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datawhalechina/self-llm

stable

《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调(全参数/Lora)、部署国内外开源大模型(LLM)/多模态大模型(MLLM)教程

chatglmchatglm3gemma-2b-itglm-4internlm2llama3llmlora
Velocity score
1.07/ 10
[STARS]
30k
[FORKS]
3.0k
[CONTRIBUTORS]
90
[LAST_COMMIT]
16d ago
OPEN_ON_GITHUB
Velocity class: stable
30-day stars
1.07/ 10 score
last 90d
[SIGNAL_TRACE / 90_PT]
Score breakdown
740/ 1000
fine-tuning · datawhalechina/self-llm
Velocity50%
Adoption30%
Maintenance15%
Community5%
[CODE_GROWTH]
935
[INSTALL_VEL]
500
[ACTIVITY]
484
[COMMUNITY_SIGNAL]
1000

Terminal score: 0–1000 raw, weighted across 4 dimensions. Public score: 0–10 normalized (shown in the 30-day stars chart above).

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