vllm-project/llm-compressor має індекс здоров’я 84 зі 100, що відповідає смузі «Добрий». Найвищий показник — Vitality (95/100), найнижчий — AI Readiness (46/100). Останнє оновлення — сьогодні. Більшість нещодавньої роботи виконують 5 учасників.
84
загалом / 100
Добрий
Індекс здоров'я програмного забезпечення
Метрики згруповано у зважені категорії на шкалі 1–100. Загальна оцінка починається як їхнє середнє; коли публічні дані активують Політику юрисдикцій високого ризику, рейтинг коригується й отримує верхню межу 49 («Під ризиком»). Готовність до ШІ не входить до індексу.
84
Відмінний85-100Зразковий; відповідає практично всім перевіреним критеріям
Добрий70-84Здоровий; незначні прогалини
Помірний50-69Прийнятний, але з помітними прогалинами; рекомендовано перевірку
У зоні ризику30-49Суттєві слабкі місця; впровадження потребує обережності
Критичний1-29Серйозні проблеми (покинутий, єдиний мейнтейнер, без базової гігієни)
Профіль оцінок
Кожна вісь — окрема категорія. Форма важить більше, ніж середнє: здоровий об'єкт заповнює всю фігуру, тоді як профіль із піками та провалами означає, що сила в одному вимірі маскує ризик в іншому.
Прямі залежності без відомих сповіщень — уражено 2: pillow 12.2.0 (critical 9.1), torch 2.12.0 (moderate 5.3)
25/25
Непрямі залежності без відомих сповіщень — жодна непряма залежність не має відомих сповіщень
35.3/40
Немає задавнених сповіщень — 1 пакет(ів) зі сповіщеннями без реакції понад 90 дн.; найдавніше опубліковано 480 дн. тому
Використані вхідні дані
source
osv
advisories
27
affected_packages
2
assessed_packages
59
unassessed_packages
0
affected_by_severity
critical 1, moderate 1
direct_affected_packages
2
Звірено з runtime-замиканням залежностей pypi:llmcompressor@0.12.0 — тим, що тягне за собою встановлення опублікованого пакета, — 59 пакетів. Досяжність не аналізується.
Наскільки репозиторій оснащений для розробки та супроводу за участі ШІ-агентів? Незалежний, експериментальний бейдж — вага 0.0, тож він подається окремо і не впливає на загальний індекс здоров'я.
Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
Докладніше
Історія зірок і форків 0 ★ / 586 ⇿
0Зірки
586Форки
27Релізи
Коли додано кожну зірку й форк — зібрано з GitHub і згруповано за днями. Кумулятивне зростання розміщено просто над денними додаваннями, з яких воно складається, тож їх видно одне проти одного: рівномірне органічне накопичення виглядає зовсім інакше, ніж різкий короткочасний сплеск. Там, де цю різницю можна виміряти, її подано як автентичність росту.
Мажорні 0Мінорні 12Патчі 6
Кожна точка охоплює 2 днів.
OpenSSF Scorecard 5.9 / 10
5.9сукупно
Незалежна, не прив'язана до інструментів оцінка безпеки від відкритого проєкту OpenSSF Scorecard. Кожна перевірка винагороджує практику безпеки, а не інструмент конкретного постачальника. Перевірки, які Scorecard не зміг визначити, позначено н/д і виключено з оцінки безпеки (вони ніколи не зараховуються як нуль).Scorecard v5.5.0 · 2026-07-25 06:48 UTC
Повний розв'язаний набір залежностей із графа залежностей GitHub: 0 прямих і 1 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.
Реєстр
Пакет
Версія
Зв'язок
PyPI
setuptools-scm
8.2.0
непряма
Сповіщення про залежності 2
Встановлення pypi:llmcompressor@0.12.0 тягне 59 пакетів, прямих і транзитивних: 2 мають відомі сповіщення, з них 2 — прямі залежності.
Пакет
Версія
Зв'язок
Критичність
Сповіщень
Виправлено в
pillow
12.2.0
пряма
критична
26
12.3.0
torch
2.12.0
пряма
помірна
1
2.13.0
Сповіщення означає, що версія, записана в графі залежностей, потрапляє в уражений діапазон. Досяжність не аналізується, а граф містить піниї розробки й тестування — знахідка може стосуватися інструментів, а не поставленого коду.
Звіт у форматі JSON машиночитний
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"recent_commits": [
{
"oid": "e5eb138215726a8d00da0b308c036f77eee674f9",
"body": "## Add to Key Models\n* Add DSV4, GLM5.2, HY_V3 to key models docs\n\n## Readme\n* Fix alignment of logo and name\n\n### Before: \n<img width=\"353\" height=\"114\" alt=\"Screenshot 2026-07-24 at 10 16 31\"\nsrc=\"https://github.com/user-attachments/assets/c6556770-76e0-478b-b12a-15469aef0566\"\n/>\n\n### Now: \n<img w\n[…]\nizing models for deployment with vLLM,\nincluding:\"\n\n* Add notes about low bit quantization and reap\n\n## Bugfix\n\n* Fix bug in glm5.2 example\n\n---------\n\nSigned-off-by: Kyle Sayers <kylesayrs@gmail.com>",
"is_bot": false,
"headline": "[Docs] Add DSV4, GLM5.2, HY_V3 to key models, Update README (#2967)",
"author_name": "Kyle Sayers",
"author_login": "kylesayrs",
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"oid": "c4fa85b8ae38498981a85e31fbdcd067fc00f4e4",
"body": "## Prerequisites ##\n### Accelerate/ Transformers ###\n- [x] https://github.com/huggingface/accelerate/pull/4083\n- [x] https://github.com/huggingface/transformers/pull/46749\n- [x] https://github.com/huggingface/transformers/pull/46849\n- [x] https://github.com/huggingface/transformers/pull/47018\n - [x\n[…]\n====\nHello my name is Inigo Montoya. You killed my father. Prepare to die<｜end▁of▁sentence｜>\n==========================================\n```\n\n---------\n\nSigned-off-by: Kyle Sayers <kylesayrs@gmail.com>",
"is_bot": false,
"headline": "[DSV4] DeepSeekV4 Pro (#2858)",
"author_name": "Kyle Sayers",
"author_login": "kylesayrs",
"committed_at": "2026-07-24T16:17:07Z",
"body_truncated": true,
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"oid": "8716438365b0b8a6169dd0251743887b02ac7d4b",
"body": "…862) (#2912)\n\n## Summary\n\nFixes #2862 - two failures when running GPTQ on GLM-5.2 (`glm_moe_dsa`):\n\n- **OOM with default targets**: whole `GlmMoeDsaDecoderLayer` is one\nsubgraph holding all 128+ experts → all Hessians on GPU simultaneously.\n- **fx-trace failure with `[\"Linear\"]`**: forces tracer in\n[…]\narpujar@gmail.com>\nCo-authored-by: Kyle Sayers <kylesayrs@gmail.com>\nCo-authored-by: Brian Dellabetta <brian-dellabetta@users.noreply.github.com>\nCo-authored-by: Brian Dellabetta <bdellabe@redhat.com>",
"is_bot": false,
"headline": "fix(glm_moe_dsa): correct sequential_targets for GPTQ calibration (#2…",
"author_name": "Jayakumar Pujar",
"author_login": "jayakumarpujar",
"committed_at": "2026-07-24T15:53:11Z",
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"body": "SUMMARY:\n\nUpdate failing test with a monkey-patched smoke test model with fp_quant\nmethod\n```\n| Root Cause | Jobs Affected | Type |\n| - | - | - |\n| `test_oneshot_rejects_pre_quantized_smoke_model` fails with `RuntimeError` instead of expected `ValueError` when loading `google/gemma-4-E2B-it-qat-mobi\n[…]\nwdc-k8s-h100-solo, Python 3.10) | Code Regression (PR #2909) |\n```\n\n\nTEST PLAN:\ntest succeeds on any hardware/transformers version now\n\n---------\n\nSigned-off-by: Brian Dellabetta <bdellabe@redhat.com>",
"is_bot": false,
"headline": "[testfix] update small quant model for test (#2968)",
"author_name": "Brian Dellabetta",
"author_login": "brian-dellabetta",
"committed_at": "2026-07-24T15:33:50Z",
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"oid": "3f8f2e10a78a4050eefc021da62ed994a34e7952",
"body": "SUMMARY:\n- Update what's new section\n- Fix some inconsistencies \n- Update docs homepage with latest release notes\n\nSigned-off-by: Dipika <dipikasikka1@gmail.com>",
"is_bot": false,
"headline": "[Docs] Update what's new; fix some docs (#2964)",
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"body_truncated": false,
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"body": "SUMMARY:\n- Fix existing links\n- Add governance docs",
"is_bot": false,
"headline": "[Docs] Add governance guidelines and fix links (#2963)",
"author_name": "Dipika Sikka",
"author_login": "dsikka",
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"body_truncated": false,
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"oid": "dc318481793116f2e60add1517a6df721751ee6a",
"body": "With some more details and relevant points",
"is_bot": false,
"headline": "Update `CONTRIBUTING` doc (#2962)",
"author_name": "Dipika Sikka",
"author_login": "dsikka",
"committed_at": "2026-07-24T14:24:56Z",
"body_truncated": false,
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"oid": "26bb828b23c3242fd0f5dff35393ca31fb0da161",
"body": "SUMMARY:\nAdded NanbeigeForCausalLM to the AWQ static mapping registry. Nanbeige's\ndecoder layout uses input_layernorm, q/k/v/o attention projections,\npost_attention_layernorm, and gate/up/down MLP projections, which\nmatches the default AWQ mapping pattern. So this PR simply adds the\nmapping explicit\n[…]\ns/llmcompressor/modifiers/transform/awq/test_dynamic_mappings.py\n- pytest\ntests/llmcompressor/modifiers/transform/awq/test_dynamic_mappings.py\n\nCo-authored-by: f-baig <f-baig@users.noreply.github.com>",
"is_bot": false,
"headline": "Add Nanbeige AWQ mappings (#2966)",
"author_name": "frhnbaig",
"author_login": "f-baig",
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"body_truncated": true,
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"oid": "e531e9296bb7bf673100d27d1b05be809713db4e",
"body": "PREREQUISITES:\n\n* https://github.com/vllm-project/compressed-tensors/pull/779\n\nSUMMARY:\n- Fixes #2907 by adding an early `oneshot` validation step for models\nthat already carry quantization metadata.\n- Uses `compressed_tensors.utils.getattr_chain` inline in the `Oneshot`\ninitialization path, avoidin\n[…]\nly.github.com>\nSigned-off-by: Brian Dellabetta <bdellabe@redhat.com>\nCo-authored-by: Brian Dellabetta <brian-dellabetta@users.noreply.github.com>\nCo-authored-by: Brian Dellabetta <bdellabe@redhat.com>",
"is_bot": false,
"headline": "[Oneshot] validate for pre-quantized models as inputs (#2909)",
"author_name": "w3lld1",
"author_login": "w3lld1",
"committed_at": "2026-07-23T20:18:01Z",
"body_truncated": true,
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{
"oid": "5094ca72c1ee28777e7dd4c49f6303e31d981344",
"body": "…tistics (#2829)\n\n## Purpose ##\n* Add warnings for when/if calibration goes wrong\n\n## Changes ##\n* Warn user when they attempt to use an observer to calibrate a module\nwithout having first observed statistics. Because the sequential and\nbasic pipelines always try to calibrate all modules in the mode\n[…]\n triggered when\n`moe_calibration_context` is not used on moe models\n\n---------\n\nSigned-off-by: Kyle Sayers <kylesayrs@gmail.com>\nCo-authored-by: HDCharles <39544797+HDCharles@users.noreply.github.com>",
"is_bot": false,
"headline": "Add warning for attempting to calibrate modules which do not have sta…",
"author_name": "Kyle Sayers",
"author_login": "kylesayrs",
"committed_at": "2026-07-23T19:44:43Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "9e953aaba129a3406f0cfc26a0b2e253ade67233",
"body": "## Purpose ##\n* Support GLM5.2\n\n## Prerequisites ##\n### Accelerate/ Transformers ###\n- [x] https://github.com/huggingface/accelerate/pull/4083\n- [x] https://github.com/huggingface/transformers/pull/46749\n- [x] https://github.com/huggingface/transformers/pull/46849\n- [x] https://github.com/huggingfac\n[…]\n#\n- [x] https://github.com/vllm-project/vllm/pull/47780\n\n## Testing ##\n* Used to quantize https://huggingface.co/RedHatAI/GLM-5.2-FP8-NVFP4\n\n---------\n\nSigned-off-by: Kyle Sayers <kylesayrs@gmail.com>",
"is_bot": false,
"headline": "[Example] GLM5.2 Example (#2869)",
"author_name": "Kyle Sayers",
"author_login": "kylesayrs",
"committed_at": "2026-07-23T19:26:05Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "7fd9a08a6a8f05d608bf3eb9224a3b9e56063773",
"body": "…ore fetch (#2813)\n\nfixes #2790 \n\ni was able to narrow it down to indeed the pin_memory causing the CUDA\nOOM issue. this is a specially case since its nested with the\ndispatcher.\n\n\nthe script im using to benchmark speed timings\n\n```python\n\n\"\"\"\nRecipe: W4A16 GPTQ (4-bit weights, 16-bit activations)\nS\n[…]\nauthored-by: Brian Dellabetta <brian-dellabetta@users.noreply.github.com>\nCo-authored-by: Brian Dellabetta <bdellabe@redhat.com>\nCo-authored-by: HDCharles <39544797+HDCharles@users.noreply.github.com>",
"is_bot": false,
"headline": "[IntermediatesCache] Move call to pin_memory from offload to just bef…",
"author_name": "JINO ROHIT",
"author_login": "JINO-ROHIT",
"committed_at": "2026-07-23T14:19:39Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "bf87c4dea725e7662e1d2a9e3637c5861bf93b5f",
"body": "* Better vlm support\n* Better mtp handling\n* Better uploading outside of rh team\n* Better initialization\n* Better saving\n\n---------\n\nSigned-off-by: Kyle Sayers <kylesayrs@gmail.com>",
"is_bot": false,
"headline": "[Claude] `create-tiny-model` Improvements (#2942)",
"author_name": "Kyle Sayers",
"author_login": "kylesayrs",
"committed_at": "2026-07-23T05:13:16Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "42a1b830839b44f8c77d5d558baed5a3806efd04",
"body": "## Purpose ##\n* Support `HY_V3` model\n\n## Prerequisites ##\n### Transformers ###\n- [ ] https://github.com/huggingface/transformers/pull/47336\n\n## Testing ##\n* Used to generate https://huggingface.co/RedHatAI/Hy3-NVFP4-FP8\n\n---------\n\nSigned-off-by: Kyle Sayers <kylesayrs@gmail.com>",
"is_bot": false,
"headline": "[Example] [MoE] HY_V3 (#2928)",
"author_name": "Kyle Sayers",
"author_login": "kylesayrs",
"committed_at": "2026-07-22T23:35:01Z",
"body_truncated": false,
"is_coding_agent": false
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{
"oid": "655b83d1240c37920a603b747bbfb6c218f66383",
"body": "Summary:\n\nin https://github.com/vllm-project/llm-compressor/pull/2865 we made it\nso obs clean up their stats to improve memory footprint during\nquantization. However certain modifiers weren't deleting statistics on\nDDP because of the job assignment, deletion was happening on\nobs.get_qparams which on\n[…]\nser\",\"status\":\"404\"}>\nCo-authored-by: HDCharles <{\"message\":\"Not Found\",\"documentation_url\":\"https://docs.github.com/rest/users/emails#list-email-addresses-for-the-authenticated-user\",\"status\":\"404\"}>",
"is_bot": false,
"headline": "fix DDP obs stat deletion (#2943)",
"author_name": "HDCharles",
"author_login": "HDCharles",
"committed_at": "2026-07-21T14:37:35Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "878d1c1724da51fb38cc570387406df1ccffc0a1",
"body": "## Purpose ##\n* Reduce shard size for better network transfer\n* https://huggingface.co/RedHatAI/GLM-5.2-NVFP4/discussions/1\n\nCo-authored-by: Claude Opus 4.6 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Reduce default save shard size to 20GB (#2927)",
"author_name": "Kyle Sayers",
"author_login": "kylesayrs",
"committed_at": "2026-07-20T06:12:18Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "c7fe59170b50e80f5707496aa43f1f34668a4cec",
"body": "## Purpose ##\n* Make `create-tiny-model` more robust and efficient by fixing common\npitfalls\n\n## Changes ##\n* Transformers often does a bad job of implementing\n`model.init_weights()` and other weight initialization logic. This trips\nup the model basically every time\n * Add a step to initialize weig\n[…]\n <kylesayrs@gmail.com>\nCo-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>\nCo-authored-by: Brian Dellabetta <brian-dellabetta@users.noreply.github.com>",
"is_bot": false,
"headline": "[Claude] Improve common issues with `create-tiny-model` skill (#2924)",
"author_name": "Kyle Sayers",
"author_login": "kylesayrs",
"committed_at": "2026-07-17T16:26:44Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "e9f9aefe11c143db9c339bf8b76208cd812ca2e1",
"body": "SUMMARY:\nFix the AutoRound DDP rank-local placement regression from #2844.\n\n- keep AutoRound-managed multi-GPU offload disabled for normal\n1-GPU-per-rank DDP\n- use the current rank device when deriving the AutoRound device map\n- rebuild quantize-block inputs after moving cached tensors to the\nselect\n[…]\nessor/modifiers/autoround/test_base.py \n- pytest\ntests/llmcompressor/transformers/compression/test_compression_ddp.py -k\ntest_ddp_smoke_autoround\n\n---------\n\nSigned-off-by: yiliu30 <yi4.liu@intel.com>",
"is_bot": false,
"headline": "[Autoround][DDP] Fix rank-local device placement (#2934)",
"author_name": "Yi Liu",
"author_login": "yiliu30",
"committed_at": "2026-07-16T16:49:52Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "03226aefa596fdf6a4996be0b09627bab980dfe0",
"body": "… (#2917)\n\n## Summary\n\n`TextGenerationDataset.tokenize()` calls the processor with\n`truncation=True` and `max_length` for calibration. Since\n**transformers>=4.51** this per-call truncation (and padding) is\n**persisted onto the fast tokenizer's backend**, and then serialized\ninto `tokenizer.json` whe\n[…]\ne-svg <263951916+chiptoe-svg@users.noreply.github.com>\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\nCo-authored-by: Brian Dellabetta <brian-dellabetta@users.noreply.github.com>",
"is_bot": false,
"headline": "Preserve tokenizer truncation/padding across calibration tokenization…",
"author_name": "chiptoe-svg",
"author_login": "chiptoe-svg",
"committed_at": "2026-07-16T16:15:19Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "7faa859a51633010fea461d351a74fa25ef44526",
"body": "SUMMARY:\n\n- ~~Depends on\nhttps://github.com/vllm-project/compressed-tensors/pull/742~~\n- Depends on https://github.com/vllm-project/llm-compressor/pull/2896\n```bash\n \n# vllm ({'pretrained': 'Yi30/Qwen3-235B-A22B-Instruct-2507-W4A16-AutoRound-iters100-nsamples256-DDP2', 'tensor_parallel_size': 4, 'm\n[…]\n |0.0065|\n# | | |strict-match | 5|exact_match|↑ |0.957|± |0.0064|\n```\n\nTEST PLAN:\n\"please outline how the changes were tested\"\n\n---------\n\nSigned-off-by: yiliu30 <yi4.liu@intel.com>",
"is_bot": false,
"headline": "[Autoround][DDP] Add Qwen MoE Example (#2844)",
"author_name": "Yi Liu",
"author_login": "yiliu30",
"committed_at": "2026-07-15T17:36:07Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "48b2260612c555528fce8c859272607fe4bc61e4",
"body": "`GlmMoeDsaForCausalLM` (GLM-5.x, DSV3.2 / DeepSeek-Sparse-Attention) is\na mixed dense/MoE MLA model but was registered to `_deepseek_mappings`,\nwhose MLP balance list includes `mlp.gate`. The leading dense layers\n(`first_k_dense_replace`) have no router, so on those layers that\npattern never matches\n[…]\nline and ran\nthe tests above.\n\n---------\n\nSigned-off-by: Karthik Kothuri <karthikkothuri2009@gmail.com>\nCo-authored-by: Claude <noreply@anthropic.com>\nCo-authored-by: Kyle Sayers <kylesayrs@gmail.com>",
"is_bot": false,
"headline": "[AWQ] Fix GlmMoeDsa dense+MoE mapping collapse (#2923)",
"author_name": "Karthik Kothuri",
"author_login": "KKothuri",
"committed_at": "2026-07-14T16:48:16Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "637338d08286e140f3a2e3db833ead61d71f0c3c",
"body": "…-Next AWQ (#2681)\n\n## Summary\n\nFixes #2680 - `<think>` leakage and missing `</think>` after AWQ\nquantization of Qwen3-Next thinking models.\n\n**Root cause:** `apply_chat_template` in `qwen3_next_example.py` was\ncalled without `enable_thinking=False`. Qwen3-Next thinking tokenizers\ndefault to `enable\n[…]\n799@gmail.com>\nSigned-off-by: Brian Dellabetta <bdellabe@redhat.com>\nCo-authored-by: Brian Dellabetta <bdellabe@redhat.com>\nCo-authored-by: Brian Dellabetta <brian-dellabetta@users.noreply.github.com>",
"is_bot": false,
"headline": "fix: add enable_thinking flag and reasoning dataset example for Qwen3…",
"author_name": "Jayakumar Pujar",
"author_login": "jayakumarpujar",
"committed_at": "2026-07-13T17:29:57Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "57ed2be4b9169f07c8ee065757158bd66b0925a6",
"body": "Summary:\nto fix a memory \"leak\" we have to delete statistics, this is a bit\ncomplicated due to fusion. There's now enough functionality specific to\nfusion that we should boil it into a separate object to that observer\ncan be a bit simpler.\n\nadded fusion_handler\nadded functionality to delete statisti\n[…]\ndisabled.</sup>\n\n<!-- codesmith:autofix:disabled -->\n<!-- /codesmith:footer -->\n\n---------\n\nSigned-off-by: HDCharles <charlesdavidhernandez@gmail.com>\nCo-authored-by: Kyle Sayers <kylesayrs@gmail.com>",
"is_bot": false,
"headline": "observer fusion and deletion (#2865)",
"author_name": "HDCharles",
"author_login": "HDCharles",
"committed_at": "2026-07-10T20:31:28Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "74dff970deb0f1de0ef3ee6e8de0883397029103",
"body": "SUMMARY:\n\"please provide a brief summary\"\n\n- https://huggingface.co/Yi30/Qwen3-8B-AttnW2A16-MlpW4A16-G128-AutoRound\n- https://huggingface.co/Yi30/Qwen3-8B-AttnW4A16-MlpW2A16-G128-AutoRound\n\n```bash\n# vllm ({'pretrained': '/storage/yiliu7/Qwen3-8B-AttnW2A16-MlpW4A16-G128-AutoRound', 'tensor_parallel_\n[…]\n<yi4.liu@intel.com>\nCo-authored-by: Kyle Sayers <kylesayrs@gmail.com>\nCo-authored-by: Dipika Sikka <dipikasikka1@gmail.com>\nCo-authored-by: Brian Dellabetta <brian-dellabetta@users.noreply.github.com>",
"is_bot": false,
"headline": "[Autoround] Add support for sub-bit quantization with examples (#2895)",
"author_name": "Yi Liu",
"author_login": "yiliu30",
"committed_at": "2026-07-10T15:05:25Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "c8676edd2f6cddd0be2427f034825ca0d476fa72",
"body": "Signed-off-by: yiliu30 <yi4.liu@intel.com>\n\nSUMMARY:\n\"please provide a brief summary\"\n\n\nTEST PLAN:\n\"please outline how the changes were tested\"\n\n---------\n\nSigned-off-by: yiliu30 <yi4.liu@intel.com>\nSigned-off-by: Kyle Sayers <kylesayrs@gmail.com>\nCo-authored-by: Brian Dellabetta <brian-dellabetta@users.noreply.github.com>\nCo-authored-by: Kyle Sayers <kylesayrs@gmail.com>",
"is_bot": false,
"headline": "Pin auto-round to 0.14.1 (#2896)",
"author_name": "Yi Liu",
"author_login": "yiliu30",
"committed_at": "2026-07-09T16:50:03Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "3fd8f98938dd2a13e3e23b3398b84c5509dfccc5",
"body": "## Summary\n\nAdds SpinQuant support for `Cohere2MoeForCausalLM` (e.g.\n`CohereLabs/North-Mini-Code-1.0`), along with an end-to-end NVFP4\nexample.\n\n## Changes\n\n- **`modeling/moe/cohere2_moe.py`** —\n`prepare_cohere2_moe_for_spinquant`, an architecture-specific prep\nfunction. Because Cohere2MoE uses a **\n[…]\nt to the nvfp4 cutlass backend.\n\n---------\n\nSigned-off-by: ZewenShen-Cohere <zewen.shen@cohere.com>\nCo-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>",
"is_bot": false,
"headline": "Add SpinQuant support for Cohere2MoE (#2867)",
"author_name": "ZewenShen-Cohere",
"author_login": "ZewenShen-Cohere",
"committed_at": "2026-07-09T15:23:02Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "f312622841f49c0aa178791e4440bc85f7e954f9",
"body": "The check ready label check is no longer needed, as a PR cannot be\nmerged unless buildkite runs.\n\nNote, the test still runs on this PR because the GHA is a\n`pull_request_target`, meaning that the workflow triggers from the base\n(main), where the action still exists\n\nSigned-off-by: Kyle Sayers <kylesayrs@gmail.com>\nCo-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>\nCo-authored-by: CodeRabbit <noreply@coderabbit.ai>",
"is_bot": false,
"headline": "[GHA] Remove `ready-label-check.yaml` (#2900)",
"author_name": "Kyle Sayers",
"author_login": "kylesayrs",
"committed_at": "2026-07-09T10:08:57Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "7ae0f67c8b475528d4bf750861d43a022661b867",
"body": "SUMMARY:\n- Stop using internal runners\n\nSigned-off-by: Dipika <dipikasikka1@gmail.com>",
"is_bot": false,
"headline": "[Runners] Update runners to all be ubuntu-latest (#2901)",
"author_name": "Dipika Sikka",
"author_login": "dsikka",
"committed_at": "2026-07-08T22:43:03Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "5a6957b084751c2170187ee8d67b9e792b42c6bb",
"body": "## Summary\n- Expand CODEOWNERS to cover previously unlisted directories\n(`modifiers/`, `transformers/`, `pipelines/`, and corresponding `tests/`\nsubdirectories)\n- Rebalance ownership across maintainers for existing entries\n\n## Test plan\n- N/A (metadata-only change)",
"is_bot": false,
"headline": "Update CODEOWNERS (#2899)",
"author_name": "Dipika Sikka",
"author_login": "dsikka",
"committed_at": "2026-07-08T20:38:32Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "634c947f208193bcfaacbf1bcbc5b49644d7e3fa",
"body": "…ifier` (#2889)\n\nSUMMARY:\n- Consolidate shared logic for model handling for NVFP4 and FP8 into a\nshared filed\n- Add logic to handle NVFP4 for the QuantizationModifier and\nGPTQModifier\n\n---------\n\nCo-authored-by: Dipika Sikka <dsikka@dgx-b200-02.mgmt.accl-001.lab.rdu2.dc.redhat.com>",
"is_bot": false,
"headline": "[Agents] Add NVFP4 skills for the `QuantizationModifier` and `GPTQMod…",
"author_name": "Dipika Sikka",
"author_login": "dsikka",
"committed_at": "2026-07-08T10:43:55Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "887df66b11958da8ee285d01d554c1801dd9dccc",
"body": "Signed-off-by: Kyle Sayers <kylesayrs@gmail.com>\nSigned-off-by: Dipika Sikka <ds3822@columbia.edu>\nCo-authored-by: Dipika Sikka <dipikasikka1@gmail.com>\nCo-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>",
"is_bot": false,
"headline": "[Readme] GLM5.2 What's New (#2898)",
"author_name": "Kyle Sayers",
"author_login": "kylesayrs",
"committed_at": "2026-07-07T20:37:19Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "80a1e4a42a990ebc59793b116163e8e0744e86fb",
"body": "SUMMARY:\nAdds \\`GraniteForCausalLM\\` (IBM Granite dense decoder) to both the AWQ\nand SmoothQuant layer-mapping registries. Maps to the existing\n\\`default_mappings\\` (AWQ) / \\`DEFAULT_SMOOTHQUANT_MAPPINGS\\`\n(SmoothQuant), since the architecture uses standard Llama-style layer\nnaming: \\`input_layernor\n[…]\nAULT_SMOOTHQUANT_MAPPINGS, #\nsmoothquant/utils.py\n\\`\\`\\`\n\n---------\n\nSigned-off-by: HumphreySun98 <humphreysun98@gmail.com>\nCo-authored-by: Brian Dellabetta <brian-dellabetta@users.noreply.github.com>",
"is_bot": false,
"headline": "Add GraniteForCausalLM mappings for AWQ and SmoothQuant (#2797)",
"author_name": "Humphrey",
"author_login": "HumphreySun98",
"committed_at": "2026-07-07T19:51:02Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "8aa00ac50e5b0c4a780ec81fdac3fcdeaa67cad4",
"body": "## Purpose ##\n* Fix bad calibration dataset processing for internvl3\n * Use an actual vision dataset to calibrate\n* Add example generation for this example\n* Use NVFP4\n\n## Changes ##\n* Fix dataset processing\n* Previously, `example[\"messages\"]` was being stringified (even though\nit's a list of dicts\n[…]\nurrounded by various items, including a computer monitor, a toy, and other desk accessories.\n==========================================\n```\n\n---------\n\nSigned-off-by: Kyle Sayers <kylesayrs@gmail.com>",
"is_bot": false,
"headline": "[Examples] [Bugfix] Fix data processing for InternVL3 (#2892)",
"author_name": "Kyle Sayers",
"author_login": "kylesayrs",
"committed_at": "2026-07-07T18:46:14Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "e3b60d3455d637f2584ca7a9f7b7ee851a797ef2",
"body": "…cate lm_head (#2835)\n\n## Summary\n\nQuantizing a **tied** model's embedding is currently counterproductive.\nWhen embeddings are targeted, `QuantizationMixin.start_calibration`\nunties them (existing upstream behavior) so the input and output\nembeddings can be quantized independently — but for a tied m\n[…]\nre reviewed by the submitter.\n\n---------\n\nSigned-off-by: Karthik Kothuri <karthikkothuri2009@gmail.com>\nCo-authored-by: Kyle Sayers <kylesayrs@gmail.com>\nCo-authored-by: Claude <noreply@anthropic.com>",
"is_bot": false,
"headline": "Re-tie identically-quantized input/output embeddings to avoid a dupli…",
"author_name": "Karthik Kothuri",
"author_login": "KKothuri",
"committed_at": "2026-07-07T18:41:35Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "abcbeb417f20d3092c939dcc419d3a61714a6789",
"body": "## Summary\n\nMigrate GPU test workflows (`test-check.yaml` and\n`test-check-transformers.yaml`) from GitHub Actions to Buildkite using\nthe dispatcher pattern, and remove the original GHA workflows.\n\n- **Base tests**: Python 3.10/3.13 matrix\n- **Transformers tests**: Python 3.12, per-file pytest loop, \n[…]\n `tests/`\nchanged\n- [x] Manual build with `code-coverage: true` — coverage artifacts\nuploaded and combined\n- [x] GHA GPU workflows removed\n\n---------\n\nSigned-off-by: Deepak Kumar <deepakku@redhat.com>",
"is_bot": false,
"headline": "Add Buildkite pipeline to migrate GPU test workflows from GHA (#2876)",
"author_name": "Deepak Kumar",
"author_login": "deepak-kumar-neu",
"committed_at": "2026-07-07T17:39:42Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "0a27159e6e180af8f631426db08650f19adb9e32",
"body": "## Summary\n- Remove redundant `torch.no_grad()` context manager from\n`examples/disk_offloading/deepseek_v32_example.py`\n- Remove unused `import torch` that was only needed for `torch.no_grad`\n\n## Test plan\n- [ ] Verify the example script still runs correctly without\n`torch.no_grad`\n\n🤖 Generated with\n[…]\nBrian Dellabetta <brian-dellabetta@users.noreply.github.com>\nCo-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>\nCo-authored-by: CodeRabbit <noreply@coderabbit.ai>",
"is_bot": false,
"headline": "Remove unnecessary torch.no_grad from deepseek_v32 example (#2731)",
"author_name": "Kyle Sayers",
"author_login": "kylesayrs",
"committed_at": "2026-07-07T16:18:31Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "5f04e6e4aa09bfab624742869eab5af3a9bcc2bf",
"body": "## Summary\n- Replace legacy `Optional[Dict[...]]` typing with Python 3.10\n`dict[...] | None`\n- Remove now-unused `typing` imports from the sparsification utility\n\n## Tests\n- `python -m ruff check --no-cache src tests examples setup.py`\n- `python -m ruff format --check --no-cache src tests examples s\n[…]\nruns)\n\nSigned-off-by: Pruthvi226 <pruthvirajpanduga22@gmail.com>\nCo-authored-by: Pruthvi226 <pruthvirajpanduga22@gmail.com>\nCo-authored-by: Brian Dellabetta <brian-dellabetta@users.noreply.github.com>",
"is_bot": false,
"headline": "Modernize ModuleSparsificationInfo typing (#2870)",
"author_name": "Panduga Pruthvi Raj",
"author_login": "Pruthvi226",
"committed_at": "2026-07-07T15:58:33Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "dd55d139fee09dce90ba7aa99d8ab4201d7e231f",
"body": "## Summary\n- Replace `Optional[X]` with `X | None` in `events/event.py` and\n`session_functions.py`\n- Remove now-unused `Optional` imports from `typing`\n- Fix import block ordering to satisfy ruff's isort check\n\n## Problem\nThe `core/` module still has legacy `Optional[...]` type hint syntax\nfrom Pyth\n[…]\n@gmail.com>\nCo-authored-by: OpenClaw Agent <agent@openclaw.local>\nCo-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>\nCo-authored-by: Brian Dellabetta <brian-dellabetta@users.noreply.github.com>",
"is_bot": false,
"headline": "refactor: modernize core/ module with Python 3.10+ type hints (#2834)",
"author_name": "Asad Shahid",
"author_login": "AsadShahid04",
"committed_at": "2026-07-07T15:40:35Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "c7903296cff735482e13229ff136d391246822c8",
"body": "## Purpose\n\n`untie_word_embeddings` does not actually untie the input/output\nembeddings when the model is offloaded with `compressed_tensors`\n(`OffloadCache`). The two embeddings keep sharing the same storage, so\nat save time `save_pretrained` de-duplicates them and silently drops\n`lm_head.weight`.\n\n[…]\nu'), 853154880)\noutput embedding storage: (device(type='cpu'), 853171328)\nOK: embeddings are untied (separate storage)\n```\n\nCo-authored-by: Brian Dellabetta <brian-dellabetta@users.noreply.github.com>",
"is_bot": false,
"headline": "Fix untie_word_embeddings not untying offloaded models (#2866)",
"author_name": "ZewenShen-Cohere",
"author_login": "ZewenShen-Cohere",
"committed_at": "2026-07-07T15:31:03Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "d0a53511a6198bbb755bc241e748b06660b4183f",
"body": "…#2890)\n\n## Purpose ##\n* Skip `test_linearize_moe` if model is not supported by local\ntransformers version\n* Skip `test_load_quantizable_moe` if model is not supported by local\ntransformers version\n* Reduce memory usage for `deepseek_v4`\n\n## Testing ##\n* Tested that all tests pass, with 3 skipped wh\n[…]\n [100%]\n====================================== 31 passed, 3 skipped, 14 warnings in 1.79s ======================================\n```\n\n---------\n\nSigned-off-by: Kyle Sayers <kylesayrs@gmail.com>",
"is_bot": false,
"headline": "[Tests] [Bugfix] Skip MoE tests for models which cannot be imported (…",
"author_name": "Kyle Sayers",
"author_login": "kylesayrs",
"committed_at": "2026-07-07T15:02:33Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "44f862a58177aecfaa17d42f955ddf1f632f0910",
"body": "SUMMARY:\n\nAdapt the Kimi K2 example for GLM 4.6\n\n\nTEST PLAN:\n\n```\npython glm_4.6_fp8_block.py \n2026-02-10T17:33:24.378844+0000 | model_free_ptq | INFO - Copying .gitattributes GLM-4.6-FP8-BLOCK/.gitattributes\n2026-02-10T17:33:24.379164+0000 | model_free_ptq | INFO - Copying README.md GLM-4.6-FP8-BLO\n[…]\nded to: https://huggingface.co/mgoin/GLM-4.6-FP8-BLOCK\n\nSigned-off-by: mgoin <mgoin64@gmail.com>\nCo-authored-by: Dipika Sikka <dipikasikka1@gmail.com>\nCo-authored-by: Kyle Sayers <kylesayrs@gmail.com>",
"is_bot": false,
"headline": "Add model_free_ptq example for glm 4.6 block fp8 (#2343)",
"author_name": "Michael Goin",
"author_login": "mgoin",
"committed_at": "2026-07-06T17:55:28Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "8cce3befe29f07e005456359ca488fdd3a94bbab",
"body": "## Purpose ##\n* Ensure that code in LLM Compressor is compliant with the\n`torch.accelerator` api, which is superior to `torch.cuda` due to it\nbeing compatible with the XPU interface\n\n## Example ##\n```\n$ make quality\nRunning python quality checks\nruff check src tests examples setup.py;\nAll checks pas\n[…]\n setup.py; \npython tools/lint_cuda.py src tests examples setup.py --fix\nFixed 1 issue(s) in examples/autoround/ddp/ddp_qwen3_example.py\n```\n\n---------\n\nSigned-off-by: Kyle Sayers <kylesayrs@gmail.com>",
"is_bot": false,
"headline": "[XPU] Add `torch.cuda` linter (#2776)",
"author_name": "Kyle Sayers",
"author_login": "kylesayrs",
"committed_at": "2026-07-06T17:52:09Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "4c1a328855026b00dde8009b34d222393470fe8c",
"body": "…rom yaml (#2822)\n\n## Purpose ##\n* Remove deprecation warnings which are triggered when using a recipe\nfrom yaml\n\n## Changes ##\n* Instead of importing packages and then filtering (which leads to\ndeprecated packages being imported), instead filter packages then import\n\n## Testing ##\n* No more deprecation warnings in tests for modifiers\n\n---------\n\nSigned-off-by: Kyle Sayers <kylesayrs@gmail.com>",
"is_bot": false,
"headline": "Remove deprecation warnings which are triggered when using a recipe f…",
"author_name": "Kyle Sayers",
"author_login": "kylesayrs",
"committed_at": "2026-07-06T17:51:23Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "6846bae790250937853c29113f6bf2ec406f8e2f",
"body": "## Purpose ##\n* Support optimal loading for a larger variety of MoEs, including those\nfrom transformers\n[v5.13.0](https://github.com/huggingface/transformers/releases/tag/v5.13.0)\n* Expand testing for a larger variety of MoEs\n* Move to an MoE import pattern which supports backwards compatibility &\ns\n[…]\nd mappings\n\n## Testing ##\n* Passes CI (which uses older transformers version)\n* Passes locally with newer (unreleased) transformers version\n\n---------\n\nSigned-off-by: Kyle Sayers <kylesayrs@gmail.com>",
"is_bot": false,
"headline": "[MoE] Support more MoE model architectures (#2847)",
"author_name": "Kyle Sayers",
"author_login": "kylesayrs",
"committed_at": "2026-07-06T16:50:41Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "2e7456ae9362b6a7d14b3e9889dcdb5c2930759d",
"body": "Reflects https://github.com/vllm-project/compressed-tensors/pull/702\n\nSigned-off-by: Kyle Sayers <kylesayrs@gmail.com>",
"is_bot": false,
"headline": "[Docs] Update W8A16 docs (#2700)",
"author_name": "Kyle Sayers",
"author_login": "kylesayrs",
"committed_at": "2026-07-03T16:56:46Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "973c9c539a84dd9efaf74e115ede5ca419704c18",
"body": "## Purpose ##\n* Reduce the verbosity and excess usage of coderabbit\n * Save free-tier usage for more important uses\n * Avoid clogging PR discussions\n\n## Changes ##\n* Turn off automatic summaries\n * @fynnsu and others have indicated that these are not useful\n * You can still trigger these manuall\n[…]\nat features.\n\n<!-- end of auto-generated comment: release notes by coderabbit.ai -->\n\n---------\n\nSigned-off-by: Kyle Sayers <kylesayrs@gmail.com>\nCo-authored-by: Fynn Schmitt-Ulms <fynnsu@outlook.com>",
"is_bot": false,
"headline": "[Agents] Configure coderabbit (#2809)",
"author_name": "Kyle Sayers",
"author_login": "kylesayrs",
"committed_at": "2026-07-01T22:40:09Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "c9e4b5dce0d674755e42582f3d4f1d9a28f3a1d4",
"body": "## Background ##\nAs of #2498, reindexing is no longer required\n\nSigned-off-by: Kyle Sayers <kylesayrs@gmail.com>\nCo-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>\nCo-authored-by: CodeRabbit <noreply@coderabbit.ai>",
"is_bot": false,
"headline": "[model_free_ptq] Deprecate `reindex_fused_weights` (#2737)",
"author_name": "Kyle Sayers",
"author_login": "kylesayrs",
"committed_at": "2026-07-01T22:20:13Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "49e51709818b4437a1eeaccd39096402c34680ef",
"body": "SUMMARY:\n\"Migrate all torch.cuda.* call sites in src/ to the unified\ntorch.accelerator API.\"\n\n\nRef PR:\nhttps://github.com/vllm-project/llm-compressor/pull/2611\n\n---------\n\nSigned-off-by: Suluner <suluner2011@gmail.com>",
"is_bot": false,
"headline": "Replace torch.cuda with torch.accelerator in main code path. (#2884)",
"author_name": "Ting Hu",
"author_login": "suluner",
"committed_at": "2026-07-01T16:09:41Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "e48fec881f1394b18fa56969d555c79b9278be8e",
"body": "…ified defaults (#2875)\n\n## What this PR does\n\nAdds a Claude Code skill (`/fp8`) that generates a working FP8\nquantization example script for any HuggingFace model and saves a\ncompressed-tensors checkpoint. When a user asks to quantize a model to\nFP8, the skill gathers the necessary inputs, selects \n[…]\n.com/claude-code)\n\n---------\n\nSigned-off-by: Dipika Sikka <ds3822@columbia.edu>\nCo-authored-by: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>\nCo-authored-by: Kyle Sayers <kylesayrs@gmail.com>",
"is_bot": false,
"headline": "[Agents] Update fp8 skill with MoE/VLM architecture guidance and clar…",
"author_name": "Dipika Sikka",
"author_login": "dsikka",
"committed_at": "2026-07-01T00:08:26Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "86f4cf1a9ca933bf52d830a4ac34a2e21fd13848",
"body": "## Purpose ##\n* Add a tool for creating tiny, finetuned test models which have the\nsame model architecture as their parents, but with fewer parameters\n\n## Usage ##\n\n```\n/create-tiny-model Qwen/Qwen3-30B-A3B\n```\n\n## Steps to creating a tiny model ##\n\nWhen this skill is invoked, the following steps wi\n[…]\naude will attempt to use `huggingface-cli`, despite being explicitly\ntold to use `hf`\n\n---------\n\nSigned-off-by: Kyle Sayers <kylesayrs@gmail.com>\nCo-authored-by: Dipika Sikka <dipikasikka1@gmail.com>",
"is_bot": false,
"headline": "[Claude] `create-tiny-model` skill for creating tiny test models (#2753)",
"author_name": "Kyle Sayers",
"author_login": "kylesayrs",
"committed_at": "2026-06-30T19:42:47Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "da6e4c2a9dc10908e5fcac89a8ec851dbd7fe80a",
"body": "SUMMARY:\n\nAdded a note in the project README \"What's New\" section about the new\nREAPPruningModifier\n\n---------\n\nSigned-off-by: Ryan Fernandes <ryan@fernandes.us>",
"is_bot": false,
"headline": "REAP added to What's New in README (#2881)",
"author_name": "Ryan Fernandes",
"author_login": "Ryfernandes",
"committed_at": "2026-06-30T16:57:52Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "82d697a6c9e65ea036fba42af81546cf7013cd4a",
"body": "# REAP Expert Pruning for MoE Models\n\nThis PR implements REAP (Router-weighted Expert Activation Pruning) for\nstructurally compressing Mixture of Experts (MoE) models.\n\n## Overview\n\nREAP reduces the VRAM footprint of MoE models by structurally removing\nindividual experts in their MoE layers based on\n[…]\n.noreply.github.com>\nSigned-off-by: Ryan Fernandes <ryan@fernandes.us>\nCo-authored-by: Eldar Kurtic <8884008+eldarkurtic@users.noreply.github.com>\nCo-authored-by: Dipika Sikka <dipikasikka1@gmail.com>",
"is_bot": false,
"headline": "REAP Pruning Modifier (#2864)",
"author_name": "Ryan Fernandes",
"author_login": "Ryfernandes",
"committed_at": "2026-06-30T15:44:46Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "930e5b8d0948c3734c2aa1dfd4165bc6045187c5",
"body": "… saving (#2868)\n\n## Purpose ##\n* Support saving models which take more than 10 minutes to save\n* Longer save times can be exacerbated by very large models and disk/cpu\noffloading\n\n## Changes ##\n* Add `suspend_distributed_timeout`\n\n## Testing ##\n* Add `test_suspend_distributed_timeout`\n* Now able to save models which take +20min to save\n\n---------\n\nSigned-off-by: Kyle Sayers <kylesayrs@gmail.com>",
"is_bot": false,
"headline": "[Distributed] Add `suspend_distributed_timeout` to enable large model…",
"author_name": "Kyle Sayers",
"author_login": "kylesayrs",
"committed_at": "2026-06-29T01:19:37Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "e3a4ac1fdfbaf5803052352abe9c834d3965ca42",
"body": "## Summary\n- Add `Qwen2_5_VLForConditionalGeneration` to the AWQ mapping registry\nwith `default_mappings`\n- Add four models to the SmoothQuant registry that were already present\nin AWQ: `Qwen2_5_VLForConditionalGeneration`,\n`Qwen2_5OmniThinkerForConditionalGeneration`, `SeedOssForCausalLM`,\n`Ernie4_\n[…]\n@gmail.com>\nCo-authored-by: OpenClaw Agent <agent@openclaw.local>\nCo-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>\nCo-authored-by: Brian Dellabetta <brian-dellabetta@users.noreply.github.com>",
"is_bot": false,
"headline": "fix: add missing model mappings for AWQ and SmoothQuant (#2727)",
"author_name": "Asad Shahid",
"author_login": "AsadShahid04",
"committed_at": "2026-06-26T21:53:23Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "3707778241acf08eeb2f6aee7f4f50b02b2b45ca",
"body": "## Summary\n1) I noticed that even when DDP and single gpu models were exactly the\nsame, inference was giving different results because they were\ndispatched differently (auto offload vs on-device) aligning this makes\nthings a ton more consistent.\n2) made all the tests do activation calibration otherw\n[…]\non_ddp.py\n\n🤖 Generated with [Claude Code](https://claude.com/claude-code)\n\n---------\n\nSigned-off-by: HDCharles <charlesdavidhernandez@gmail.com>\nCo-authored-by: Claude Opus 4.6 <noreply@anthropic.com>",
"is_bot": false,
"headline": "fix: DDP smoke test improvements and device_map mismatch fix (#2863)",
"author_name": "HDCharles",
"author_login": "HDCharles",
"committed_at": "2026-06-25T14:10:33Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "0dcfa37fd77f31707ba09da98f5c283c2d2c95e4",
"body": "## Summary\nthis sparsity stuff makes gptq data dependent and to my knowledge its\ncompletely unused\n\n## Test plan\n- [x] `pytest tests/llmcompressor/modifiers/gptq/ -v` — 53 passed, 1\nskipped\n\n🤖 Generated with [Claude Code](https://claude.com/claude-code)\n\n---------\n\nSigned-off-by: HDCharles <charlesdavidhernandez@gmail.com>\nCo-authored-by: Claude Opus 4.6 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Remove sparsity-preserving logic from GPTQ quantization (#2860)",
"author_name": "HDCharles",
"author_login": "HDCharles",
"committed_at": "2026-06-24T18:30:08Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "31f223bd8aedc99e15920f488b196849b0c60198",
"body": "Summary\nBoth ranks are trying to clean up the temp dirs causing a race condition\n\nfail:\n\nhttps://github.com/neuralmagic/llm-compressor-testing/actions/runs/27996125653/job/82858691361\n\n\nTEST PLAN:\n\nhttps://github.com/neuralmagic/llm-compressor-testing/actions/runs/28053514637\n\n(no race conditions)\n\n---------\n\nSigned-off-by: HDCharles <charlesdavidhernandez@gmail.com>\nCo-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "fix ddp smoke race conditions (#2857)",
"author_name": "HDCharles",
"author_login": "HDCharles",
"committed_at": "2026-06-24T15:00:15Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "99df48a08dff500145776abb490ea0ee9d36fe17",
"body": "- Fix FP8 Examples link in docs\n\nSigned-off-by: Dipika Sikka <dipikasikka1@gmail.com>",
"is_bot": false,
"headline": "Update link to FP8 quantization documentation (#2854)",
"author_name": "Dipika Sikka",
"author_login": "dsikka",
"committed_at": "2026-06-24T13:23:55Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "c8975b8f13879e79a52c0af184958b3ffd5f7d2c",
"body": "…2855)\n\n## Summary\nwhen we [updated the\nlifecycle](https://github.com/vllm-project/llm-compressor/pull/2784)\nautoround was broken because apply autoround expects a decoder_layer\nspecifically and we added a filter to only pass the quantized linear\nlayers instead (like all the other modifiers) removin\n[…]\nests/llmcompressor/modifiers/autoround/test_base.py`\n\nPR made with claude\n\n---------\n\nSigned-off-by: HDCharles <charlesdavidhernandez@gmail.com>\nCo-authored-by: Claude Opus 4.6 <noreply@anthropic.com>",
"is_bot": false,
"headline": "fix: remove is_module_quantized filter that made AutoRound a no-op (#…",
"author_name": "HDCharles",
"author_login": "HDCharles",
"committed_at": "2026-06-23T20:39:18Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "5bebc2baf4e97d3e0b7922139d7d0f899c87f250",
"body": "SUMMARY:\n\"Add Mellum2 FP8 and NVFP4 Example\"\n\n---------\n\nCo-authored-by: Kyle Sayers <kylesayrs@gmail.com>",
"is_bot": false,
"headline": "Add Mellum2 Example (#2832)",
"author_name": "Krishna Teja Chitty-Venkata",
"author_login": "krishnateja95",
"committed_at": "2026-06-22T20:48:51Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "5c30810b5fb08277338584841040acc6f1f0f027",
"body": "…(#2785)\n\n## Purpose ##\n* Accelerate distributed calibration for `QuantizationModifier` by\nperforming weight calibration in parallel\n* The speedups from this change are minor: runtime is typically\ndominated by activation calibration, not weight calibration\n\n## Changes ##\n* Implement weight-parallel \n[…]\n- | - |\n| 1 | 8.69m | 14m |\n| 2 | 7.72m | 15m |\n| 3 | 8.09m | 16m |\n\nNon-linear speedups are due to fixed costs associated with calibration\n\n---------\n\nSigned-off-by: Kyle Sayers <kylesayrs@gmail.com>",
"is_bot": false,
"headline": "[Distributed] Module parallel calibration for `QuantizationModifier` …",
"author_name": "Kyle Sayers",
"author_login": "kylesayrs",
"committed_at": "2026-06-22T20:43:47Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "e5d1ef1c44f2a2e2827c3aa5c9bc6cc443039571",
"body": "…types, e.g. diffusion_gemma) (#2845)\n\n## Summary\n\nBump the **release** upper bound on `transformers` from `<=5.10.1` to\n`<=5.12.1`.\n\nThe current release pin (`setup.py`) caps\n`transformers>=5.9.0,<=5.10.1`. That upper bound predates several recent\nHuggingFace model types — notably **`diffusion_gemm\n[…]\nr a different ceiling (or dropping the upper bound\nentirely, as some ecosystems do), happy to adjust.\n\nSigned-off-by: Jetha Chan <jethachan@gmail.com>\nCo-authored-by: Kyle Sayers <kylesayrs@gmail.com>",
"is_bot": false,
"headline": "Bump tested transformers upper bound to 5.12.1 (unblocks newer model …",
"author_name": "Jetha Chan",
"author_login": "jethac",
"committed_at": "2026-06-22T19:46:43Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "e72d639a3a743b215d0e3d9c5360c116e0fb1f35",
"body": "- Closes: https://github.com/vllm-project/llm-compressor/issues/2386\n\n## SUMMARY:\n- Add mappings for\nhttps://huggingface.co/stepfun-ai/Step-3.5-Flash/blob/main/modeling_step3p5.py\n- Add example script (untested) in `step3p5_example.py`\n\nThanks so much!\n\n## Architecture Notes\nStep-3.5-Flash:\n- **GQA \n[…]\nompressor/modifiers/transform/awq/test_dynamic_mappings.py`\n\n---------\n\nSigned-off-by: wanadzhar913 <adzhar.faiq@gmail.com>\nCo-authored-by: Brian Dellabetta <brian-dellabetta@users.noreply.github.com>",
"is_bot": false,
"headline": "Add AWQ model mappings for Step3p5 (#2770)",
"author_name": "Faiq Adzlan",
"author_login": "wanadzhar913",
"committed_at": "2026-06-22T18:24:07Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "ae83fdd1e6131390d540f2c1ece869073de71496",
"body": "…bjects (#2839)\n\n## Summary\n- Widen the `recipe` parameter type on `oneshot()` from `str | list[str]\n| None` to `RecipeInput | None`\n- Update docstring to reflect accepted input types\n\n`RecipeArguments.recipe` is left as `str | None` since\n`HfArgumentParser` needs primitive types.\n\nFixes #2837\n\n----\n[…]\nned-off-by: Sawyer Bowerman <sbowerma@redhat.com>\nCo-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>\nCo-authored-by: Kyle Sayers <kylesayrs@gmail.com>",
"is_bot": false,
"headline": "fix: widen oneshot() recipe type hint to accept Modifier and Recipe o…",
"author_name": "Sawyer Bowerman",
"author_login": "soyr-redhat",
"committed_at": "2026-06-22T18:01:51Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "e92fe38c98d73a32fbdf22d0e5ce34b4fd986468",
"body": "Signed-off-by: Kyle Sayers <kylesayrs@gmail.com>",
"is_bot": false,
"headline": "[Bugfix] [MoE] Fix qwen3 loading (#2848)",
"author_name": "Kyle Sayers",
"author_login": "kylesayrs",
"committed_at": "2026-06-22T17:54:12Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "4017b8f4788aac43eac14e05c6d7a0ea44dd3d4e",
"body": "fixing CI issues with DDP smoketests\n\nfailed:\nhttps://github.com/neuralmagic/llm-compressor-testing/actions/runs/27731361640/job/82039025613\n\nAutoround has an issue so setting that to skip, unsure what the problem\nis as of now\n\n`2026-06-18T06:51:55.0888501Z [torchrun0]:[rank0]: FileNotFoundError:\n[E\n[…]\n://github.com/neuralmagic/llm-compressor-testing/actions/runs/27788891140\n\n---------\n\nSigned-off-by: HDCharles <charlesdavidhernandez@gmail.com>\nCo-authored-by: Claude Opus 4.6 <noreply@anthropic.com>",
"is_bot": false,
"headline": "fix: DDP smoke test CI failures (#2840)",
"author_name": "HDCharles",
"author_login": "HDCharles",
"committed_at": "2026-06-22T17:35:13Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "b687eb821932643407e598203d0bb5f4481f7ac8",
"body": "Summary\n\nwhen any of the fused layers are missing (shared k,v in qkv) this will\nerror without this change, see the unit test\n\nSigned-off-by: HDCharles <charlesdavidhernandez@gmail.com>",
"is_bot": false,
"headline": "fix: skip None layers in fuse_weight_observers (#2841)",
"author_name": "HDCharles",
"author_login": "HDCharles",
"committed_at": "2026-06-22T16:51:25Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "eae3af52f3856cb88b7fd461e156854091a0cb07",
"body": "https://github.com/huggingface/transformers/blob/7bd2725e97c786a85180df0dea5441b290a9b1d6/src/transformers/models/auto/tokenization_auto.py#L707-L708\n\n---------\n\nSigned-off-by: Kyle Sayers <kylesayrs@gmail.com>",
"is_bot": false,
"headline": "[Misc] Remove `use_fast` arg (#2849)",
"author_name": "Kyle Sayers",
"author_login": "kylesayrs",
"committed_at": "2026-06-22T16:46:02Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "90fb24b205f031db05a3cd4f8aa389192d307036",
"body": "## Background ##\nAs of the introduction of `load_offloaded_model` via\nhttps://github.com/vllm-project/llm-compressor/pull/2148 and\nhttps://github.com/vllm-project/llm-compressor/pull/2373, users are\nencouraged to load models as offloaded. This allows for distributed\ndispatches, disk offloading etc. \n[…]\nch the pipeline dispatch).\n\n## Purpose ##\n* Avoid excess device movement and OOM errors by not having `datafree`\nand `basic` pipelines dispatch models\n\nSigned-off-by: Kyle Sayers <kylesayrs@gmail.com>",
"is_bot": false,
"headline": "Remove all device movement from pipelines (#2846)",
"author_name": "Kyle Sayers",
"author_login": "kylesayrs",
"committed_at": "2026-06-22T16:43:04Z",
"body_truncated": true,
"is_coding_agent": false
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{
"oid": "10812a81500b87b4c522d38a69d293b954e58e1e",
"body": "Summary:\n\npreviously this was fixing a bug, the bugfix was moved\nhttps://github.com/vllm-project/compressed-tensors/pull/739 but this\nexample is still useful\n\n---------\n\nSigned-off-by: HDCharles <{\"message\":\"Not Found\",\"documentation_url\":\"https://docs.github.com/rest/users/emails#list-email-addresses-for-the-authenticated-user\",\"status\":\"404\"}>\nSigned-off-by: HDCharles <charlesdavidhernandez@gmail.com>",
"is_bot": false,
"headline": "gemma4 example (#2816)",
"author_name": "HDCharles",
"author_login": "HDCharles",
"committed_at": "2026-06-18T22:34:30Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "dc943cd99200de43cab0b532c6ac6aa3a03127d8",
"body": "…833)\n\n**SUMMARY**:\n\n#2677 removed the .weight suffix from split tensor names based on the\nassumption that safetensors tensor names always include `.weight`. That\nwas a valid fix for the case introduced in #2464: when the input tensor\nalready ended in .weight, the #2464 logic could produce invalid n\n[…]\nng validation so validation and quantization\noperate on the same tensor names.\n\n**TEST PLAN**:\nminor regression\n\n---------\n\nCo-authored-by: Brian Dellabetta <brian-dellabetta@users.noreply.github.com>",
"is_bot": false,
"headline": "[model_free] fix: skipped quantization on split fused moe experts (#2…",
"author_name": "LeonEricsson",
"author_login": "LeonEricsson",
"committed_at": "2026-06-18T17:12:47Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "e16b807350578d397045d33a2f7e2a90df5c3b2d",
"body": "…#2769)\n\n## Summary\nI noticed these smoke tests for smoothquant and figured it would be\nuseful to have something similar/more comprehensive for all the\nmodifiers/techniques\n\n- Add multi-GPU DDP smoke tests covering all compression modifiers\n(SmoothQuant, RTN minmax/MSE/imatrix, CPU offload, disk off\n[…]\ntest_compression_ddp.py -m\nmulti_gpu -v\n\n(took about 8 minutes)\n \nsee CI\n\n🤖 Generated with [Claude Code](https://claude.com/claude-code)\n\nCo-authored-by: Claude Opus 4.6 <noreply@anthropic.com>",
"is_bot": false,
"headline": "[Tests] Add comprehensive DDP smoke tests for compression modifiers (…",
"author_name": "HDCharles",
"author_login": "HDCharles",
"committed_at": "2026-06-17T18:42:47Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "09ac68642471bda683406abb52fb8cb1ea220556",
"body": "## summary\ntorch.compile support for MSE observer with chunked execution, opt-in\nvia `set_torch_compile(True)`. `Default off` (no behavior change).\n\n## benchmarks (A100 SXM 80GB / RunPod)\n\n### e2e \n\n(64 samples, max_seq=4096 for activation quantization)\n\n| | +activation (Qwen3-8B) | -activation (Qwe\n[…]\n.github.com>\nCo-authored-by: HDCharles <charlesdavidhernandez@gmail.com>\nCo-authored-by: Claude Opus 4.6 <noreply@anthropic.com>\nCo-authored-by: HDCharles <39544797+HDCharles@users.noreply.github.com>",
"is_bot": false,
"headline": "perf: make MSE observer compatible with torch.compile (#2384)",
"author_name": "Bias92",
"author_login": "Bias92",
"committed_at": "2026-06-17T17:52:49Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "a6aa5003ee934fcb81e9793558fbc1e65de15f77",
"body": "## Purpose ##\n* Solidify the interface for `on_sequential_epoch_end` by passing\nmodules directly\n* Reduce boilerplate for extracting `modules` from method kwargs\n\n---------\n\nSigned-off-by: Kyle Sayers <kylesayrs@gmail.com>",
"is_bot": false,
"headline": "[Lifecycle] Add `modules` argument to `on_sequential_epoch_end` (#2784)",
"author_name": "Kyle Sayers",
"author_login": "kylesayrs",
"committed_at": "2026-06-17T17:39:02Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "435eed9984979bbc9ab1aa06e738ac1770a888b5",
"body": "…n (#2718)\n\n## Summary\nThis PR improves SmoothQuant mapping inference for **Qwen3.5\nhybrid-attention models (both dense and MoE variants)** and aligns the\nimplementation structure more closely with the existing dynamic mapping\nflow used by AWQ.\n\nThe main issue is that Qwen3.5 only exposes\n`self_attn\n[…]\nd-off-by: zhangxin81 <115389973+zhangxin81@users.noreply.github.com>\nSigned-off-by: zhangxin81 <zxinxinxinxinxin@gmail.com>\nCo-authored-by: Brian Dellabetta <brian-dellabetta@users.noreply.github.com>",
"is_bot": false,
"headline": "build SmoothQuant mapping dynamically for Qwen3.5 MoE hybrid attentio…",
"author_name": "zhangxin.zzzzz",
"author_login": "zhangxin81",
"committed_at": "2026-06-17T16:41:13Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "b2a5795a2d72cca97e8cc67b4c37ede21c3ede62",
"body": "…2798)\n\n## Summary\nWhen a model with tied word embeddings is saved while offloaded, the\noffload conversion (`to_accelerate`) splits `embed_tokens` and `lm_head`\ninto separate parameters. This defeats transformers' save-time\nde-duplication, so a redundant, bit-identical `lm_head.weight` gets\nwritten.\n[…]\nti@cohere.com>\nSigned-off-by: Brian Dellabetta <bdellabe@redhat.com>\nCo-authored-by: Brian Dellabetta <brian-dellabetta@users.noreply.github.com>\nCo-authored-by: Brian Dellabetta <bdellabe@redhat.com>",
"is_bot": false,
"headline": "fix: re-tie word embeddings before save to avoid duplicate lm_head (#…",
"author_name": "EdalatiAli",
"author_login": "EdalatiAli",
"committed_at": "2026-06-16T19:12:13Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "4ec119d3460c34cb4b2eed22c64cb926066cb209",
"body": "## Purpose\n\nAdds `examples/quantization_embedding/` — an example showing how to\nquantize a model's **input embedding table** to weight-only `intN`\n(WNA16) with a data-free `QuantizationModifier`. vLLM loads these\ncheckpoints (embedding-quant support added in vllm-project/vllm#44340)\nand runs a fused\n[…]\n-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>\nCo-authored-by: Kyle Sayers <kylesayrs@gmail.com>\nCo-authored-by: Brian Dellabetta <brian-dellabetta@users.noreply.github.com>",
"is_bot": false,
"headline": "Add input-embedding quantization example (#2830)",
"author_name": "Karthik Kothuri",
"author_login": "KKothuri",
"committed_at": "2026-06-15T21:58:52Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "715e1166c9263124548da9d2e307fdb4c7f17eab",
"body": "## Purpose ##\n* Remove confusing and boiler-plate modifier code for handling\ncalibration events\n* Rename `calibration_epoch_start/end` to `calibration_start/end` for\nclarity, as requested by @brian-dellabetta\n\n## Changes ##\n* Add calibration lifecycle event hooks as optional methods that\nmodifiers c\n[…]\now handled by the\n`Modifier` base class\n* Updated documentation \n\n## Testing ##\n* All tests in `tests/llmcompressor/modifiers/` folder pass\n\n---------\n\nSigned-off-by: Kyle Sayers <kylesayrs@gmail.com>",
"is_bot": false,
"headline": "[Lifecycle] Make calibration events first-class citizens (#2783)",
"author_name": "Kyle Sayers",
"author_login": "kylesayrs",
"committed_at": "2026-06-15T21:41:52Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "e1a69477143c35f1e50d4d2bdf49f68e79cd7402",
"body": "Summary:\n\nobservers need stats of their fused observers to calculate global_scale\nproperly.\n\nwe run all observers in a chunk at the same time so normally this isn't\nan issue.\n\nif sequential targets is set to linear or something else small, the\nfused observers will not be in the current chunk and so \n[…]\n't matter but in the situation where the\nsequential targets is really small, it will solve the problem.\n\nTest Plan:\nsee unit test\n\n---------\n\nSigned-off-by: HDCharles <charlesdavidhernandez@gmail.com>",
"is_bot": false,
"headline": "fix bug fused obs + sequential targets (#2732)",
"author_name": "HDCharles",
"author_login": "HDCharles",
"committed_at": "2026-06-15T20:39:31Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "bfd4b40a1172cef01e36f41793e201f3b3237f77",
"body": "## Purpose ##\n* Remove warning for gold-standard and expected behavior\n* For context, this warning was added when passing `output_dir` to\n`oneshot` or `train` was the default flow\n * Now, we discourage users from passing `output_dir`\n* It's been almost two years since we made this change, it's reas\n[…]\nve warning\n\nSigned-off-by: Kyle Sayers <kylesayrs@gmail.com>\nCo-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>\nCo-authored-by: CodeRabbit <noreply@coderabbit.ai>",
"is_bot": false,
"headline": "[Misc] Remove oneshot `output_dir` warning (#2782)",
"author_name": "Kyle Sayers",
"author_login": "kylesayrs",
"committed_at": "2026-06-15T19:08:54Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "09f9a944bac1435f021d44828525360365d430f0",
"body": "Signed-off-by: Kyle Sayers <kylesayrs@gmail.com>\nCo-authored-by: Brian Dellabetta <brian-dellabetta@users.noreply.github.com>",
"is_bot": false,
"headline": "[QuIP] Change default to only use input (v) rotations (#2815)",
"author_name": "Kyle Sayers",
"author_login": "kylesayrs",
"committed_at": "2026-06-15T18:44:05Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "13086b301505abc37576801157746d7f33728fdf",
"body": "## Purpose ##\n* Drastically speed up validation step for model_free_ptq\n\n# Note! #\nThis branch depends on\nhttps://github.com/vllm-project/compressed-tensors/pull/726. It's likely\nthat a release will be cut after\nhttps://github.com/vllm-project/llm-compressor/pull/2647 lands, so it's\nbest to let the other PR land first, release, then merge this one in.\n\nSigned-off-by: Kyle Sayers <kylesayrs@gmail.com>",
"is_bot": false,
"headline": "[model_free_ptq] Perform validation on meta device (#2796)",
"author_name": "Kyle Sayers",
"author_login": "kylesayrs",
"committed_at": "2026-06-15T16:32:14Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "7325301c5d4d34a211c8e59d4e749a62c385edf5",
"body": "```bash\nvllm ({'pretrained': 'Qwen3-8B-W4A16-G128-AutoRound-Ultrachat200k/', 'tensor_parallel_size': 1, 'max_model_len': 8192, 'max_num_batched_tokens': 32768, 'max_num_seqs': 128, 'add_bos_token': True, 'gpu_memory_utilization': 0.8, 'dtype': 'bfloat16', 'max_gen_toks': 2048, 'enable_prefix_caching\n[…]\nd\"\n\n---------\n\nSigned-off-by: yiliu30 <yi4.liu@intel.com>\nSigned-off-by: Yi Liu <yi4.liu@intel.com>\nCo-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>",
"is_bot": false,
"headline": "[Autoround] add custom dataset support (#2824)",
"author_name": "Yi Liu",
"author_login": "yiliu30",
"committed_at": "2026-06-15T16:07:49Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "20563394f9e1f6d64f59ab5f727b078cd4cd3eeb",
"body": "## Purpose ##\n* Remove unnecessary autowrapping for if condition which contain `:=` in\nthe statement but not the condition\n\nStill wrapped:\n```python3\nif (a := b):\n ...\n```\n\nNo longer wrapped:\n```python3\nif True:\n a := b\n```\n\n## Testing ##\n* Walrus operator tests in `test_autowrapper` still pass\n\nSigned-off-by: Kyle Sayers <kylesayrs@gmail.com>",
"is_bot": false,
"headline": "[Bugfix] [Autowrapper] Only check walrus in if condition (#2819)",
"author_name": "Kyle Sayers",
"author_login": "kylesayrs",
"committed_at": "2026-06-15T15:36:50Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "d54355f5df94b4c2eb38ab89084e244b60a42612",
"body": "Summary\n- Mention Transformers v5 supoprt\n- Link DiffusionGemma models",
"is_bot": false,
"headline": "Update What's New (#2831)",
"author_name": "Dipika Sikka",
"author_login": "dsikka",
"committed_at": "2026-06-15T14:56:59Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "6d2a0908e45324b76e390bdec600143e85a075f8",
"body": "## Purpose ##\n* Fix calibration of all experts\n* Need to enter `moe_calibration_context` during oneshot. In the future,\nI'd like to add this to `calibration_forward_context` and deprecate the\n`moe_calibrate_all_experts` argument\n* I'm not sure why this error was never seen by any of the other NVFP4/\n[…]\ntware industry. I'm looking for a job in the software industry. I'm looking for a job in the\n==========================================\n```\n\n---------\n\nSigned-off-by: Kyle Sayers <kylesayrs@gmail.com>",
"is_bot": false,
"headline": "[MoE] [Bugfix] Add missing `moe_calibration_context` (#2827)",
"author_name": "Kyle Sayers",
"author_login": "kylesayrs",
"committed_at": "2026-06-12T16:59:22Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "a32b17d2fa8c2b4432576c785ed7eeb311bfeb45",
"body": "SUMMARY:\nUpdate dep versions for release.\n\n\nTEST PLAN:\nAll tests.\n\n---------\n\nSigned-off-by: Dan Huang <dahuang@redhat.com>",
"is_bot": false,
"headline": "Update dep versions for release (#2810)",
"author_name": "dhuangnm",
"author_login": "dhuangnm",
"committed_at": "2026-06-11T19:55:53Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "ccdd1e7ec1eb98d600fbef3f9afcc1da06874a2b",
"body": "Fixes #2696\n\n## Summary:\nAdds AWQ smoothing mappings for `Glm4MoeLiteForCausalLM` (GLM-4.7-Flash\nmodel).\n\n## Architecture Notes\nGLM-4.7-Flash:\n- **MLA attention** (`q_a_proj`, `kv_a_proj_with_mqa`, `q_b_proj`,\n`kv_b_proj`) instead of standard `q/k/v_proj`\n- **Mixed dense/MoE FFN**: `first_k_dense_re\n[…]\nully.\nVerified inference via vLLM produces coherent outputs.\n\nSigned-off-by: Priyadharshini <gpriyadharshini0205@gmail.com>\nCo-authored-by: Brian Dellabetta <brian-dellabetta@users.noreply.github.com>",
"is_bot": false,
"headline": "Add AWQ Mappings for Glm4MoeLiteForCausalLM (#2768)",
"author_name": "Priyadharshini",
"author_login": "Priya95715",
"committed_at": "2026-06-11T14:02:50Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "52eec9a04f760ee993d52872fa3a5e0085b3add2",
"body": "## Purpose ##\n* Fix KV Cache tests when using `init_empty_weights` with\n`accelerate==1.6.0` and `transformers>=5.9.0`\n* Newer versions of transformers attach an attribute\n`_is_hf_initialized` to parameters. However,\n`accelerate::init_empty_weights` treats this as a class constructor\nparam. When it t\n[…]\nt_empty_weights` and instead loading on the meta device instead.\n\n## Changes ##\n* Remove all uses of `init_empty_weights`, instead load on meta device\n\nSigned-off-by: Kyle Sayers <kylesayrs@gmail.com>",
"is_bot": false,
"headline": "[Bugfix] Fix KV cache tests with transformers v5 (#2823)",
"author_name": "Kyle Sayers",
"author_login": "kylesayrs",
"committed_at": "2026-06-10T21:48:18Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "539b03e41f0bd028acf424c1abf61e8633dfb19c",
"body": "## Summary\nThis PR introduces a new unified context manager `load_context` that\ncombines both `load_offloaded_model` and `load_quantizable_moe`\ncontexts, simplifying model loading code across the codebase.\n\n## Changes\n\n### Core Implementation\n- **Add `load_context()` in `src/llmcompressor/utils/dev.\n[…]\nm>\nCo-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>\nCo-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>\nCo-authored-by: CodeRabbit <noreply@coderabbit.ai>",
"is_bot": false,
"headline": "Add `load_context` unified context manager (#2811)",
"author_name": "Kyle Sayers",
"author_login": "kylesayrs",
"committed_at": "2026-06-10T20:49:57Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "a3efcbe0b35004b71046d6c769039c19619fa609",
"body": "## Purpose ##\n* Explain how the new MoE loading system works\n* Explain how to add support for MoE models which do not follow the\n`use_experts_implementation` convention\n\n---------\n\nSigned-off-by: Kyle Sayers <kylesayrs@gmail.com>",
"is_bot": false,
"headline": "[Docs] Add MoE + Transformers V5 docs (#2820)",
"author_name": "Kyle Sayers",
"author_login": "kylesayrs",
"committed_at": "2026-06-10T20:24:38Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "650d782694b80bc1639331dbeeb1a2fd6f2290ab",
"body": "Summary:\n\nimatrix creates its hook differently from hooks_mixin so it wasn'te\nrespecting this\n\nkind of hacky but we're going to rewrite this anyway when we get rid of\nimatrixgatherer\n\nTEST PLAN:\npytest\n/home/HDCharles/repos/llm-compressor/tests/llmcompressor/observers -k\ntest_hook\n\n---------\n\nSigned\n[…]\nlesdavidhernandez@gmail.com>\nSigned-off-by: HDCharles <39544797+HDCharles@users.noreply.github.com>\nCo-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>",
"is_bot": false,
"headline": "fix imatrix + awq (#2814)",
"author_name": "HDCharles",
"author_login": "HDCharles",
"committed_at": "2026-06-09T19:48:51Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "a71ae2344bc6759b7127b297334e24fc3a0ae5aa",
"body": "# Transformers v5 #\n* Resolves #2159\n\n## Examples and Model Loading ##\n\n* `dtype` now defaults to `\"auto\"`, so we can remove this explicit\nargument to reduce confusion\n* `from_pretrained` no longer supports `use_auth_token`\n* Model structures differ between v4 and v5. This means that our example\nreg\n[…]\nfor testing that regexes still match after v5\nupgrade\nhttps://github.com/vllm-project/llm-compressor/pull/new/kylesayrs/example_regex_tests\n\n---------\n\nSigned-off-by: Kyle Sayers <kylesayrs@gmail.com>",
"is_bot": false,
"headline": "Transformers v5 (#2647)",
"author_name": "Kyle Sayers",
"author_login": "kylesayrs",
"committed_at": "2026-06-09T18:29:47Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "4818655c5bac230f2ee35957427457dd939c0251",
"body": "## Summary\n\n- Removes the stale `# TODO: this does not serialize / will be\nincorrectly written` comment on `GPTQModifier.actorder`\n\nThe TODO was added in #1815 when serialization behavior of the\n`Sentinel(\"static\")` default was uncertain. It is no longer applicable:\n\n- `test_serialize_actorder` conf\n[…]\nd-tensors==0.16.0`).\n\n## Test plan\n\n- No behavior change — comment-only removal\n- Existing `test_serialize_actorder` covers serialization correctness\n\nCo-authored-by: Kyle Sayers <kylesayrs@gmail.com>",
"is_bot": false,
"headline": "cleanup: remove stale actorder serialization TODO (#2807)",
"author_name": "Sawyer Bowerman",
"author_login": "soyr-redhat",
"committed_at": "2026-06-09T14:56:27Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "003ccbcfbc3b1a8b7216f7c8d9eaa47e043dca8f",
"body": "…) (#2589)\n\n## Summary\nCloses #2551\nSimplifies the `splits` interface in\n[get_processed_dataset](cci:1://file:///data/arpit/projects/llm-compressor/src/llmcompressor/datasets/utils.py:28:0-94:32)\nby removing\nmulti-split dict handling in favour of a plain string argument.\n\n\n### Examples & Tests\n- Upd\n[…]\ned-off-by: Arpit <arpit@example.com>\nCo-authored-by: Arpit <arpit@example.com>\nCo-authored-by: HDCharles <39544797+HDCharles@users.noreply.github.com>\nCo-authored-by: Kyle Sayers <kylesayrs@gmail.com>",
"is_bot": false,
"headline": "[Refactor] Refactor splits to only use the \"calibration\" split (#2551…",
"author_name": "Arpit Khandelwal",
"author_login": "arpitkh101",
"committed_at": "2026-06-08T01:53:35Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "6a5c9bde488ddd4026377b336263994e48d9eb2d",
"body": "SUMMARY:\nMinor textual and semantic fixes across docs and setup:\n- `docs/index.md`: fixed missing word \"to\" in sparse compression\ndeprecation warning\n- `docs/guides/big_models_and_distributed/model_loading.md`: fixed\nspelling of \"auxiliary\"\n- `setup.py`: fixed malformed f-string literal in version logging\n\nTEST PLAN:\nText-only changes in docs. The setup.py fix corrects a debug log string\nwith no impact on build behavior.",
"is_bot": false,
"headline": "fix: semantic and textual linting updates (#2795)",
"author_name": "Sawyer Bowerman",
"author_login": "soyr-redhat",
"committed_at": "2026-06-07T14:34:42Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "4e6c34c3194fcdb2e17dae090eed44d97d5397eb",
"body": "Signed-off-by: Kyle Sayers <kylesayrs@gmail.com>\nSigned-off-by: Dipika Sikka <dipikasikka1@gmail.com>\nCo-authored-by: Dipika Sikka <dipikasikka1@gmail.com>",
"is_bot": false,
"headline": "[Examples] [model_free_ptq] Nemotron Ultra Example (#2803)",
"author_name": "Kyle Sayers",
"author_login": "kylesayrs",
"committed_at": "2026-06-05T13:49:40Z",
"body_truncated": false,
"is_coding_agent": false
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"body": "SUMMARY:\nThe `[tool.mypy]` config in `pyproject.toml` had `files =\n\"src/guidellm\"`, which appears to be an artifact from guidellm. Updated\nto `files = \"src/llmcompressor\"` so mypy checks the correct source tree.\n\nTEST PLAN:\nVerified that `src/llmcompressor` exists and `src/guidellm` does not.\nThis is a config-only fix with no runtime impact.",
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"body": "## SUMMARY\n\nPart of #1927. Modernizes type hints in `src/llmcompressor/utils/` to\nuse PEP 604 union syntax (`X | Y`) and PEP 585 built-in generics\n(`list`, `dict`).\n\nTwo files touched:\n- `src/llmcompressor/utils/metric_logging.py`\n- `src/llmcompressor/utils/pytorch/module.py`\n\nAlso moves `Iterable` \n[…]\n no other\nmodule imports the removed `typing` names from these files.\n\nSigned-off-by: u7k4rs6 <utkarshbahuguna10@gmail.com>\nCo-authored-by: Brian Dellabetta <brian-dellabetta@users.noreply.github.com>",
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"body": "…2779)\n\n## SUMMARY\n\nPart of #1927. Second PR in the umbrella (after #2777). Modernizes type\nhints in `src/llmcompressor/modeling/` to use PEP 604 union syntax (`X |\nY`) and PEP 585 built-in generics (`list`, `tuple`).\n\nTwo files touched:\n- `src/llmcompressor/modeling/gpt_oss.py`\n- `src/llmcompressor\n[…]\nquires=\">=3.10\"`.\n- No downstream importer relied on the removed `typing.List` /\n`typing.Optional` / `typing.Tuple` re-exports from these modules.\n\nSigned-off-by: u7k4rs6 <utkarshbahuguna10@gmail.com>",
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"points": 7.5,
"status": "met",
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{
"key": "branch_protection",
"name": "Branch-Protection",
"detail": "internal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md",
"points": 0,
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{
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{
"key": "cii_best_practices",
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"points": 0,
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{
"key": "code_review",
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{
"key": "contributors",
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"points": 2.5,
"status": "met",
"details": [],
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},
{
"key": "dangerous_workflow",
"name": "Dangerous-Workflow",
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"points": 10,
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},
{
"key": "dependency_update_tool",
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{
"key": "fuzzing",
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"points": 0,
"status": "missed",
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},
{
"key": "license",
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"points": 2.5,
"status": "met",
"details": [],
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},
{
"key": "maintained",
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"points": 7.5,
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"details": [],
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},
{
"key": "packaging",
"name": "Packaging",
"detail": "packaging workflow not detected",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
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],
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{
"key": "pinned_dependencies",
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{
"key": "sast",
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{
"key": "security_policy",
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"detail": "security policy file not detected",
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"status": "missed",
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{
"key": "signed_releases",
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"points": 0,
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{
"key": "token_permissions",
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{
"key": "vulnerabilities",
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}
]
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{
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"code": "no_indirect_advisories",
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{
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"points": 35.3,
"status": "partial",
"details": [
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"key": "malicious_dependencies",
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"note": null,
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"inputs": {
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"packages": [],
"red_flag": false,
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"direct_malicious_packages": 0,
"withdrawn_malicious_packages": 0,
"installable_malicious_packages": 0
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"key": "no_dependency_reported_as_a_malicious_package",
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"max_points": 100
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]
},
{
"key": "high_risk_jurisdiction_exposure",
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"name": "High-Risk Jurisdiction Exposure",
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"notes": [
{
"code": "jurisdiction_evidence_limits",
"params": {}
}
],
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"review_only_matches": 0,
"assessed_self_published_locations": 9
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"components": [
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"details": [
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"code": "jurisdiction_no_match",
"params": {}
}
],
"max_points": 100
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],
"description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
},
{
"key": "ai_readiness",
"band": "at_risk",
"name": "AI Readiness",
"value": 46,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
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"agent_instruction_max_bytes": null
},
"components": [
{
"key": "agent_instructions",
"name": "Agent instructions",
"detail": "no CLAUDE.md / AGENTS.md / editor rules",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_agent_instructions",
"params": {}
}
],
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{
"key": "machine_readable_docs_llms_txt",
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"points": 0,
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"details": [],
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},
{
"key": "legible_commit_history",
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"code": "legible_history",
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]
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{
"key": "ai_verify_loop",
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"name": "Verify loop (build / test / typecheck)",
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"inputs": {
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"key": "one_command_bootstrap",
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"points": 18,
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"code": "file_list",
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{
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{
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"points": 0,
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{
"key": "reproducible_environment",
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"points": 0,
"status": "missed",
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{
"key": "demonstrated_agent_practice",
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"points": 10,
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{
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"status": "missed",
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"code": "no_dependency_automation",
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}
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"max_points": 8
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{
"key": "openssf_scorecard_pinned_dependencies",
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"key": "ai_code_legibility",
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"oversized_source_files": 1
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"components": [
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{
"key": "manageable_file_sizes",
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"points": 54.9,
"status": "partial",
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},
{
"key": "ai_interfaces",
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"notes": [],
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"inputs": {
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"components": [
{
"key": "api_schema_openapi_graphql_proto",
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"points": 0,
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{
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{
"key": "runnable_examples",
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"status": "met",
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],
"description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
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],
"metrics_version": "1.13.0"
},
"warnings": [
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],
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"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/v/vllm-project/llm-compressor.svg",
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}
Пов’язані записи
Перевірені репозиторії, що мають спільні каталожні теги або екосистеми з vllm-project/llm-compressor. Читати поруч →
Оцінки — це сигнали, а не гарантії. Вони відображають публічно видимі практики на GitHub — це не аудит коду й не гарантія безпеки.
Відсутні дані виключаються, а ваги перенормовуються — нуль за відсутність ніколи не ставиться. Методологія версіонована й відкрита: метрики v1.13.0, схема v0.27.0 — повна методологія · вікі метрик.
