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awesome-llama: https://github.com/declare-lab/red-instruct

huggingface-transformers llama llama2 llm llms

Score: 5.7899601708972535

Last synced: about 15 hours ago
JSON representation

Repository metadata:

Codes and datasets of the paper Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment

Owner metadata:

GitHub Events

Total
Last Year

Committers metadata

Last synced: 6 days ago

Total Commits: 64
Total Committers: 3
Avg Commits per committer: 21.333
Development Distribution Score (DDS): 0.172

Commits in past year: 0
Committers in past year: 0
Avg Commits per committer in past year: 0.0
Development Distribution Score (DDS) in past year: 0.0

Name Email Commits
Rishabh Bhardwaj 3****h 53
Soujanya Poria 4****a 9
JIMMY ZHAO k****o@g****m 2

Issue and Pull Request metadata

Last synced: 5 months ago

Total issues: 9
Total pull requests: 1
Average time to close issues: 4 days
Average time to close pull requests: about 9 hours
Total issue authors: 7
Total pull request authors: 1
Average comments per issue: 1.33
Average comments per pull request: 0.0
Merged pull request: 1
Bot issues: 0
Bot pull requests: 0

Past year issues: 1
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 1
Past year pull request authors: 0
Past year average comments per issue: 1.0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/declare-lab/red-instruct

Top Issue Authors

  • HITLittleZheng (3)
  • fabrahman (1)
  • richhh520 (1)
  • Rogerspy (1)
  • YJWon99 (1)

Top Pull Request Authors

  • zhimin-z (2)

Top Issue Labels

Top Pull Request Labels

Dependencies

starling_training/docker/Dockerfile docker
  • nvidia/cuda 11.7.1-runtime-ubuntu20.04 build
starling_training/docker/docker-compose.yml docker
  • fastchat latest
requirements.txt pypi
  • accelerate ==0.17.1
  • bitsandbytes ==0.37.2
  • cpm_kernels ==1.0.11
  • datasets ==2.10.1
  • einops ==0.6.1
  • icetk ==0.0.4
  • numpy ==1.24.2
  • openai ==0.27.6
  • pandas ==2.0.3
  • peft ==0.3.0
  • protobuf ==3.20.3
  • pycountry ==22.3.5
  • pytablewriter ==1.0.0
  • rouge-score ==0.1.2
  • rwkv ==0.7.3
  • sacrebleu ==2.3.1
  • safetensors ==0.3.1
  • sentencepiece ==0.1.97
  • tiktoken ==0.3.3
  • torch ==2.0.0
  • torchvision ==0.15.1
  • tqdm ==4.65.0
  • transformers ==4.29.0
starling_training/fschat.egg-info/requires.txt pypi
  • accelerate *
  • black ==23.3.0
  • fastapi *
  • gradio ==3.35.2
  • httpx *
  • markdown2 *
  • nh3 *
  • numpy *
  • peft *
  • prompt_toolkit >=3.0.0
  • pydantic <=2.0
  • pylint ==2.8.2
  • requests *
  • rich >=10.0.0
  • sentencepiece *
  • shortuuid *
  • tiktoken *
  • tokenizers >=0.12.1
  • torch *
  • transformers <4.29.0,>=4.28.0
  • uvicorn *
  • wandb *
starling_training/pyproject.toml pypi
  • accelerate *
  • fastapi *
  • gradio ==3.35.2
  • httpx *
  • markdown2 [all]
  • nh3 *
  • numpy *
  • peft *
  • prompt_toolkit >=3.0.0
  • pydantic <=2.0
  • requests *
  • rich >=10.0.0
  • sentencepiece *
  • shortuuid *
  • tiktoken *
  • tokenizers >=0.12.1
  • torch *
  • transformers >=4.28.0,<4.29.0
  • uvicorn *
  • wandb *
starling_training/requirements.txt pypi
  • DataProperty ==1.0.0
  • GitPython ==3.1.31
  • Jinja2 ==3.1.2
  • MarkupSafe ==2.1.3
  • Pillow ==10.0.0
  • PyICU ==2.11
  • PyYAML ==6.0
  • Pygments ==2.15.1
  • absl-py ==1.4.0
  • accelerate ==0.20.1
  • aiofiles ==23.1.0
  • aiohttp ==3.8.4
  • aiosignal ==1.3.1
  • altair ==5.0.1
  • annotated-types ==0.5.0
  • anyio ==3.7.1
  • appdirs ==1.4.4
  • async-timeout ==4.0.2
  • attrs ==23.1.0
  • beautifulsoup4 ==4.12.2
  • bitsandbytes ==0.37.2
  • bs4 ==0.0.1
  • certifi ==2023.5.7
  • chardet ==5.1.0
  • charset-normalizer ==3.1.0
  • click ==8.1.3
  • cmake ==3.26.4
  • colorama ==0.4.6
  • contourpy ==1.1.0
  • cpm-kernels ==1.0.11
  • cycler ==0.11.0
  • datasets ==2.10.1
  • dill ==0.3.6
  • docker-pycreds ==0.4.0
  • einops ==0.6.1
  • evaluate ==0.4.0
  • fastapi ==0.100.0
  • ffmpy ==0.3.0
  • filelock ==3.12.2
  • fire ==0.5.0
  • flash-attn ==1.0.5
  • fonttools ==4.40.0
  • frozenlist ==1.3.3
  • fsspec ==2023.6.0
  • gitdb ==4.0.10
  • gradio ==3.35.2
  • gradio_client ==0.2.7
  • h11 ==0.14.0
  • hjson ==3.1.0
  • httpcore ==0.17.3
  • httpx ==0.24.1
  • huggingface-hub ==0.16.2
  • icetk ==0.0.4
  • idna ==3.4
  • joblib ==1.3.1
  • jsonschema ==4.18.0
  • jsonschema-specifications ==2023.6.1
  • kiwisolver ==1.4.4
  • linkify-it-py ==2.0.2
  • lit ==16.0.6
  • lxml ==4.9.3
  • markdown-it-py ==2.2.0
  • markdown2 ==2.4.9
  • markdownify ==0.11.6
  • matplotlib ==3.7.2
  • mbstrdecoder ==1.1.3
  • mdit-py-plugins ==0.3.3
  • mdurl ==0.1.2
  • mpmath ==1.3.0
  • multidict ==6.0.4
  • multiprocess ==0.70.14
  • mypy-extensions ==1.0.0
  • networkx ==3.1
  • nh3 ==0.2.14
  • ninja ==1.11.1
  • nltk ==3.8.1
  • numpy ==1.24.2
  • nvidia-cublas-cu11 ==11.10.3.66
  • nvidia-cuda-cupti-cu11 ==11.7.101
  • nvidia-cuda-nvrtc-cu11 ==11.7.99
  • nvidia-cuda-runtime-cu11 ==11.7.99
  • nvidia-cudnn-cu11 ==8.5.0.96
  • nvidia-cufft-cu11 ==10.9.0.58
  • nvidia-curand-cu11 ==10.2.10.91
  • nvidia-cusolver-cu11 ==11.4.0.1
  • nvidia-cusparse-cu11 ==11.7.4.91
  • nvidia-nccl-cu11 ==2.14.3
  • nvidia-nvtx-cu11 ==11.7.91
  • openai ==0.27.6
  • orjson ==3.9.2
  • packaging ==23.1
  • pandas ==2.0.3
  • pathtools ==0.1.2
  • pathvalidate ==3.0.0
  • peft ==0.3.0
  • polyglot ==16.7.4
  • portalocker ==2.7.0
  • prompt-toolkit ==3.0.39
  • protobuf ==3.20.3
  • psutil ==5.9.5
  • py-cpuinfo ==9.0.0
  • pyarrow ==12.0.1
  • pycld2 ==0.41
  • pycountry ==22.3.5
  • pydantic ==1.10.6
  • pydantic_core ==2.1.2
  • pydub ==0.25.1
  • pyparsing ==3.0.9
  • pyre-extensions ==0.0.29
  • pytablewriter ==1.0.0
  • python-dateutil ==2.8.2
  • python-multipart ==0.0.6
  • pytz ==2023.3
  • referencing ==0.29.1
  • regex ==2023.6.3
  • requests ==2.31.0
  • responses ==0.18.0
  • rich ==13.4.2
  • rouge-score ==0.1.2
  • rpds-py ==0.8.10
  • rwkv ==0.7.3
  • sacrebleu ==2.3.1
  • safetensors ==0.3.1
  • scikit-learn ==1.3.0
  • scipy ==1.11.1
  • semantic-version ==2.10.0
  • sentencepiece ==0.1.97
  • sentry-sdk ==1.27.1
  • setproctitle ==1.3.2
  • shortuuid ==1.0.11
  • six ==1.16.0
  • smmap ==5.0.0
  • sniffio ==1.3.0
  • soupsieve ==2.4.1
  • starlette ==0.27.0
  • svgwrite ==1.4.3
  • sympy ==1.12
  • tabledata ==1.3.1
  • tabulate ==0.9.0
  • tcolorpy ==0.1.3
  • termcolor ==2.3.0
  • threadpoolctl ==3.1.0
  • tiktoken ==0.3.3
  • tokenizers ==0.13.3
  • toolz ==0.12.0
  • torch ==2.0.0
  • torchvision ==0.15.1
  • tqdm ==4.65.0
  • transformers ==4.29.0
  • triton ==2.0.0
  • typepy ==1.3.1
  • typing-inspect ==0.9.0
  • typing_extensions ==4.7.1
  • tzdata ==2023.3
  • uc-micro-py ==1.0.2
  • urllib3 ==2.0.3
  • uvicorn ==0.22.0
  • wandb ==0.15.5
  • wavedrom ==2.0.3.post3
  • wcwidth ==0.2.6
  • websockets ==11.0.3
  • xformers ==0.0.20
  • xxhash ==3.2.0
  • yarl ==1.9.2