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https://github.com/intel/auto-round

diffusers gguf int4 llms mxfp4 nvfp4 omni quantization rounding sglang transformers vllm vlms

Score: 24.090278064307668

Last synced: about 10 hours ago
JSON representation

Repository metadata:

A simple and effective post training quantization toolkit for high-accuracy low-bit LLM inference|简洁且高效的后训练量化工具包

Owner metadata:

GitHub Events

Total
Last Year

Committers metadata

Last synced: 1 day ago

Total Commits: 1,468
Total Committers: 46
Avg Commits per committer: 31.913
Development Distribution Score (DDS): 0.72

Commits in past year: 816
Committers in past year: 39
Avg Commits per committer in past year: 20.923
Development Distribution Score (DDS) in past year: 0.801

Name Email Commits
Wenhua Cheng w****g@i****m 411
Heng Guo h****o@i****m 217
Xin He x****e@i****m 169
Weiwei w****g@i****m 165
Sun, Xuehao x****n@i****m 94
Yi Liu y****u@i****m 86
chen, suyue s****n@i****m 69
Liang Lv l****v@i****m 36
Wang, Chang c****g@i****m 34
Wang, Mengni m****g@i****m 33
Tang Kaihui k****g@i****m 15
lkk 3****2 15
Haihao Shen h****n@i****m 13
Luo Yu y****o@i****m 13
yintong-lu 1****u 13
Zhenzhong Xu z****u@i****m 10
Shubham Padkonde s****2@g****m 9
Copilot 1****t 7
pre-commit-ci[bot] 6****] 7
pursure-D 1****D 6
jijiaz j****u@i****m 5
Huang, Tai t****g@i****m 3
Ramakrishnan Sathyavageeswaran r****s@o****m 3
SwekeR 1****3 3
ZaneMark z****a@i****m 3
avtc t****v@g****m 3
dependabot[bot] 4****] 3
Adithyan 6****c 2
Fabrizio del Tin 3****a 2
Nikita Davidchuk b****8@g****m 2
and 16 more...

Issue and Pull Request metadata

Last synced: about 10 hours ago

Total issues: 313
Total pull requests: 766
Average time to close issues: 27 days
Average time to close pull requests: 5 days
Total issue authors: 52
Total pull request authors: 41
Average comments per issue: 1.68
Average comments per pull request: 1.67
Merged pull request: 515
Bot issues: 0
Bot pull requests: 11

Past year issues: 135
Past year pull requests: 186
Past year average time to close issues: about 1 month
Past year average time to close pull requests: 7 days
Past year issue authors: 25
Past year pull request authors: 25
Past year average comments per issue: 2.09
Past year average comments per pull request: 6.05
Past year merged pull request: 121
Past year bot issues: 0
Past year bot pull requests: 1

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/intel/auto-round

Top Issue Authors

  • wenhuach21 (176)
  • chensuyue (29)
  • XuehaoSun (20)
  • Tortoise17 (9)
  • n1ck-guo (6)
  • WeiweiZhang1 (5)
  • mxjmtxrm (5)
  • changwangss (5)
  • avtc (4)
  • Qubitium (4)
  • lkk12014402 (4)
  • xin3he (3)
  • yiliu30 (2)
  • xjz-ai (2)
  • HsuWanTing (2)

Top Pull Request Authors

  • wenhuach21 (249)
  • WeiweiZhang1 (124)
  • n1ck-guo (111)
  • xin3he (46)
  • XuehaoSun (39)
  • yiliu30 (33)
  • changwangss (24)
  • chensuyue (20)
  • yintong-lu (15)
  • Shubham-Padkonde (14)
  • SinpackKonmakan (9)
  • pursure-D (8)
  • lkk12014402 (7)
  • lvliang-intel (7)
  • dependabot[bot] (6)

Top Issue Labels

  • bug (52)
  • enhancement (46)
  • high priority (28)
  • Model Support (5)
  • CI-known-issue (4)
  • critical (3)
  • good first issue (2)
  • call for help (1)
  • ready-for-verification (1)
  • ready (1)
  • Intel GPU (1)
  • Stale (1)
  • low priority (1)

Top Pull Request Labels

  • dependencies (6)
  • python (4)
  • Stale (3)
  • engineering (2)
  • draft (2)
  • ready (2)
  • api/change (1)
  • api/new (1)
  • bug (1)
  • enhancement (1)
  • wontfix (1)

Package metadata

proxy.golang.org: github.com/Intel/Auto-round

  • Homepage:
  • Documentation: https://pkg.go.dev/github.com/Intel/Auto-round#section-documentation
  • Licenses: apache-2.0
  • Latest release: v0.15.1 (published 22 days ago)
  • Last Synced: 2026-10-01T04:37:31.199Z (1 day ago)
  • Versions: 37
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Dependent packages count: 4.517%
    • Average: 4.669%
    • Dependent repos count: 4.821%
proxy.golang.org: github.com/intel/Auto-round

  • Homepage:
  • Documentation: https://pkg.go.dev/github.com/intel/Auto-round#section-documentation
  • Licenses: apache-2.0
  • Latest release: v0.15.1 (published 22 days ago)
  • Last Synced: 2026-10-01T04:37:04.245Z (1 day ago)
  • Versions: 37
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Dependent packages count: 4.524%
    • Average: 4.677%
    • Dependent repos count: 4.829%
proxy.golang.org: github.com/Intel/auto-round

  • Homepage:
  • Documentation: https://pkg.go.dev/github.com/Intel/auto-round#section-documentation
  • Licenses: apache-2.0
  • Latest release: v0.15.1 (published 22 days ago)
  • Last Synced: 2026-10-01T04:37:08.549Z (1 day ago)
  • Versions: 37
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Dependent packages count: 4.539%
    • Average: 4.691%
    • Dependent repos count: 4.844%
proxy.golang.org: github.com/intel/auto-round

  • Homepage:
  • Documentation: https://pkg.go.dev/github.com/intel/auto-round#section-documentation
  • Licenses: apache-2.0
  • Latest release: v0.15.1 (published 22 days ago)
  • Last Synced: 2026-10-01T04:37:13.131Z (1 day ago)
  • Versions: 37
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Dependent packages count: 5.416%
    • Average: 5.598%
    • Dependent repos count: 5.78%
pypi.org: auto-round-nightly

Repository of AutoRound: Advanced Weight-Only Quantization Algorithm for LLMs

  • Homepage: https://github.com/intel/auto-round
  • Documentation: https://auto-round-nightly.readthedocs.io/
  • Licenses: Apache 2.0
  • Latest release: 0.17.0.dev20260930 (published 2 days ago)
  • Last Synced: 2026-10-01T04:37:21.077Z (1 day ago)
  • Versions: 261
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 4,113 Last month
  • Rankings:
    • Downloads: 5.079%
    • Dependent packages count: 7.663%
    • Average: 18.691%
    • Dependent repos count: 43.33%
  • Maintainers (1)
pypi.org: auto-round-lib

Auto Round Kernel binary package

  • Homepage: https://github.com/intel/auto-round/auto_round_extension/ark
  • Documentation: https://auto-round-lib.readthedocs.io/
  • Licenses: Apache 2.0
  • Latest release: 0.15.0 (published about 1 month ago)
  • Last Synced: 2026-10-01T04:38:01.186Z (1 day ago)
  • Versions: 32
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 14,277 Last month
  • Rankings:
    • Stargazers count: 5.771%
    • Dependent packages count: 9.787%
    • Forks count: 9.906%
    • Average: 20.139%
    • Dependent repos count: 55.093%
  • Maintainers (1)
pypi.org: auto-round-hpu

Repository of AutoRound: Advanced Weight-Only Quantization Algorithm for LLMs

  • Homepage: https://github.com/intel/auto-round
  • Documentation: https://auto-round-hpu.readthedocs.io/
  • Licenses: Apache 2.0
  • Latest release: 0.16.0 (published 2 days ago)
  • Last Synced: 2026-10-01T04:37:55.041Z (1 day ago)
  • Versions: 20
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 319 Last month
  • Rankings:
    • Dependent packages count: 8.11%
    • Average: 26.983%
    • Dependent repos count: 45.855%
  • Maintainers (1)
pypi.org: auto-round-kernel

Auto Round Kernel binary package

  • Homepage: https://github.com/intel/auto-round
  • Documentation: https://auto-round-kernel.readthedocs.io/
  • Licenses: Apache 2.0
  • Latest release: 0.9.0 (published 10 months ago)
  • Last Synced: 2026-10-01T04:37:44.107Z (1 day ago)
  • Versions: 3
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 44 Last month
  • Rankings:
    • Dependent packages count: 8.147%
    • Average: 27.1%
    • Dependent repos count: 46.054%
  • Maintainers (1)
pypi.org: auto-round

Repository of AutoRound: Advanced Weight-Only Quantization Algorithm for LLMs

  • Homepage: https://github.com/intel/auto-round
  • Documentation: https://auto-round.readthedocs.io/
  • Licenses: Apache 2.0
  • Latest release: 0.16.0 (published 2 days ago)
  • Last Synced: 2026-10-01T04:36:57.448Z (1 day ago)
  • Versions: 44
  • Dependent Packages: 1
  • Dependent Repositories: 0
  • Downloads: 347,443 Last month
  • Rankings:
    • Dependent packages count: 9.874%
    • Average: 37.519%
    • Dependent repos count: 65.164%
  • Maintainers (1)
pypi.org: auto-around

Repository of AutoRound: Advanced Weight-Only Quantization Algorithm for LLMs

  • Homepage: https://github.com/intel/auto-round
  • Documentation: https://auto-around.readthedocs.io/
  • Licenses: Apache 2.0
  • Latest release: 0.0 (published over 2 years ago)
  • Last Synced: 2026-10-01T04:37:22.960Z (1 day ago)
  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 17 Last month
  • Rankings:
    • Dependent packages count: 9.941%
    • Average: 37.779%
    • Dependent repos count: 65.617%
  • Maintainers (1)

Dependencies

requirements.txt pypi
  • accelerate *
  • datasets *
  • sentencepiece *
  • torch ==2.0.1
  • transformers ==4.36.0
setup.py pypi
auto_round_extension/ark/setup.py pypi
pyproject.toml pypi
.github/workflows/compatibility-test.yml actions
  • actions/checkout v6 composite
  • actions/setup-python v6 composite
.github/workflows/check-stale-issue.yml actions
  • actions/stale v10 composite
requirements-cpu.txt pypi
  • auto-round-lib *
  • numba *
  • tbb *
requirements-hpu.txt pypi
  • accelerate >=1.10.0
  • datasets *
  • numpy *
  • packaging *
  • pillow *
  • py-cpuinfo *
  • sentencepiece *
  • tqdm *
  • transformers *
.github/workflows/manual-binary-build-publish.yml actions
  • actions/checkout v6 composite
  • actions/setup-python v6 composite
  • actions/upload-artifact v6 composite
auto_round_extension/ark/requirements.txt pypi
  • torch >=2.13.0
.github/workflows/nightly-binary-release.yml actions
  • actions/checkout v6 composite
  • actions/setup-python v6 composite
.github/workflows/codeql.yml actions
  • actions/checkout v6 composite
  • github/codeql-action/analyze v4 composite
  • github/codeql-action/init v4 composite
test/integration/test_cuda/requirements_vllm.txt pypi
  • lm_eval >=0.4.10 test
  • ray * test
  • vllm * test
test/unit/test_cuda/requirements_vlm.txt pypi
  • bitsandbytes * test
  • einops * test
  • flash-attn * test
  • gptqmodel * test
  • lm-eval >=0.4.2,<0.5 test
  • optimum * test
  • pandas * test
  • pillow * test
  • protobuf * test
  • tiktoken * test
  • timm * test
  • torchvision * test
  • triton * test
  • xformers * test
test/integration/test_cuda/requirements_sglang.txt pypi
  • sglang >=0.5.11 test
test/unit/test_cuda/requirements.txt pypi
  • einops * test
  • gptqmodel * test
  • lm_eval >=0.4.10 test
  • numba * test
  • optimum * test
  • pandas * test
  • pillow * test
  • sentencepiece * test
  • torchvision * test
  • transformers >=5.5.0 test
test/integration/test_cuda/requirements_llmc.txt pypi
  • parameterized * test
test/unit/test_ark/requirements.txt pypi
  • auto-round-lib * test
  • lm_eval >=0.4.10 test
test/unit/test_cuda/requirements_diffusion.txt pypi
  • clip * test
  • image-reward * test
  • optimum * test
test/unit/test_xpu/requirements.txt pypi
  • pillow * test
test/integration/test_cpu/requirements_inc.txt pypi
  • compressed-tensors * test
  • neural_compressor_pt * test
test/integration/test_cpu/requirements_llmc.txt pypi
  • triton * test
test/unit/test_hpu/requirements.txt pypi
  • compressed_tensors <0.16 test
test/unit/test_cpu/requirements.txt pypi
  • addict * test
  • compressed-tensors >=0.15.0 test
  • diffusers * test
  • gguf * test
  • lm_eval >=0.4.10 test
  • modelscope * test
  • numba * test
  • pillow * test
  • protobuf * test
  • pytest * test
  • sentencepiece * test
  • torchvision * test
  • transformers >=5.5.0 test
test/integration/test_xpu/requirements_llmc.txt pypi