chandan11248/deepseek-innovations-from-scratch
Reverse-engineering how DeepSeek achieved frontier LLM performance at a fraction of the cost — through hands-on PyTorch implementations of MLA, MoE, MTP, RoPE, and quantization.
Stars
—
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Feb 26, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/llm-tools/chandan11248/deepseek-innovations-from-scratch"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Tencent/AngelSlim
Model compression toolkit engineered for enhanced usability, comprehensiveness, and efficiency.
kyo-takano/chinchilla
A toolkit for scaling law research ⚖
nebuly-ai/optimate
A collection of libraries to optimise AI model performances
liyucheng09/Selective_Context
Compress your input to ChatGPT or other LLMs, to let them process 2x more content and save 40%...
antgroup/glake
GLake: optimizing GPU memory management and IO transmission.