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updated 2d ago
Python · CC-BY-4.0

Enping-Hu/minimind-deep-dive

从 MiniMind 源码读起,再延伸到现代大模型技术体系的中文学习笔记。主线逐行精读预训练 / SFT / DPO / PPO / GRPO 与训练机制;附录 17 篇进阶卷覆盖量化、投机解码、RLHF 全景、模型代际史等 MiniMind 没涉及、但进阶绕不开的主题。

★ 217
Stars
14 forks · 1 open issues
flat
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
20.5
Momentum / 100
see the breakdown below
4mo ago
Created
last push 18d ago

Star history

2026-10-10 224 → 217 stars -7 over 26 days 2026-11-05

How this score was built

ComponentWeightEarnedWhy
Velocity550.0 flat, log-scaled against a 750/day ceiling
Acceleration150.0 needs 7-day and 30-day rates side by side
Freshness1513.7 last push 18d ago; decays to zero at 180 days
Scale156.8 217 stars, log-scaled against 150k — stops a 3-star repo topping the board
Momentum10020.5 sum of the above

Detail

Topicsdeep-learningdpofine-tuningfrom-scratchgrpolarge-language-modelsllmllm-trainingminimindmoenlpppopretrainingpytorchrlhfropestudy-notestransformer
Matched onLLM & Inference (fine-tuning, large-language-models)
Short window+0 stars over 7 days = 0.0/day
Long window+-7 stars over 26 days = -0.3/day
Lifetime average1.56 stars/day over 139 days
First seen here2026-10-11
Last read2d ago