pprp/smol_training_zh
《Smol 训练手册》:打造世界级大模型的秘诀
This handbook guides you through the complex process of training a world-class large language model (LLM), moving beyond academic theories to real-world challenges. It takes you behind the scenes of developing a model like SmolLM3, detailing data handling, infrastructure setup, hyperparameter tuning, and post-training steps. This resource is for AI researchers, engineers, and product managers who need to build or strategically customize powerful AI models for unique challenges.
Use this if you are contemplating building a custom large language model from scratch or continuing pre-training to meet specific research, production, or strategic open-source goals, and need practical guidance beyond theoretical papers.
Not ideal if you can solve your problem by simply using existing open-source models through prompting or fine-tuning, as this guide focuses on the intensive process of building and optimizing a new LLM.
Stars
9
Forks
—
Language
Shell
License
—
Category
Last pushed
Nov 24, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/llm-tools/pprp/smol_training_zh"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Lightning-AI/litgpt
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
liangyuwang/Tiny-DeepSpeed
Tiny-DeepSpeed, a minimalistic re-implementation of the DeepSpeed library
catherinesyeh/attention-viz
Visualizing query-key interactions in language + vision transformers (VIS 2023)
microsoft/Text2Grad
🚀 Text2Grad: Converting natural language feedback into gradient signals for precise model...
FareedKhan-dev/Building-llama3-from-scratch
LLaMA 3 is one of the most promising open-source model after Mistral, we will recreate it's...