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awesome-llama: https://github.com/aakarsh/rl-llm-calibration-test

llama2 llm

Score: 4.499809670330265

Last synced: about 22 hours ago
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Repository metadata:

Attempt at replication of the parts of the paper "Language models (mostly) know what they know", on open datasets, and models.


Owner metadata:


GitHub Events

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Last Year

Committers metadata

Last synced: 8 months ago

Total Commits: 202
Total Committers: 9
Avg Commits per committer: 22.444
Development Distribution Score (DDS): 0.213

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
aakarsh nair a****h@n****m 159
linusroesener 5****r 14
Aakarsh Nair a****r@g****m 13
Bela Linus Roesner l****r@s****e 5
ILINCA VANDICI i****u@g****m 4
Ubuntu u****u@i****l 4
zxoxo45@uni-tuebingen.de t****5@u****n 1
zxoxo45@uni-tuebingen.de t****5@u****n 1
zxoxo45@uni-tuebingen.de t****5@u****n 1

Issue and Pull Request metadata

Last synced: 10 months ago

Total issues: 10
Total pull requests: 5
Average time to close issues: N/A
Average time to close pull requests: 1 minute
Total issue authors: 1
Total pull request authors: 2
Average comments per issue: 0.0
Average comments per pull request: 0.0
Merged pull request: 5
Bot issues: 0
Bot pull requests: 0

Past year issues: 0
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: 0
Past year pull request authors: 0
Past year average comments per issue: 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/aakarsh/rl-llm-calibration-test

Top Issue Authors

  • aakarsh (9)

Top Pull Request Authors

  • ilinkaa (7)
  • aakarsh (1)

Top Issue Labels

Top Pull Request Labels


Dependencies

.github/workflows/docker-image.yml actions
  • actions/checkout v3 composite
Dockerfile docker
  • python 3.9 build
requirements-colab.txt pypi
  • accelerate ==0.28.0
  • bitsandbytes ==0.42.0
  • bitsandbytes-cuda110 ==0.26.0.post2
  • datasets ==2.18.0
  • docker-pycreds ==0.4.0
  • docstring_parser ==0.16
  • evaluate ==0.4.1
  • httpx ==0.26.0
  • huggingface-hub ==0.20.3
  • hydra-core ==1.3.2
  • idna ==3.3
  • intervaltree ==3.1.0
  • multidict ==6.0.5
  • multimethod ==1.8
  • multiprocess ==0.70.16
  • nltk ==3.8.1
  • pip ==23.0.1
  • pluggy ==1.0.0
  • ptyprocess ==0.7.0
  • pycodestyle ==2.7.0
  • pycparser ==2.21
  • pycryptodomex ==3.14.1
  • python-dateutil ==2.8.2
  • python-lsp-black ==1.0.0
  • python-lsp-jsonrpc ==1.0.0
  • python-lsp-server ==1.2.4
  • python-slugify ==5.0.2
  • rope ==0.22.0
  • tiktoken ==0.5.2
  • tokenizers ==0.13.3
  • toml ==0.10.2
  • tomli ==2.0.1
  • toolz ==0.11.2
  • transformers ==4.31.0
  • trl ==0.8.1
  • untokenize ==0.1.1
  • urllib3 ==1.26.11
  • visions ==0.7.4
requirements.txt pypi
  • accelerate ==0.28.0
  • bitsandbytes ==0.42.0
  • bitsandbytes-cuda110 ==0.26.0.post2
  • datasets ==2.18.0
  • docker-pycreds ==0.4.0
  • docstring_parser ==0.16
  • evaluate ==0.4.1
  • httpx ==0.26.0
  • huggingface-hub ==0.20.3
  • hydra-core ==1.3.2
  • idna ==3.3
  • intervaltree ==3.1.0
  • ipykernel ==6.9.1
  • ipython ==8.4.0
  • ipython-genutils ==0.2.0
  • jupyter-client ==6.1.12
  • jupyter-core ==4.10.0
  • jupyter-server ==1.18.1
  • jupyterlab ==3.2.9
  • jupyterlab-pygments ==0.1.2
  • jupyterlab-server ==2.12.0
  • matplotlib ==3.5.1
  • matplotlib-inline ==0.1.2
  • multidict ==6.0.5
  • multimethod ==1.8
  • multiprocess ==0.70.16
  • nbclassic ==0.3.5
  • nbclient ==0.5.13
  • nbconvert ==6.4.4
  • nbformat ==5.3.0
  • nltk ==3.8.1
  • np ==1.0.2
  • numba ==0.55.1
  • numpy ==1.21.6
  • numpydoc ==1.4.0
  • pip ==23.0.1
  • plotly ==5.7.0
  • pluggy ==1.0.0
  • psutil ==5.9.0
  • ptyprocess ==0.7.0
  • pycodestyle ==2.7.0
  • pycparser ==2.21
  • pycryptodomex ==3.14.1
  • pytest ==7.1.1
  • python-dateutil ==2.8.2
  • python-lsp-black ==1.0.0
  • python-lsp-jsonrpc ==1.0.0
  • python-lsp-server ==1.2.4
  • python-slugify ==5.0.2
  • pytz ==2022.1
  • rope ==0.22.0
  • safetensors ==0.4.2
  • scikit-image ==0.19.2
  • scikit-learn ==1.1.1
  • scipy ==1.8.0
  • seaborn ==0.11.2
  • tiktoken ==0.5.2
  • tokenizers ==0.13.3
  • toml ==0.10.2
  • tomli ==2.0.1
  • toolz ==0.11.2
  • torch ==1.13.1
  • torchinfo ==1.7.0
  • torchvision ==0.14.1
  • tornado ==6.1
  • transformers ==4.31.0
  • trl ==0.8.1
  • untokenize ==0.1.1
  • urllib3 ==1.26.11
  • visions ==0.7.4