }
 },
 {
 "path": "top_p",
 "label": "Top P",
 "description": "Controls nucleus sampling by limiting generation to tokens within the selected cumulative probability. Not recommended to modify both temperature and top_p in the same call.",
 "group": "sampling",
 "type": "number",
 "default": 0.95,
 "range": {
 "max": 1
 }
 },
 {
 "path": "max_tokens",
 "label": "Max tokens",
 "description": "Maximum number of tokens to generate. Generation stops when this limit is reached.",
 "group": "generation_length",
 "type": "integer",
 "default": 4096,
 "range": {
 "min": 1,
 "max": 16384
 }
 },
 {
 "path": "frequency_penalty",
 "label": "Frequency penalty",
 "description": "Penalizes new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.",
 "group": "sampling",
 "type": "number",
 "default": 0,
 "range": {
 "min": -2,
 "max": 2
 }
 },
 {
 "path": "presence_penalty",
 "label": "Presence penalty",
 "description": "Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.",
 "group": "sampling",
 "type": "number",
 "default": 0,
 "range": {
 "min": -2,
 "max": 2
 }
 },
 {
 "path": "seed",
 "label": "Seed",
 "description": "Best-effort deterministic sampling seed. Changing the seed produces a different response with similar characteristics. Fix the seed to reproduce results.",
 "group": "sampling",
 "type": "integer",
 "default": 0,
 "range": {
 "min": 0,
 "max": 18446744073709552000
 }
 },
 {
 "path": "stop",
 "label": "Stop",
 "description": "A string or list of strings where the API will stop generating further tokens. The returned text will not contain the stop sequence.",
 "group": "generation_length",
 "type": "string"
 }
 ]
 },
 {
 "provider": "nvidia",
 "authType": "api_key",
Expand Down

2 changes: 2 additions & 0 deletions
packages/modelparams-python/src/modelparams/_generated/model_ids.py

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Original file line numberDiff line numberDiff line change
Expand Up@@ -271,6 +271,7 @@
 "moonshot/moonshot-v1-8k",
 "nvidia/deepseek-v4-flash-0731",
 "nvidia/gliner-pii",
 "nvidia/laguna-xs-2.1",
 "nvidia/llama-3.1-nemoguard-8b-topic-control",
 "nvidia/llama-3.1-nemotron-nano-8b-v1",
 "nvidia/llama-3.1-nemotron-safety-guard-8b-v3",
Expand DownExpand Up@@ -674,6 +675,7 @@
 "moonshot/moonshot-v1-8k",
 "nvidia/deepseek-v4-flash-0731",
 "nvidia/gliner-pii",
 "nvidia/laguna-xs-2.1",
 "nvidia/llama-3.1-nemoguard-8b-topic-control",
 "nvidia/llama-3.1-nemotron-nano-8b-v1",
 "nvidia/llama-3.1-nemotron-safety-guard-8b-v3",
Expand Down

1 change: 1 addition & 0 deletions
packages/modelparams-python/src/modelparams/_generated/registry.py

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Original file line numberDiff line numberDiff line change
Expand Up@@ -296,6 +296,7 @@
 "moonshot/moonshot-v1-8k": moonshot.Moonshot_V1_8kParams,
 "nvidia/deepseek-v4-flash-0731": nvidia.Deepseek_V4_Flash_0731Params,
 "nvidia/gliner-pii": nvidia.Gliner_PiiParams,
 "nvidia/laguna-xs-2.1": nvidia.Laguna_Xs_2_1Params,
 "nvidia/llama-3.1-nemoguard-8b-topic-control": nvidia.Llama_3_1_Nemoguard_8b_Topic_ControlParams,
 "nvidia/llama-3.1-nemotron-nano-8b-v1": nvidia.Llama_3_1_Nemotron_Nano_8b_V1Params,
 "nvidia/llama-3.1-nemotron-safety-guard-8b-v3": nvidia.Llama_3_1_Nemotron_Safety_Guard_8b_V3Params,
Expand Down

16 changes: 16 additions & 0 deletions
packages/modelparams-python/src/modelparams/types/nvidia.py

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Original file line numberDiff line numberDiff line change
Expand Up@@ -37,6 +37,21 @@
)
setattr(Gliner_PiiParams, "__pydantic_config__", _PARAMS_CONFIG)

Laguna_Xs_2_1Params = TypedDict(
 "Laguna_Xs_2_1Params",
 {
 "temperature": Annotated[float, Field(ge=0, le=1)],
 "top_p": Annotated[float, Field(le=1)],
 "max_tokens": Annotated[int, Field(ge=1, le=16384)],
 "frequency_penalty": Annotated[float, Field(ge=-2, le=2)],
 "presence_penalty": Annotated[float, Field(ge=-2, le=2)],
 "seed": Annotated[int, Field(ge=0, le=18446744073709552000)],
 "stop": str,
 },
 total=False,
)
setattr(Laguna_Xs_2_1Params, "__pydantic_config__", _PARAMS_CONFIG)

Llama_3_1_Nemoguard_8b_Topic_ControlParams = TypedDict(
 "Llama_3_1_Nemoguard_8b_Topic_ControlParams",
 {
Expand DownExpand Up@@ -242,6 +257,7 @@
__all__ = [
 "Deepseek_V4_Flash_0731Params",
 "Gliner_PiiParams",
 "Laguna_Xs_2_1Params",
 "Llama_3_1_Nemoguard_8b_Topic_ControlParams",
 "Llama_3_1_Nemotron_Nano_8b_V1Params",
 "Llama_3_1_Nemotron_Safety_Guard_8b_V3Params",
Expand Down

87 changes: 87 additions & 0 deletions
packages/modelparams/src/generated/data.ts

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -22017,6 +22017,93 @@ const GENERATED_CATALOG = [
 }
 ]
 },
 {
 "provider": "nvidia",
 "authType": "api_key",
 "apiSurface": "openai-chat-completions",
 "model": "laguna-xs-2.1",
 "wireId": "poolside/laguna-xs-2.1",
 "params": [
 {
 "path": "temperature",
 "label": "Temperature",
 "description": "Controls randomness. Lower values make outputs more focused; higher values make them more varied. Not recommended to modify both temperature and top_p in the same call.",
 "group": "sampling",
 "type": "number",
 "default": 0.6,
 "range": {
 "min": 0,
 "max": 1
 }
 },
 {
 "path": "top_p",
 "label": "Top P",
 "description": "Controls nucleus sampling by limiting generation to tokens within the selected cumulative probability. Not recommended to modify both temperature and top_p in the same call.",
 "group": "sampling",
 "type": "number",
 "default": 0.95,
 "range": {
 "max": 1
 }
 },
 {
 "path": "max_tokens",
 "label": "Max tokens",
 "description": "Maximum number of tokens to generate. Generation stops when this limit is reached.",
 "group": "generation_length",
 "type": "integer",
 "default": 4096,
 "range": {
 "min": 1,
 "max": 16384
 }
 },
 {
 "path": "frequency_penalty",
 "label": "Frequency penalty",
 "description": "Penalizes new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.",
 "group": "sampling",
 "type": "number",
 "default": 0,
 "range": {
 "min": -2,
 "max": 2
 }
 },
 {
 "path": "presence_penalty",
 "label": "Presence penalty",
 "description": "Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.",
 "group": "sampling",
 "type": "number",
 "default": 0,
 "range": {
 "min": -2,
 "max": 2
 }
 },
 {
 "path": "seed",
 "label": "Seed",
 "description": "Best-effort deterministic sampling seed. Changing the seed produces a different response with similar characteristics. Fix the seed to reproduce results.",
 "group": "sampling",
 "type": "integer",
 "default": 0,
 "range": {
 "min": 0,
 "max": 18446744073709552000
 }
 },
 {
 "path": "stop",
 "label": "Stop",
 "description": "A string or list of strings where the API will stop generating further tokens. The returned text will not contain the stop sequence.",
 "group": "generation_length",
 "type": "string"
 }
 ]
 },
 {
 "provider": "nvidia",
 "authType": "api_key",
Expand Down

8 changes: 8 additions & 0 deletions
packages/modelparams/src/generated/defaults.ts

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Original file line numberDiff line numberDiff line change
Expand Up@@ -1302,6 +1302,14 @@ export const DEFAULTS = {
 overlap: 128,
 flat_ner: false,
 },
 "nvidia/laguna-xs-2.1": {
 temperature: 0.6,
 top_p: 0.95,
 max_tokens: 4096,
 frequency_penalty: 0,
 presence_penalty: 0,
 seed: 0,
 },
 "nvidia/llama-3.1-nemoguard-8b-topic-control": {
 temperature: 0.5,
 top_p: 1,
Expand Down

1 change: 1 addition & 0 deletions
packages/modelparams/src/generated/model-ids.ts

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Original file line numberDiff line numberDiff line change
Expand Up@@ -269,6 +269,7 @@ export const MODEL_IDS = [
 "moonshot/moonshot-v1-8k",
 "nvidia/deepseek-v4-flash-0731",
 "nvidia/gliner-pii",
 "nvidia/laguna-xs-2.1",
 "nvidia/llama-3.1-nemoguard-8b-topic-control",
 "nvidia/llama-3.1-nemotron-nano-8b-v1",
 "nvidia/llama-3.1-nemotron-safety-guard-8b-v3",
Expand Down

9 changes: 9 additions & 0 deletions
packages/modelparams/src/generated/params-by-id.ts

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Original file line numberDiff line numberDiff line change
Expand Up@@ -2181,6 +2181,15 @@ export type ParamsById = {
 overlap: number;
 flat_ner: boolean;
 };
 "nvidia/laguna-xs-2.1": {
 temperature: number;
 top_p: number;
 max_tokens: number;
 frequency_penalty: number;
 presence_penalty: number;
 seed: number;
 stop: string;
 };
 "nvidia/llama-3.1-nemoguard-8b-topic-control": {
 temperature: number;
 top_p: number;
Expand Down
Loading