Ecosyste.ms: Summary

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awesome-llama: https://github.com/zetavg/llama-lora-tuner

ai alpaca alpaca-lora google-colab gpt gpt-j language-model llama lora machine-learning peft

Score: -Infinity

Last synced: about 5 hours ago
JSON representation

Repository metadata:

UI tool for fine-tuning and testing your own LoRA models base on LLaMA, GPT-J and more. One-click run on Google Colab. + A Gradio ChatGPT-like Chat UI to demonstrate your language models.

Owner metadata:

GitHub Events

Total
Last Year

Committers metadata

Last synced: 4 days ago

Total Commits: 185
Total Committers: 3
Avg Commits per committer: 61.667
Development Distribution Score (DDS): 0.016

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
zetavg m****l@z****g 182
Lőrinc Pap 1****c 2
Pokai Chang p****2@g****m 1

Issue and Pull Request metadata

Last synced: 4 days ago

Total issues: 32
Total pull requests: 3
Average time to close issues: about 22 hours
Average time to close pull requests: about 20 hours
Total issue authors: 21
Total pull request authors: 2
Average comments per issue: 1.69
Average comments per pull request: 0.67
Merged pull request: 2
Bot issues: 0
Bot pull requests: 0

Past year issues: 3
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: 3
Past year pull request authors: 0
Past year average comments per issue: 0.67
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/zetavg/llama-lora-tuner

Top Issue Authors

  • paplorinc (6)
  • xzuyn (3)
  • scblaze (3)
  • zetavg (2)
  • lighteternal (2)
  • xagler (1)
  • SJayYangNN (1)
  • sengiv (1)
  • seanychen (1)
  • quantumalchemy (1)
  • muni-wobo (1)
  • LimLims (1)
  • Lev-Stambler (1)
  • Kimiko-AI (1)
  • joshnajera (1)

Top Pull Request Authors

  • paplorinc (2)
  • zetavg (1)

Top Issue Labels

Top Pull Request Labels

Package metadata

proxy.golang.org: github.com/zetavg/llama-lora-tuner

proxy.golang.org: github.com/zetavg/LLaMA-LoRA-Tuner

Dependencies

requirements.lock.txt pypi
  • Jinja2 ==3.1.2
  • MarkupSafe ==2.1.2
  • Pillow ==9.3.0
  • PyYAML ==6.0
  • Pygments ==2.14.0
  • Random-Word ==1.0.11
  • accelerate ==0.18.0
  • aiofiles ==23.1.0
  • aiohttp ==3.8.4
  • aiosignal ==1.3.1
  • altair ==4.2.2
  • anyio ==3.6.2
  • appdirs ==1.4.4
  • asttokens ==2.2.1
  • async-timeout ==4.0.2
  • attrs ==22.2.0
  • backcall ==0.2.0
  • bitsandbytes ==0.37.2
  • black ==23.3.0
  • charset-normalizer ==3.1.0
  • click ==8.1.3
  • contourpy ==1.0.7
  • cycler ==0.11.0
  • datasets ==2.11.0
  • decorator ==5.1.1
  • dill ==0.3.6
  • entrypoints ==0.4
  • exceptiongroup ==1.1.1
  • executing ==1.2.0
  • fastapi ==0.95.0
  • ffmpy ==0.3.0
  • filelock ==3.11.0
  • fire ==0.5.0
  • fonttools ==4.39.3
  • frozenlist ==1.3.3
  • fsspec ==2023.3.0
  • gradio ==3.27.0
  • gradio_client ==0.1.3
  • h11 ==0.14.0
  • httpcore ==0.16.3
  • httpx ==0.23.3
  • huggingface-hub ==0.13.4
  • idna ==3.4
  • importlib-metadata ==6.2.0
  • importlib-resources ==5.12.0
  • iniconfig ==2.0.0
  • ipython ==8.12.0
  • jedi ==0.18.2
  • jsonschema ==4.17.3
  • kiwisolver ==1.4.4
  • linkify-it-py ==2.0.0
  • llvmlite ==0.39.1
  • loralib ==0.1.1
  • markdown-it-py ==2.2.0
  • matplotlib ==3.7.1
  • matplotlib-inline ==0.1.6
  • 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
  • numba ==0.56.4
  • numpy ==1.23.5
  • nvidia-ml-py3 ==7.352.0
  • orjson ==3.8.9
  • packaging ==23.0
  • pandas ==2.0.0
  • parso ==0.8.3
  • pathspec ==0.11.1
  • pexpect ==4.8.0
  • pickleshare ==0.7.5
  • pkgutil_resolve_name ==1.3.10
  • platformdirs ==3.2.0
  • pluggy ==1.0.0
  • prompt-toolkit ==3.0.38
  • psutil ==5.9.4
  • ptyprocess ==0.7.0
  • pure-eval ==0.2.2
  • pyarrow ==11.0.0
  • pydantic ==1.10.7
  • pydub ==0.25.1
  • pyparsing ==3.0.9
  • pyrsistent ==0.19.3
  • pytest ==7.2.2
  • python-dateutil ==2.8.2
  • python-multipart ==0.0.6
  • pytz ==2023.3
  • regex ==2023.3.23
  • requests ==2.28.2
  • responses ==0.18.0
  • rfc3986 ==1.5.0
  • semantic-version ==2.10.0
  • sentencepiece ==0.1.97
  • six ==1.16.0
  • sniffio ==1.3.0
  • stack-data ==0.6.2
  • starlette ==0.26.1
  • sympy ==1.11.1
  • termcolor ==2.2.0
  • tokenize-rt ==5.0.0
  • tokenizers ==0.13.3
  • tomli ==2.0.1
  • toolz ==0.12.0
  • torch ==2.0.0
  • tqdm ==4.65.0
  • traitlets ==5.9.0
  • typing_extensions ==4.5.0
  • tzdata ==2023.3
  • uc-micro-py ==1.0.1
  • urllib3 ==1.26.15
  • uvicorn ==0.21.1
  • wcwidth ==0.2.6
  • websockets ==11.0.1
  • xxhash ==3.2.0
  • yarl ==1.8.2
  • zipp ==3.15.0
requirements.txt pypi
  • accelerate *
  • altair *
  • appdirs *
  • bitsandbytes *
  • black *
  • datasets *
  • fire *
  • gradio *
  • huggingface_hub *
  • loralib *
  • numba *
  • nvidia-ml-py3 *
  • pandas *
  • random-word *
  • sentencepiece *