Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (0.4%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: Stycoo
  • License: apache-2.0
  • Language: Python
  • Default Branch: main
  • Size: 27.6 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 1 year ago · Last pushed about 1 year ago
Metadata Files
Readme License Citation

README.md

Model-Fusion

Owner

  • Login: Stycoo
  • Kind: user

Citation (CITATION.cff)

cff-version: 1.2.0
date-released: 2024-03
message: "If you use this software, please cite it as below."
authors:
- family-names: "Zheng"
  given-names: "Yaowei"
- family-names: "Zhang"
  given-names: "Richong"
- family-names: "Zhang"
  given-names: "Junhao"
- family-names: "Ye"
  given-names: "Yanhan"
- family-names: "Luo"
  given-names: "Zheyan"
- family-names: "Feng"
  given-names: "Zhangchi"
- family-names: "Ma"
  given-names: "Yongqiang"
title: "LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models"
url: "https://arxiv.org/abs/2403.13372"
preferred-citation:
  type: conference-paper
  conference:
    name: "Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)"
  authors:
    - family-names: "Zheng"
      given-names: "Yaowei"
    - family-names: "Zhang"
      given-names: "Richong"
    - family-names: "Zhang"
      given-names: "Junhao"
    - family-names: "Ye"
      given-names: "Yanhan"
    - family-names: "Luo"
      given-names: "Zheyan"
    - family-names: "Feng"
      given-names: "Zhangchi"
    - family-names: "Ma"
      given-names: "Yongqiang"
  title: "LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models"
  url: "https://arxiv.org/abs/2403.13372"
  year: 2024
  publisher: "Association for Computational Linguistics"
  address: "Bangkok, Thailand"

GitHub Events

Total
  • Push event: 6
  • Create event: 4
Last Year
  • Push event: 6
  • Create event: 4

Dependencies

docker/docker-cuda/Dockerfile docker
  • ${BASE_IMAGE} latest build
docker/docker-cuda/docker-compose.yml docker
docker/docker-npu/Dockerfile docker
  • ascendai/cann 8.0.rc1-910b-ubuntu22.04-py3.8 build
docker/docker-npu/docker-compose.yml docker
docker/docker-rocm/Dockerfile docker
  • hardandheavy/transformers-rocm 2.2.0 build
docker/docker-rocm/docker-compose.yml docker
deepscaler-release/setup.py pypi
  • flash_attn ==2.7.3
  • google-cloud-aiplatform *
  • latex2sympy2 *
  • pylatexenc *
  • sentence_transformers *
  • tabulate *
deepscaler-release/verl/docs/requirements-docs.txt pypi
  • recommonmark *
  • sphinx-markdown-tables *
  • sphinx-rtd-theme *
deepscaler-release/verl/pyproject.toml pypi
  • accelerate *
  • codetiming *
  • datasets *
  • dill *
  • hydra-core *
  • numpy *
  • pybind11 *
  • ray *
  • tensordict *
  • transformers <4.48
  • vllm <=0.6.3
deepscaler-release/verl/requirements.txt pypi
  • accelerate *
  • codetiming *
  • datasets *
  • dill *
  • hydra-core *
  • numpy *
  • pandas *
  • peft *
  • pyarrow >=15.0.0
  • pybind11 *
  • ray >=2.38
  • tensordict <0.6
  • transformers <4.48
  • vllm <=0.6.3
  • wandb *
deepscaler-release/verl/setup.py pypi
  • item.strip *
pyproject.toml pypi
requirements.txt pypi
  • accelerate >=0.34.0,<=1.0.1
  • av *
  • datasets >=2.16.0,<=3.1.0
  • einops *
  • fastapi *
  • fire *
  • gradio >=4.0.0,<5.0.0
  • matplotlib >=3.7.0
  • numpy <2.0.0
  • packaging *
  • pandas >=2.0.0
  • peft >=0.11.1,<=0.12.0
  • protobuf *
  • pydantic *
  • pyyaml *
  • scipy *
  • sentencepiece *
  • sse-starlette *
  • tiktoken *
  • transformers >=4.41.2,<=4.46.1
  • trl >=0.8.6,<=0.9.6
  • tyro <0.9.0
  • uvicorn *
setup.py pypi