chore(deps): update accelerate requirement from <2,>=1 to >=1.14.0,<2 in /fowoco-knowledge - #67

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chore(deps): update accelerate requirement from <2,>=1 to >=1.14.0,<2 in /fowoco-knowledge#67
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Updates the requirements on accelerate to permit the latest version.

Release notes

Sourced from accelerate's releases.

v1.14.0: AMD ROCm support, FSDP2 hardening

FSDP2 Improvements

This release brings a large batch of FSDP2 fixes and quality-of-life improvements: correct dtype handling on load, sharding of embeddings/norms, QLoRA crash prevention, and a more robust auto-wrap policy.

  • Fsdp2 fully_shard embedding and norm by @​SunMarc in #4015
  • Fix fsdp2 load full state dict dtype mismatch by @​SunMarc in #4021
  • Fix region compilation fsdpv2 by @​SunMarc in #4022
  • [FSDP2] Cast model to uniform dtype before fully_shard to fix mixed-dtype AssertionError by @​roycho96 in #3985
  • [FSDP2] Auto-exclude non-floating frozen Params4bit from fully_shard to prevent QLoRA crash by @​roycho96 in #3987
  • fix(FSDP2): auto-wrap policy ignoring _no_split_modules fallback by @​JohnGiorgi in #3999
  • fix: use key-based matching in fsdp2_load_full_state_dict by @​roycho96 in #3982
  • fix: add missing model_has_params4bit guard to fsdp2_load_full_state_dict call by @​roycho96 in #3981
  • Fix to-fsdp2: drop REMOVED / NOT_YET_IMPLEMENTED FSDP1 keys instead of leaking them by @​lollinng in #4065
  • Prevent double-wrapping models in prepare_model() by @​joshuaswanson in #3977

AMD ROCm support

Accelerate now works end-to-end on AMD ROCm devices. Thanks @​Abdennacer-Badaoui!

Neuron

Further Neuron improvements to reduce recompilation and cover missing device cases.

Quantization & Offloading

We improved offloading support for quantized models, including Torchao, int8, and tied-weight handling.

Data Loading

  • Feat: Support dynamic batch size in BatchSamplerShard with even_batches by @​yuxinyuan in #3969
  • Fix iterable dataset sharding condition when n_shards == num_processes by @​SunMarc in #3958
  • Fix implicit padding in split_between_processes when apply_padding=False and num_samples < num_processes by @​3manifold in #4052

Minor fixes

... (truncated)

Commits
  • beb0672 Release: v1.14.0
  • a5cb37c Fix all tests (#4072)
  • 14d7cdc Support dynamic batch size in BatchSamplerShard with even_batches (#3969)
  • 77eb5cf fix(tracker): guard init_trackers and log against None kwargs (#4026)
  • 379c8e0 fix(security): remediate workflow vulnerability in .github/workflows/build-do...
  • 61e6420 Fix to-fsdp2: actually drop REMOVED / NOT_YET_IMPLEMENTED FSDP1 keys (#4065)
  • b120c1f tests: Gracefully handle missing set_device for mps (#4028)
  • 418015a test: add regression test for no_split_module_classes accepting set type (#4048)
  • 3f1acf8 Bump the actions group with 8 updates (#4068)
  • a2e5292 docs: add aggregate profiler memory example (#4054)
  • Additional commits viewable in compare view

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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Updates the requirements on [accelerate](https://github.com/huggingface/accelerate) to permit the latest version.
- [Release notes](https://github.com/huggingface/accelerate/releases)
- [Commits](huggingface/accelerate@v1.0.0...v1.14.0)
---
updated-dependencies:
- dependency-name: accelerate
dependency-version: 1.14.0
dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
@dependabotdependabotBot added area:knowledge Context Pack·Workflow·공식 출처 관리 priority:P2 일정에 따라 미룰 수 있는 보완 작업 type:chore 유지보수·저장소 설정 작업 labels Aug 24, 2026
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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
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}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
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chore(deps): update accelerate requirement from <2,>=1 to >=1.14.0,<2 in /fowoco-knowledge - #67

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chore(deps): update accelerate requirement from <2,>=1 to >=1.14.0,<2 in /fowoco-knowledge#67
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Updates the requirements on accelerate to permit the latest version.

Release notes

Sourced from accelerate's releases.

v1.14.0: AMD ROCm support, FSDP2 hardening

FSDP2 Improvements

This release brings a large batch of FSDP2 fixes and quality-of-life improvements: correct dtype handling on load, sharding of embeddings/norms, QLoRA crash prevention, and a more robust auto-wrap policy.

  • Fsdp2 fully_shard embedding and norm by @​SunMarc in #4015
  • Fix fsdp2 load full state dict dtype mismatch by @​SunMarc in #4021
  • Fix region compilation fsdpv2 by @​SunMarc in #4022
  • [FSDP2] Cast model to uniform dtype before fully_shard to fix mixed-dtype AssertionError by @​roycho96 in #3985
  • [FSDP2] Auto-exclude non-floating frozen Params4bit from fully_shard to prevent QLoRA crash by @​roycho96 in #3987
  • fix(FSDP2): auto-wrap policy ignoring _no_split_modules fallback by @​JohnGiorgi in #3999
  • fix: use key-based matching in fsdp2_load_full_state_dict by @​roycho96 in #3982
  • fix: add missing model_has_params4bit guard to fsdp2_load_full_state_dict call by @​roycho96 in #3981
  • Fix to-fsdp2: drop REMOVED / NOT_YET_IMPLEMENTED FSDP1 keys instead of leaking them by @​lollinng in #4065
  • Prevent double-wrapping models in prepare_model() by @​joshuaswanson in #3977

AMD ROCm support

Accelerate now works end-to-end on AMD ROCm devices. Thanks @​Abdennacer-Badaoui!

Neuron

Further Neuron improvements to reduce recompilation and cover missing device cases.

Quantization & Offloading

We improved offloading support for quantized models, including Torchao, int8, and tied-weight handling.

Data Loading

  • Feat: Support dynamic batch size in BatchSamplerShard with even_batches by @​yuxinyuan in #3969
  • Fix iterable dataset sharding condition when n_shards == num_processes by @​SunMarc in #3958
  • Fix implicit padding in split_between_processes when apply_padding=False and num_samples < num_processes by @​3manifold in #4052

Minor fixes

... (truncated)

Commits
  • beb0672 Release: v1.14.0
  • a5cb37c Fix all tests (#4072)
  • 14d7cdc Support dynamic batch size in BatchSamplerShard with even_batches (#3969)
  • 77eb5cf fix(tracker): guard init_trackers and log against None kwargs (#4026)
  • 379c8e0 fix(security): remediate workflow vulnerability in .github/workflows/build-do...
  • 61e6420 Fix to-fsdp2: actually drop REMOVED / NOT_YET_IMPLEMENTED FSDP1 keys (#4065)
  • b120c1f tests: Gracefully handle missing set_device for mps (#4028)
  • 418015a test: add regression test for no_split_module_classes accepting set type (#4048)
  • 3f1acf8 Bump the actions group with 8 updates (#4068)
  • a2e5292 docs: add aggregate profiler memory example (#4054)
  • Additional commits viewable in compare view

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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Updates the requirements on [accelerate](https://github.com/huggingface/accelerate) to permit the latest version.
- [Release notes](https://github.com/huggingface/accelerate/releases)
- [Commits](huggingface/accelerate@v1.0.0...v1.14.0)
---
updated-dependencies:
- dependency-name: accelerate
dependency-version: 1.14.0
dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
@dependabotdependabotBot added area:knowledge Context Pack·Workflow·공식 출처 관리 priority:P2 일정에 따라 미룰 수 있는 보완 작업 type:chore 유지보수·저장소 설정 작업 labels Aug 24, 2026
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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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chore(deps): update accelerate requirement from <2,>=1 to >=1.14.0,<2 in /fowoco-knowledge - #67

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chore(deps): update accelerate requirement from <2,>=1 to >=1.14.0,<2 in /fowoco-knowledge#67
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@dependabotdependabotBot commented on behalf of githubAug 24, 2026

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Updates the requirements on accelerate to permit the latest version.

Release notes

Sourced from accelerate's releases.

v1.14.0: AMD ROCm support, FSDP2 hardening

FSDP2 Improvements

This release brings a large batch of FSDP2 fixes and quality-of-life improvements: correct dtype handling on load, sharding of embeddings/norms, QLoRA crash prevention, and a more robust auto-wrap policy.

  • Fsdp2 fully_shard embedding and norm by @​SunMarc in #4015
  • Fix fsdp2 load full state dict dtype mismatch by @​SunMarc in #4021
  • Fix region compilation fsdpv2 by @​SunMarc in #4022
  • [FSDP2] Cast model to uniform dtype before fully_shard to fix mixed-dtype AssertionError by @​roycho96 in #3985
  • [FSDP2] Auto-exclude non-floating frozen Params4bit from fully_shard to prevent QLoRA crash by @​roycho96 in #3987
  • fix(FSDP2): auto-wrap policy ignoring _no_split_modules fallback by @​JohnGiorgi in #3999
  • fix: use key-based matching in fsdp2_load_full_state_dict by @​roycho96 in #3982
  • fix: add missing model_has_params4bit guard to fsdp2_load_full_state_dict call by @​roycho96 in #3981
  • Fix to-fsdp2: drop REMOVED / NOT_YET_IMPLEMENTED FSDP1 keys instead of leaking them by @​lollinng in #4065
  • Prevent double-wrapping models in prepare_model() by @​joshuaswanson in #3977

AMD ROCm support

Accelerate now works end-to-end on AMD ROCm devices. Thanks @​Abdennacer-Badaoui!

Neuron

Further Neuron improvements to reduce recompilation and cover missing device cases.

Quantization & Offloading

We improved offloading support for quantized models, including Torchao, int8, and tied-weight handling.

Data Loading

  • Feat: Support dynamic batch size in BatchSamplerShard with even_batches by @​yuxinyuan in #3969
  • Fix iterable dataset sharding condition when n_shards == num_processes by @​SunMarc in #3958
  • Fix implicit padding in split_between_processes when apply_padding=False and num_samples < num_processes by @​3manifold in #4052

Minor fixes

... (truncated)

Commits
  • beb0672 Release: v1.14.0
  • a5cb37c Fix all tests (#4072)
  • 14d7cdc Support dynamic batch size in BatchSamplerShard with even_batches (#3969)
  • 77eb5cf fix(tracker): guard init_trackers and log against None kwargs (#4026)
  • 379c8e0 fix(security): remediate workflow vulnerability in .github/workflows/build-do...
  • 61e6420 Fix to-fsdp2: actually drop REMOVED / NOT_YET_IMPLEMENTED FSDP1 keys (#4065)
  • b120c1f tests: Gracefully handle missing set_device for mps (#4028)
  • 418015a test: add regression test for no_split_module_classes accepting set type (#4048)
  • 3f1acf8 Bump the actions group with 8 updates (#4068)
  • a2e5292 docs: add aggregate profiler memory example (#4054)
  • Additional commits viewable in compare view

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:

  • @dependabot rebase will rebase this PR
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  • @dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)
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Updates the requirements on [accelerate](https://github.com/huggingface/accelerate) to permit the latest version.
- [Release notes](https://github.com/huggingface/accelerate/releases)
- [Commits](huggingface/accelerate@v1.0.0...v1.14.0)
---
updated-dependencies:
- dependency-name: accelerate
dependency-version: 1.14.0
dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
@dependabotdependabotBot added area:knowledge Context Pack·Workflow·공식 출처 관리 priority:P2 일정에 따라 미룰 수 있는 보완 작업 type:chore 유지보수·저장소 설정 작업 labels Aug 24, 2026
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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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chore(deps): update accelerate requirement from <2,>=1 to >=1.14.0,<2 in /fowoco-knowledge - #67

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chore(deps): update accelerate requirement from <2,>=1 to >=1.14.0,<2 in /fowoco-knowledge#67
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Updates the requirements on accelerate to permit the latest version.

Release notes

Sourced from accelerate's releases.

v1.14.0: AMD ROCm support, FSDP2 hardening

FSDP2 Improvements

This release brings a large batch of FSDP2 fixes and quality-of-life improvements: correct dtype handling on load, sharding of embeddings/norms, QLoRA crash prevention, and a more robust auto-wrap policy.

  • Fsdp2 fully_shard embedding and norm by @​SunMarc in #4015
  • Fix fsdp2 load full state dict dtype mismatch by @​SunMarc in #4021
  • Fix region compilation fsdpv2 by @​SunMarc in #4022
  • [FSDP2] Cast model to uniform dtype before fully_shard to fix mixed-dtype AssertionError by @​roycho96 in #3985
  • [FSDP2] Auto-exclude non-floating frozen Params4bit from fully_shard to prevent QLoRA crash by @​roycho96 in #3987
  • fix(FSDP2): auto-wrap policy ignoring _no_split_modules fallback by @​JohnGiorgi in #3999
  • fix: use key-based matching in fsdp2_load_full_state_dict by @​roycho96 in #3982
  • fix: add missing model_has_params4bit guard to fsdp2_load_full_state_dict call by @​roycho96 in #3981
  • Fix to-fsdp2: drop REMOVED / NOT_YET_IMPLEMENTED FSDP1 keys instead of leaking them by @​lollinng in #4065
  • Prevent double-wrapping models in prepare_model() by @​joshuaswanson in #3977

AMD ROCm support

Accelerate now works end-to-end on AMD ROCm devices. Thanks @​Abdennacer-Badaoui!

Neuron

Further Neuron improvements to reduce recompilation and cover missing device cases.

Quantization & Offloading

We improved offloading support for quantized models, including Torchao, int8, and tied-weight handling.

Data Loading

  • Feat: Support dynamic batch size in BatchSamplerShard with even_batches by @​yuxinyuan in #3969
  • Fix iterable dataset sharding condition when n_shards == num_processes by @​SunMarc in #3958
  • Fix implicit padding in split_between_processes when apply_padding=False and num_samples < num_processes by @​3manifold in #4052

Minor fixes

... (truncated)

Commits
  • beb0672 Release: v1.14.0
  • a5cb37c Fix all tests (#4072)
  • 14d7cdc Support dynamic batch size in BatchSamplerShard with even_batches (#3969)
  • 77eb5cf fix(tracker): guard init_trackers and log against None kwargs (#4026)
  • 379c8e0 fix(security): remediate workflow vulnerability in .github/workflows/build-do...
  • 61e6420 Fix to-fsdp2: actually drop REMOVED / NOT_YET_IMPLEMENTED FSDP1 keys (#4065)
  • b120c1f tests: Gracefully handle missing set_device for mps (#4028)
  • 418015a test: add regression test for no_split_module_classes accepting set type (#4048)
  • 3f1acf8 Bump the actions group with 8 updates (#4068)
  • a2e5292 docs: add aggregate profiler memory example (#4054)
  • Additional commits viewable in compare view

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:

  • @dependabot rebase will rebase this PR
  • @dependabot recreate will recreate this PR, overwriting any edits that have been made to it
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Updates the requirements on [accelerate](https://github.com/huggingface/accelerate) to permit the latest version.
- [Release notes](https://github.com/huggingface/accelerate/releases)
- [Commits](huggingface/accelerate@v1.0.0...v1.14.0)
---
updated-dependencies:
- dependency-name: accelerate
dependency-version: 1.14.0
dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
@dependabotdependabotBot added area:knowledge Context Pack·Workflow·공식 출처 관리 priority:P2 일정에 따라 미룰 수 있는 보완 작업 type:chore 유지보수·저장소 설정 작업 labels Aug 24, 2026
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, '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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chore(deps): update accelerate requirement from <2,>=1 to >=1.14.0,<2 in /fowoco-knowledge - #67

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chore(deps): update accelerate requirement from <2,>=1 to >=1.14.0,<2 in /fowoco-knowledge#67
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Updates the requirements on accelerate to permit the latest version.

Release notes

Sourced from accelerate's releases.

v1.14.0: AMD ROCm support, FSDP2 hardening

FSDP2 Improvements

This release brings a large batch of FSDP2 fixes and quality-of-life improvements: correct dtype handling on load, sharding of embeddings/norms, QLoRA crash prevention, and a more robust auto-wrap policy.

  • Fsdp2 fully_shard embedding and norm by @​SunMarc in #4015
  • Fix fsdp2 load full state dict dtype mismatch by @​SunMarc in #4021
  • Fix region compilation fsdpv2 by @​SunMarc in #4022
  • [FSDP2] Cast model to uniform dtype before fully_shard to fix mixed-dtype AssertionError by @​roycho96 in #3985
  • [FSDP2] Auto-exclude non-floating frozen Params4bit from fully_shard to prevent QLoRA crash by @​roycho96 in #3987
  • fix(FSDP2): auto-wrap policy ignoring _no_split_modules fallback by @​JohnGiorgi in #3999
  • fix: use key-based matching in fsdp2_load_full_state_dict by @​roycho96 in #3982
  • fix: add missing model_has_params4bit guard to fsdp2_load_full_state_dict call by @​roycho96 in #3981
  • Fix to-fsdp2: drop REMOVED / NOT_YET_IMPLEMENTED FSDP1 keys instead of leaking them by @​lollinng in #4065
  • Prevent double-wrapping models in prepare_model() by @​joshuaswanson in #3977

AMD ROCm support

Accelerate now works end-to-end on AMD ROCm devices. Thanks @​Abdennacer-Badaoui!

Neuron

Further Neuron improvements to reduce recompilation and cover missing device cases.

Quantization & Offloading

We improved offloading support for quantized models, including Torchao, int8, and tied-weight handling.

Data Loading

  • Feat: Support dynamic batch size in BatchSamplerShard with even_batches by @​yuxinyuan in #3969
  • Fix iterable dataset sharding condition when n_shards == num_processes by @​SunMarc in #3958
  • Fix implicit padding in split_between_processes when apply_padding=False and num_samples < num_processes by @​3manifold in #4052

Minor fixes

... (truncated)

Commits
  • beb0672 Release: v1.14.0
  • a5cb37c Fix all tests (#4072)
  • 14d7cdc Support dynamic batch size in BatchSamplerShard with even_batches (#3969)
  • 77eb5cf fix(tracker): guard init_trackers and log against None kwargs (#4026)
  • 379c8e0 fix(security): remediate workflow vulnerability in .github/workflows/build-do...
  • 61e6420 Fix to-fsdp2: actually drop REMOVED / NOT_YET_IMPLEMENTED FSDP1 keys (#4065)
  • b120c1f tests: Gracefully handle missing set_device for mps (#4028)
  • 418015a test: add regression test for no_split_module_classes accepting set type (#4048)
  • 3f1acf8 Bump the actions group with 8 updates (#4068)
  • a2e5292 docs: add aggregate profiler memory example (#4054)
  • Additional commits viewable in compare view

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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Updates the requirements on [accelerate](https://github.com/huggingface/accelerate) to permit the latest version.
- [Release notes](https://github.com/huggingface/accelerate/releases)
- [Commits](huggingface/accelerate@v1.0.0...v1.14.0)
---
updated-dependencies:
- dependency-name: accelerate
dependency-version: 1.14.0
dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
@dependabotdependabotBot added area:knowledge Context Pack·Workflow·공식 출처 관리 priority:P2 일정에 따라 미룰 수 있는 보완 작업 type:chore 유지보수·저장소 설정 작업 labels Aug 24, 2026
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, '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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chore(deps): update accelerate requirement from <2,>=1 to >=1.14.0,<2 in /fowoco-knowledge - #67

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chore(deps): update accelerate requirement from <2,>=1 to >=1.14.0,<2 in /fowoco-knowledge#67
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Updates the requirements on accelerate to permit the latest version.

Release notes

Sourced from accelerate's releases.

v1.14.0: AMD ROCm support, FSDP2 hardening

FSDP2 Improvements

This release brings a large batch of FSDP2 fixes and quality-of-life improvements: correct dtype handling on load, sharding of embeddings/norms, QLoRA crash prevention, and a more robust auto-wrap policy.

  • Fsdp2 fully_shard embedding and norm by @​SunMarc in #4015
  • Fix fsdp2 load full state dict dtype mismatch by @​SunMarc in #4021
  • Fix region compilation fsdpv2 by @​SunMarc in #4022
  • [FSDP2] Cast model to uniform dtype before fully_shard to fix mixed-dtype AssertionError by @​roycho96 in #3985
  • [FSDP2] Auto-exclude non-floating frozen Params4bit from fully_shard to prevent QLoRA crash by @​roycho96 in #3987
  • fix(FSDP2): auto-wrap policy ignoring _no_split_modules fallback by @​JohnGiorgi in #3999
  • fix: use key-based matching in fsdp2_load_full_state_dict by @​roycho96 in #3982
  • fix: add missing model_has_params4bit guard to fsdp2_load_full_state_dict call by @​roycho96 in #3981
  • Fix to-fsdp2: drop REMOVED / NOT_YET_IMPLEMENTED FSDP1 keys instead of leaking them by @​lollinng in #4065
  • Prevent double-wrapping models in prepare_model() by @​joshuaswanson in #3977

AMD ROCm support

Accelerate now works end-to-end on AMD ROCm devices. Thanks @​Abdennacer-Badaoui!

Neuron

Further Neuron improvements to reduce recompilation and cover missing device cases.

Quantization & Offloading

We improved offloading support for quantized models, including Torchao, int8, and tied-weight handling.

Data Loading

  • Feat: Support dynamic batch size in BatchSamplerShard with even_batches by @​yuxinyuan in #3969
  • Fix iterable dataset sharding condition when n_shards == num_processes by @​SunMarc in #3958
  • Fix implicit padding in split_between_processes when apply_padding=False and num_samples < num_processes by @​3manifold in #4052

Minor fixes

... (truncated)

Commits
  • beb0672 Release: v1.14.0
  • a5cb37c Fix all tests (#4072)
  • 14d7cdc Support dynamic batch size in BatchSamplerShard with even_batches (#3969)
  • 77eb5cf fix(tracker): guard init_trackers and log against None kwargs (#4026)
  • 379c8e0 fix(security): remediate workflow vulnerability in .github/workflows/build-do...
  • 61e6420 Fix to-fsdp2: actually drop REMOVED / NOT_YET_IMPLEMENTED FSDP1 keys (#4065)
  • b120c1f tests: Gracefully handle missing set_device for mps (#4028)
  • 418015a test: add regression test for no_split_module_classes accepting set type (#4048)
  • 3f1acf8 Bump the actions group with 8 updates (#4068)
  • a2e5292 docs: add aggregate profiler memory example (#4054)
  • Additional commits viewable in compare view

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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You can trigger Dependabot actions by commenting on this PR:

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  • @dependabot show <dependency name> ignore conditions will show all of the ignore conditions of the specified dependency
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Updates the requirements on [accelerate](https://github.com/huggingface/accelerate) to permit the latest version.
- [Release notes](https://github.com/huggingface/accelerate/releases)
- [Commits](huggingface/accelerate@v1.0.0...v1.14.0)
---
updated-dependencies:
- dependency-name: accelerate
dependency-version: 1.14.0
dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
@dependabotdependabotBot added area:knowledge Context Pack·Workflow·공식 출처 관리 priority:P2 일정에 따라 미룰 수 있는 보완 작업 type:chore 유지보수·저장소 설정 작업 labels Aug 24, 2026
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, '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('^' + ".*" + '
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chore(deps): update accelerate requirement from <2,>=1 to >=1.14.0,<2 in /fowoco-knowledge - #67

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chore(deps): update accelerate requirement from <2,>=1 to >=1.14.0,<2 in /fowoco-knowledge#67
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@dependabotdependabotBot commented on behalf of githubAug 24, 2026

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Updates the requirements on accelerate to permit the latest version.

Release notes

Sourced from accelerate's releases.

v1.14.0: AMD ROCm support, FSDP2 hardening

FSDP2 Improvements

This release brings a large batch of FSDP2 fixes and quality-of-life improvements: correct dtype handling on load, sharding of embeddings/norms, QLoRA crash prevention, and a more robust auto-wrap policy.

  • Fsdp2 fully_shard embedding and norm by @​SunMarc in #4015
  • Fix fsdp2 load full state dict dtype mismatch by @​SunMarc in #4021
  • Fix region compilation fsdpv2 by @​SunMarc in #4022
  • [FSDP2] Cast model to uniform dtype before fully_shard to fix mixed-dtype AssertionError by @​roycho96 in #3985
  • [FSDP2] Auto-exclude non-floating frozen Params4bit from fully_shard to prevent QLoRA crash by @​roycho96 in #3987
  • fix(FSDP2): auto-wrap policy ignoring _no_split_modules fallback by @​JohnGiorgi in #3999
  • fix: use key-based matching in fsdp2_load_full_state_dict by @​roycho96 in #3982
  • fix: add missing model_has_params4bit guard to fsdp2_load_full_state_dict call by @​roycho96 in #3981
  • Fix to-fsdp2: drop REMOVED / NOT_YET_IMPLEMENTED FSDP1 keys instead of leaking them by @​lollinng in #4065
  • Prevent double-wrapping models in prepare_model() by @​joshuaswanson in #3977

AMD ROCm support

Accelerate now works end-to-end on AMD ROCm devices. Thanks @​Abdennacer-Badaoui!

Neuron

Further Neuron improvements to reduce recompilation and cover missing device cases.

Quantization & Offloading

We improved offloading support for quantized models, including Torchao, int8, and tied-weight handling.

Data Loading

  • Feat: Support dynamic batch size in BatchSamplerShard with even_batches by @​yuxinyuan in #3969
  • Fix iterable dataset sharding condition when n_shards == num_processes by @​SunMarc in #3958
  • Fix implicit padding in split_between_processes when apply_padding=False and num_samples < num_processes by @​3manifold in #4052

Minor fixes

... (truncated)

Commits
  • beb0672 Release: v1.14.0
  • a5cb37c Fix all tests (#4072)
  • 14d7cdc Support dynamic batch size in BatchSamplerShard with even_batches (#3969)
  • 77eb5cf fix(tracker): guard init_trackers and log against None kwargs (#4026)
  • 379c8e0 fix(security): remediate workflow vulnerability in .github/workflows/build-do...
  • 61e6420 Fix to-fsdp2: actually drop REMOVED / NOT_YET_IMPLEMENTED FSDP1 keys (#4065)
  • b120c1f tests: Gracefully handle missing set_device for mps (#4028)
  • 418015a test: add regression test for no_split_module_classes accepting set type (#4048)
  • 3f1acf8 Bump the actions group with 8 updates (#4068)
  • a2e5292 docs: add aggregate profiler memory example (#4054)
  • Additional commits viewable in compare view

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:

  • @dependabot rebase will rebase this PR
  • @dependabot recreate will recreate this PR, overwriting any edits that have been made to it
  • @dependabot show <dependency name> ignore conditions will show all of the ignore conditions of the specified dependency
  • @dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)
  • @dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)
  • @dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)

Updates the requirements on [accelerate](https://github.com/huggingface/accelerate) to permit the latest version.
- [Release notes](https://github.com/huggingface/accelerate/releases)
- [Commits](huggingface/accelerate@v1.0.0...v1.14.0)
---
updated-dependencies:
- dependency-name: accelerate
dependency-version: 1.14.0
dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
@dependabotdependabotBot added area:knowledge Context Pack·Workflow·공식 출처 관리 priority:P2 일정에 따라 미룰 수 있는 보완 작업 type:chore 유지보수·저장소 설정 작업 labels Aug 24, 2026
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, '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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chore(deps): update accelerate requirement from <2,>=1 to >=1.14.0,<2 in /fowoco-knowledge - #67

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chore(deps): update accelerate requirement from <2,>=1 to >=1.14.0,<2 in /fowoco-knowledge#67
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Updates the requirements on accelerate to permit the latest version.

Release notes

Sourced from accelerate's releases.

v1.14.0: AMD ROCm support, FSDP2 hardening

FSDP2 Improvements

This release brings a large batch of FSDP2 fixes and quality-of-life improvements: correct dtype handling on load, sharding of embeddings/norms, QLoRA crash prevention, and a more robust auto-wrap policy.

  • Fsdp2 fully_shard embedding and norm by @​SunMarc in #4015
  • Fix fsdp2 load full state dict dtype mismatch by @​SunMarc in #4021
  • Fix region compilation fsdpv2 by @​SunMarc in #4022
  • [FSDP2] Cast model to uniform dtype before fully_shard to fix mixed-dtype AssertionError by @​roycho96 in #3985
  • [FSDP2] Auto-exclude non-floating frozen Params4bit from fully_shard to prevent QLoRA crash by @​roycho96 in #3987
  • fix(FSDP2): auto-wrap policy ignoring _no_split_modules fallback by @​JohnGiorgi in #3999
  • fix: use key-based matching in fsdp2_load_full_state_dict by @​roycho96 in #3982
  • fix: add missing model_has_params4bit guard to fsdp2_load_full_state_dict call by @​roycho96 in #3981
  • Fix to-fsdp2: drop REMOVED / NOT_YET_IMPLEMENTED FSDP1 keys instead of leaking them by @​lollinng in #4065
  • Prevent double-wrapping models in prepare_model() by @​joshuaswanson in #3977

AMD ROCm support

Accelerate now works end-to-end on AMD ROCm devices. Thanks @​Abdennacer-Badaoui!

Neuron

Further Neuron improvements to reduce recompilation and cover missing device cases.

Quantization & Offloading

We improved offloading support for quantized models, including Torchao, int8, and tied-weight handling.

Data Loading

  • Feat: Support dynamic batch size in BatchSamplerShard with even_batches by @​yuxinyuan in #3969
  • Fix iterable dataset sharding condition when n_shards == num_processes by @​SunMarc in #3958
  • Fix implicit padding in split_between_processes when apply_padding=False and num_samples < num_processes by @​3manifold in #4052

Minor fixes

... (truncated)

Commits
  • beb0672 Release: v1.14.0
  • a5cb37c Fix all tests (#4072)
  • 14d7cdc Support dynamic batch size in BatchSamplerShard with even_batches (#3969)
  • 77eb5cf fix(tracker): guard init_trackers and log against None kwargs (#4026)
  • 379c8e0 fix(security): remediate workflow vulnerability in .github/workflows/build-do...
  • 61e6420 Fix to-fsdp2: actually drop REMOVED / NOT_YET_IMPLEMENTED FSDP1 keys (#4065)
  • b120c1f tests: Gracefully handle missing set_device for mps (#4028)
  • 418015a test: add regression test for no_split_module_classes accepting set type (#4048)
  • 3f1acf8 Bump the actions group with 8 updates (#4068)
  • a2e5292 docs: add aggregate profiler memory example (#4054)
  • Additional commits viewable in compare view

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Updates the requirements on [accelerate](https://github.com/huggingface/accelerate) to permit the latest version.
- [Release notes](https://github.com/huggingface/accelerate/releases)
- [Commits](huggingface/accelerate@v1.0.0...v1.14.0)
---
updated-dependencies:
- dependency-name: accelerate
dependency-version: 1.14.0
dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
@dependabotdependabotBot added area:knowledge Context Pack·Workflow·공식 출처 관리 priority:P2 일정에 따라 미룰 수 있는 보완 작업 type:chore 유지보수·저장소 설정 작업 labels Aug 24, 2026
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