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Bump vllm from 0.5.5 to 0.8.0 - #6

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Bump vllm from 0.5.5 to 0.8.0#6
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Bumps vllm from 0.5.5 to 0.8.0.

Release notes

Sourced from vllm's releases.

v0.8.0 featured 523 commits from 166 total contributors (68 new contributors)!

Highlights

V1

We have now enabled V1 engine by default (#13726) for supported use cases. Please refer to V1 user guide for more detail. We expect better performance for supported scenarios. If you'd like to disable V1 mode, please specify the environment variable VLLM_USE_V1=0, and send us a GitHub issue sharing the reason!

DeepSeek Improvements

We observe state of the art performance with vLLM running DeepSeek model on latest version of vLLM:

  • MLA Enhancements:
  • Distributed Expert Parallelism (EP) and Data Parallelism (DP)
    • EP Support for DeepSeek Models (#12583)
    • Add enable_expert_parallel arg (#14305)
    • EP/TP MoE + DP Attention (#13931)
    • Set up data parallel communication (#13591)
  • MTP: Expand DeepSeek MTP code to support k > n_predict (#13626)
  • Pipeline Parallelism:
    • DeepSeek V2/V3/R1 only place lm_head on last pp rank (#13833)
    • Improve pipeline partitioning (#13839)
  • GEMM
    • Add streamK for block-quantized CUTLASS kernels (#12978)
    • Add benchmark for DeepGEMM and vLLM Block FP8 Dense GEMM (#13917)
    • Add more tuned configs for H20 and others (#14877)

New Models

  • Gemma 3 (#14660)
    • Note: You have to install transformers from main branch (pip install git+https://github.com/huggingface/transformers.git) to use this model. Also, there may be numerical instabilities for float16/half dtype. Please use bfloat16 (preferred by HF) or float32 dtype.
  • Mistral Small 3.1 (#14957)
  • Phi-4-multimodal-instruct (#14119)
  • Grok1 (#13795)
  • QwQ-32B and toll calling (#14479, #14478)
  • Zamba2 (#13185)

... (truncated)

Commits

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Bump vllm from 0.5.5 to 0.8.0
5dc2b48
Bumps [vllm](https://github.com/vllm-project/vllm) from 0.5.5 to 0.8.0.
- [Release notes](https://github.com/vllm-project/vllm/releases)
- [Changelog](https://github.com/vllm-project/vllm/blob/main/RELEASE.md)
- [Commits](vllm-project/vllm@v0.5.5...v0.8.0)
---
updated-dependencies:
- dependency-name: vllm
dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
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Superseded by #8.

@dependabotdependabotBot closed this Apr 23, 2025
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Bump vllm from 0.5.5 to 0.8.0 by dependabot[bot] · Pull Request #6 · scaleapi/plansearch · GitHub
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Bump vllm from 0.5.5 to 0.8.0 - #6
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Bumps vllm from 0.5.5 to 0.8.0.
Release notes
Sourced from vllm's releases.
v0.8.0 featured 523 commits from 166 total contributors (68 new contributors)!
Highlights
V1
We have now enabled V1 engine by default (#13726) for supported use cases. Please refer to V1 user guide for more detail. We expect better performance for supported scenarios. If you'd like to disable V1 mode, please specify the environment variable VLLM_USE_V1=0, and send us a GitHub issue sharing the reason!
DeepSeek Improvements
We observe state of the art performance with vLLM running DeepSeek model on latest version of vLLM:
  • MLA Enhancements:

  • Distributed Expert Parallelism (EP) and Data Parallelism (DP)

    • EP Support for DeepSeek Models (#12583)
    • Add enable_expert_parallel arg (#14305)
    • EP/TP MoE + DP Attention (#13931)
    • Set up data parallel communication (#13591)
  • MTP: Expand DeepSeek MTP code to support k > n_predict (#13626)
  • Pipeline Parallelism:

    • DeepSeek V2/V3/R1 only place lm_head on last pp rank (#13833)
    • Improve pipeline partitioning (#13839)
  • GEMM

    • Add streamK for block-quantized CUTLASS kernels (#12978)
    • Add benchmark for DeepGEMM and vLLM Block FP8 Dense GEMM (#13917)
    • Add more tuned configs for H20 and others (#14877)
New Models
  • Gemma 3 (#14660)

    • Note: You have to install transformers from main branch (pip install git+https://github.com/huggingface/transformers.git) to use this model. Also, there may be numerical instabilities for float16/half dtype. Please use bfloat16 (preferred by HF) or float32 dtype.
  • Mistral Small 3.1 (#14957)
  • Phi-4-multimodal-instruct (#14119)
  • Grok1 (#13795)
  • QwQ-32B and toll calling (#14479, #14478)
  • Zamba2 (#13185)
... (truncated)
Commits

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Bump vllm from 0.5.5 to 0.8.0
5dc2b48
Bumps [vllm](https://github.com/vllm-project/vllm) from 0.5.5 to 0.8.0.
- [Release notes](https://github.com/vllm-project/vllm/releases)
- [Changelog](https://github.com/vllm-project/vllm/blob/main/RELEASE.md)
- [Commits](vllm-project/vllm@v0.5.5...v0.8.0)
---
updated-dependencies:
- dependency-name: vllm
dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
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Bump vllm from 0.5.5 to 0.8.0 by dependabot[bot] · Pull Request #6 · scaleapi/plansearch · GitHub
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Bump vllm from 0.5.5 to 0.8.0 - #6
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Bump vllm from 0.5.5 to 0.8.0#6
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Bumps vllm from 0.5.5 to 0.8.0.
Release notes
Sourced from vllm's releases.
v0.8.0 featured 523 commits from 166 total contributors (68 new contributors)!
Highlights
V1
We have now enabled V1 engine by default (#13726) for supported use cases. Please refer to V1 user guide for more detail. We expect better performance for supported scenarios. If you'd like to disable V1 mode, please specify the environment variable VLLM_USE_V1=0, and send us a GitHub issue sharing the reason!
DeepSeek Improvements
We observe state of the art performance with vLLM running DeepSeek model on latest version of vLLM:
  • MLA Enhancements:

  • Distributed Expert Parallelism (EP) and Data Parallelism (DP)

    • EP Support for DeepSeek Models (#12583)
    • Add enable_expert_parallel arg (#14305)
    • EP/TP MoE + DP Attention (#13931)
    • Set up data parallel communication (#13591)
  • MTP: Expand DeepSeek MTP code to support k > n_predict (#13626)
  • Pipeline Parallelism:

    • DeepSeek V2/V3/R1 only place lm_head on last pp rank (#13833)
    • Improve pipeline partitioning (#13839)
  • GEMM

    • Add streamK for block-quantized CUTLASS kernels (#12978)
    • Add benchmark for DeepGEMM and vLLM Block FP8 Dense GEMM (#13917)
    • Add more tuned configs for H20 and others (#14877)
New Models
  • Gemma 3 (#14660)

    • Note: You have to install transformers from main branch (pip install git+https://github.com/huggingface/transformers.git) to use this model. Also, there may be numerical instabilities for float16/half dtype. Please use bfloat16 (preferred by HF) or float32 dtype.
  • Mistral Small 3.1 (#14957)
  • Phi-4-multimodal-instruct (#14119)
  • Grok1 (#13795)
  • QwQ-32B and toll calling (#14479, #14478)
  • Zamba2 (#13185)
... (truncated)
Commits

Dependabot compatibility score
Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.
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Bump vllm from 0.5.5 to 0.8.0
5dc2b48
Bumps [vllm](https://github.com/vllm-project/vllm) from 0.5.5 to 0.8.0.
- [Release notes](https://github.com/vllm-project/vllm/releases)
- [Changelog](https://github.com/vllm-project/vllm/blob/main/RELEASE.md)
- [Commits](vllm-project/vllm@v0.5.5...v0.8.0)
---
updated-dependencies:
- dependency-name: vllm
dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
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Bump vllm from 0.5.5 to 0.8.0 by dependabot[bot] · Pull Request #6 · scaleapi/plansearch · GitHub
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Bump vllm from 0.5.5 to 0.8.0 - #6
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Bump vllm from 0.5.5 to 0.8.0#6
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Bumps vllm from 0.5.5 to 0.8.0.
Release notes
Sourced from vllm's releases.
v0.8.0 featured 523 commits from 166 total contributors (68 new contributors)!
Highlights
V1
We have now enabled V1 engine by default (#13726) for supported use cases. Please refer to V1 user guide for more detail. We expect better performance for supported scenarios. If you'd like to disable V1 mode, please specify the environment variable VLLM_USE_V1=0, and send us a GitHub issue sharing the reason!
DeepSeek Improvements
We observe state of the art performance with vLLM running DeepSeek model on latest version of vLLM:
  • MLA Enhancements:

  • Distributed Expert Parallelism (EP) and Data Parallelism (DP)

    • EP Support for DeepSeek Models (#12583)
    • Add enable_expert_parallel arg (#14305)
    • EP/TP MoE + DP Attention (#13931)
    • Set up data parallel communication (#13591)
  • MTP: Expand DeepSeek MTP code to support k > n_predict (#13626)
  • Pipeline Parallelism:

    • DeepSeek V2/V3/R1 only place lm_head on last pp rank (#13833)
    • Improve pipeline partitioning (#13839)
  • GEMM

    • Add streamK for block-quantized CUTLASS kernels (#12978)
    • Add benchmark for DeepGEMM and vLLM Block FP8 Dense GEMM (#13917)
    • Add more tuned configs for H20 and others (#14877)
New Models
  • Gemma 3 (#14660)

    • Note: You have to install transformers from main branch (pip install git+https://github.com/huggingface/transformers.git) to use this model. Also, there may be numerical instabilities for float16/half dtype. Please use bfloat16 (preferred by HF) or float32 dtype.
  • Mistral Small 3.1 (#14957)
  • Phi-4-multimodal-instruct (#14119)
  • Grok1 (#13795)
  • QwQ-32B and toll calling (#14479, #14478)
  • Zamba2 (#13185)
... (truncated)
Commits

Dependabot compatibility score
Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.
Dependabot commands and options
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Bump vllm from 0.5.5 to 0.8.0
5dc2b48
Bumps [vllm](https://github.com/vllm-project/vllm) from 0.5.5 to 0.8.0.
- [Release notes](https://github.com/vllm-project/vllm/releases)
- [Changelog](https://github.com/vllm-project/vllm/blob/main/RELEASE.md)
- [Commits](vllm-project/vllm@v0.5.5...v0.8.0)
---
updated-dependencies:
- dependency-name: vllm
dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Strip utm_, fbclid, gclid, etc. from all links on page
(function() {
var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',
'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',
'ref', 'ref_src', 'source', 'medium', 'campaign'];
function cleanUrl(url) {
try {
var u = new URL(url, window.location.origin);
var changed = false;
trackingParams.forEach(function(p) {
if (u.searchParams.has(p)) {
u.searchParams.delete(p);
changed = true;
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});
return changed ? u.toString() : url;
} catch (e) {
return url;
}
}
function cleanLinks() {
document.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
cleanLinks();
var observer = new MutationObserver(function(mutations) {
mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1) {
if (node.tagName === 'A') cleanLinks();
node.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '
Bump vllm from 0.5.5 to 0.8.0 by dependabot[bot] · Pull Request #6 · scaleapi/plansearch · GitHub
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Bump vllm from 0.5.5 to 0.8.0 - #6
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Bumps vllm from 0.5.5 to 0.8.0.
Release notes
Sourced from vllm's releases.
v0.8.0 featured 523 commits from 166 total contributors (68 new contributors)!
Highlights
V1
We have now enabled V1 engine by default (#13726) for supported use cases. Please refer to V1 user guide for more detail. We expect better performance for supported scenarios. If you'd like to disable V1 mode, please specify the environment variable VLLM_USE_V1=0, and send us a GitHub issue sharing the reason!
DeepSeek Improvements
We observe state of the art performance with vLLM running DeepSeek model on latest version of vLLM:
  • MLA Enhancements:

  • Distributed Expert Parallelism (EP) and Data Parallelism (DP)

    • EP Support for DeepSeek Models (#12583)
    • Add enable_expert_parallel arg (#14305)
    • EP/TP MoE + DP Attention (#13931)
    • Set up data parallel communication (#13591)
  • MTP: Expand DeepSeek MTP code to support k > n_predict (#13626)
  • Pipeline Parallelism:

    • DeepSeek V2/V3/R1 only place lm_head on last pp rank (#13833)
    • Improve pipeline partitioning (#13839)
  • GEMM

    • Add streamK for block-quantized CUTLASS kernels (#12978)
    • Add benchmark for DeepGEMM and vLLM Block FP8 Dense GEMM (#13917)
    • Add more tuned configs for H20 and others (#14877)
New Models
  • Gemma 3 (#14660)

    • Note: You have to install transformers from main branch (pip install git+https://github.com/huggingface/transformers.git) to use this model. Also, there may be numerical instabilities for float16/half dtype. Please use bfloat16 (preferred by HF) or float32 dtype.
  • Mistral Small 3.1 (#14957)
  • Phi-4-multimodal-instruct (#14119)
  • Grok1 (#13795)
  • QwQ-32B and toll calling (#14479, #14478)
  • Zamba2 (#13185)
... (truncated)
Commits

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Bump vllm from 0.5.5 to 0.8.0
5dc2b48
Bumps [vllm](https://github.com/vllm-project/vllm) from 0.5.5 to 0.8.0.
- [Release notes](https://github.com/vllm-project/vllm/releases)
- [Changelog](https://github.com/vllm-project/vllm/blob/main/RELEASE.md)
- [Commits](vllm-project/vllm@v0.5.5...v0.8.0)
---
updated-dependencies:
- dependency-name: vllm
dependency-type: direct:production
...
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Auto-enable theater mode on YouTube
(function() {
function tryTheater() {
var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]');
if (btn && !btn.classList.contains('activated')) {
btn.click();
}
}
// Try immediately
tryTheater();
// Try after navigation (SPA)
var lastUrl = location.href;
setInterval(function() {
if (location.href !== lastUrl) {
lastUrl = location.href;
setTimeout(tryTheater, 500);
}
}, 1000);
// Also try on player load
var observer = new MutationObserver(tryTheater);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
Bump vllm from 0.5.5 to 0.8.0 by dependabot[bot] · Pull Request #6 · scaleapi/plansearch · GitHub
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Bump vllm from 0.5.5 to 0.8.0 - #6
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Bumps vllm from 0.5.5 to 0.8.0.
Release notes
Sourced from vllm's releases.
v0.8.0 featured 523 commits from 166 total contributors (68 new contributors)!
Highlights
V1
We have now enabled V1 engine by default (#13726) for supported use cases. Please refer to V1 user guide for more detail. We expect better performance for supported scenarios. If you'd like to disable V1 mode, please specify the environment variable VLLM_USE_V1=0, and send us a GitHub issue sharing the reason!
DeepSeek Improvements
We observe state of the art performance with vLLM running DeepSeek model on latest version of vLLM:
  • MLA Enhancements:

  • Distributed Expert Parallelism (EP) and Data Parallelism (DP)

    • EP Support for DeepSeek Models (#12583)
    • Add enable_expert_parallel arg (#14305)
    • EP/TP MoE + DP Attention (#13931)
    • Set up data parallel communication (#13591)
  • MTP: Expand DeepSeek MTP code to support k > n_predict (#13626)
  • Pipeline Parallelism:

    • DeepSeek V2/V3/R1 only place lm_head on last pp rank (#13833)
    • Improve pipeline partitioning (#13839)
  • GEMM

    • Add streamK for block-quantized CUTLASS kernels (#12978)
    • Add benchmark for DeepGEMM and vLLM Block FP8 Dense GEMM (#13917)
    • Add more tuned configs for H20 and others (#14877)
New Models
  • Gemma 3 (#14660)

    • Note: You have to install transformers from main branch (pip install git+https://github.com/huggingface/transformers.git) to use this model. Also, there may be numerical instabilities for float16/half dtype. Please use bfloat16 (preferred by HF) or float32 dtype.
  • Mistral Small 3.1 (#14957)
  • Phi-4-multimodal-instruct (#14119)
  • Grok1 (#13795)
  • QwQ-32B and toll calling (#14479, #14478)
  • Zamba2 (#13185)
... (truncated)
Commits

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You can disable automated security fix PRs for this repo from the Security Alerts page.
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Bump vllm from 0.5.5 to 0.8.0
5dc2b48
Bumps [vllm](https://github.com/vllm-project/vllm) from 0.5.5 to 0.8.0.
- [Release notes](https://github.com/vllm-project/vllm/releases)
- [Changelog](https://github.com/vllm-project/vllm/blob/main/RELEASE.md)
- [Commits](vllm-project/vllm@v0.5.5...v0.8.0)
---
updated-dependencies:
- dependency-name: vllm
dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Remove or un-stick sticky/fixed headers that block content
(function() {
function unstick() {
document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) {
if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {
el.style.position = 'static';
el.style.top = 'auto';
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var observer = new MutationObserver(unstick);
observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });
})();
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
Bump vllm from 0.5.5 to 0.8.0 by dependabot[bot] · Pull Request #6 · scaleapi/plansearch · GitHub
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Bump vllm from 0.5.5 to 0.8.0 - #6
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Bumps vllm from 0.5.5 to 0.8.0.
Release notes
Sourced from vllm's releases.
v0.8.0 featured 523 commits from 166 total contributors (68 new contributors)!
Highlights
V1
We have now enabled V1 engine by default (#13726) for supported use cases. Please refer to V1 user guide for more detail. We expect better performance for supported scenarios. If you'd like to disable V1 mode, please specify the environment variable VLLM_USE_V1=0, and send us a GitHub issue sharing the reason!
DeepSeek Improvements
We observe state of the art performance with vLLM running DeepSeek model on latest version of vLLM:
  • MLA Enhancements:

  • Distributed Expert Parallelism (EP) and Data Parallelism (DP)

    • EP Support for DeepSeek Models (#12583)
    • Add enable_expert_parallel arg (#14305)
    • EP/TP MoE + DP Attention (#13931)
    • Set up data parallel communication (#13591)
  • MTP: Expand DeepSeek MTP code to support k > n_predict (#13626)
  • Pipeline Parallelism:

    • DeepSeek V2/V3/R1 only place lm_head on last pp rank (#13833)
    • Improve pipeline partitioning (#13839)
  • GEMM

    • Add streamK for block-quantized CUTLASS kernels (#12978)
    • Add benchmark for DeepGEMM and vLLM Block FP8 Dense GEMM (#13917)
    • Add more tuned configs for H20 and others (#14877)
New Models
  • Gemma 3 (#14660)

    • Note: You have to install transformers from main branch (pip install git+https://github.com/huggingface/transformers.git) to use this model. Also, there may be numerical instabilities for float16/half dtype. Please use bfloat16 (preferred by HF) or float32 dtype.
  • Mistral Small 3.1 (#14957)
  • Phi-4-multimodal-instruct (#14119)
  • Grok1 (#13795)
  • QwQ-32B and toll calling (#14479, #14478)
  • Zamba2 (#13185)
... (truncated)
Commits

Dependabot compatibility score
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Bump vllm from 0.5.5 to 0.8.0
5dc2b48
Bumps [vllm](https://github.com/vllm-project/vllm) from 0.5.5 to 0.8.0.
- [Release notes](https://github.com/vllm-project/vllm/releases)
- [Changelog](https://github.com/vllm-project/vllm/blob/main/RELEASE.md)
- [Commits](vllm-project/vllm@v0.5.5...v0.8.0)
---
updated-dependencies:
- dependency-name: vllm
dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Universal Dark Mode - works on any site
(function() {
var enabled = true;
function applyDarkMode() {
if (!enabled) return;
// Create style element if it doesn't exist
var style = document.getElementById('universal-dark-mode-style');
if (!style) {
style = document.createElement('style');
style.id = 'universal-dark-mode-style';
document.head.appendChild(style);
}
// Dark mode CSS - inverts colors but preserves images/video
style.textContent = '
/* Invert everything except media */
html {
filter: invert(1) hue-rotate(180deg) !important;
background: #1a1a2e !important;
}
/* Restore images, videos, iframes, canvas */
img, video, iframe, canvas, svg, picture, [style*="background-image"] {
filter: invert(1) hue-rotate(180deg) !important;
}
/* Preserve specific elements that should not be inverted */
.no-dark-mode, .no-dark-mode *,
[data-theme="light"], [data-theme="light"],
.ace_editor, .ace_editor *,
.CodeMirror, .CodeMirror *,
.monaco-editor, .monaco-editor *,
.markdown-body pre, .markdown-body pre *,
.highlight, .highlight *,
pre code, pre code * {
filter: none !important;
}
/* Fix common UI elements */
.modal, .popup, .dropdown-menu, .tooltip, .popover {
filter: invert(1) hue-rotate(180deg) !important;
background: #2d2d44 !important;
border-color: #444 !important;
}
/* Scrollbars */
::-webkit-scrollbar { background: #1a1a2e !important; }
::-webkit-scrollbar-thumb { background: #444 !important; }
::-webkit-scrollbar-thumb:hover { background: #555 !important; }
/* Selection */
::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
';
}
function removeDarkMode() {
var style = document.getElementById('universal-dark-mode-style');
if (style) style.remove();
}
// Toggle with Alt+Shift+D
document.addEventListener('keydown', function(e) {
if (e.altKey && e.shiftKey && e.key === 'D') {
e.preventDefault();
enabled = !enabled;
if (enabled) {
applyDarkMode();
console.log('[Universal Dark Mode] Enabled');
} else {
removeDarkMode();
console.log('[Universal Dark Mode] Disabled');
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// Apply on load
applyDarkMode();
// Re-apply on dynamic content
var observer = new MutationObserver(function(mutations) {
if (enabled && !document.getElementById('universal-dark-mode-style')) {
applyDarkMode();
}
});
observer.observe(document.head, { childList: true });
console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');
})();
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();
Bump vllm from 0.5.5 to 0.8.0 by dependabot[bot] · Pull Request #6 · scaleapi/plansearch · GitHub
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Bump vllm from 0.5.5 to 0.8.0 - #6
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Bumps vllm from 0.5.5 to 0.8.0.
Release notes
Sourced from vllm's releases.
v0.8.0 featured 523 commits from 166 total contributors (68 new contributors)!
Highlights
V1
We have now enabled V1 engine by default (#13726) for supported use cases. Please refer to V1 user guide for more detail. We expect better performance for supported scenarios. If you'd like to disable V1 mode, please specify the environment variable VLLM_USE_V1=0, and send us a GitHub issue sharing the reason!
DeepSeek Improvements
We observe state of the art performance with vLLM running DeepSeek model on latest version of vLLM:
  • MLA Enhancements:

  • Distributed Expert Parallelism (EP) and Data Parallelism (DP)

    • EP Support for DeepSeek Models (#12583)
    • Add enable_expert_parallel arg (#14305)
    • EP/TP MoE + DP Attention (#13931)
    • Set up data parallel communication (#13591)
  • MTP: Expand DeepSeek MTP code to support k > n_predict (#13626)
  • Pipeline Parallelism:

    • DeepSeek V2/V3/R1 only place lm_head on last pp rank (#13833)
    • Improve pipeline partitioning (#13839)
  • GEMM

    • Add streamK for block-quantized CUTLASS kernels (#12978)
    • Add benchmark for DeepGEMM and vLLM Block FP8 Dense GEMM (#13917)
    • Add more tuned configs for H20 and others (#14877)
New Models
  • Gemma 3 (#14660)

    • Note: You have to install transformers from main branch (pip install git+https://github.com/huggingface/transformers.git) to use this model. Also, there may be numerical instabilities for float16/half dtype. Please use bfloat16 (preferred by HF) or float32 dtype.
  • Mistral Small 3.1 (#14957)
  • Phi-4-multimodal-instruct (#14119)
  • Grok1 (#13795)
  • QwQ-32B and toll calling (#14479, #14478)
  • Zamba2 (#13185)
... (truncated)
Commits

Dependabot compatibility score
Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.
Dependabot commands and options
You can trigger Dependabot actions by commenting on this PR:
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  • @dependabot squash and merge will squash and merge this PR after your CI passes on it
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Bump vllm from 0.5.5 to 0.8.0
5dc2b48
Bumps [vllm](https://github.com/vllm-project/vllm) from 0.5.5 to 0.8.0.
- [Release notes](https://github.com/vllm-project/vllm/releases)
- [Changelog](https://github.com/vllm-project/vllm/blob/main/RELEASE.md)
- [Commits](vllm-project/vllm@v0.5.5...v0.8.0)
---
updated-dependencies:
- dependency-name: vllm
dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
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Superseded by #8.
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