DLLXW/baby-llama2-chinese resource

Health v2 · maintenance only

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2923 stars · 354 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

An educational Python repository for pretraining and SFT fine-tuning a small (92M-218M parameter) Chinese Llama2 model from scratch, runnable on a single 24GB GPU. It also curates a complete set of LLM learning materials covering the full pipeline from pretraining to instruction tuning.

Use cases

• pretrain a small chinese llama2 model from scratch
• learn how llm pretraining and sft work
• fine-tune a chinese chat model on a single gpu
• train a domain-specific chinese chatbot like medical qa
• clean and deduplicate chinese pretraining corpora
• run inference with a trained llama2 checkpoint

When to choose

• you want to learn the full LLM training pipeline hands-on
• you have limited compute (one 24GB GPU) and want a small Chinese chat model
• you need an educational codebase with Chinese pretraining and SFT data recipes

When to avoid

• you need a production-grade large Chinese LLM with strong general capabilities
• you want ready-made inference without training
• you require the full RLHF/reward-model pipeline, which is not yet implemented

Facets

learning-resource · maturity active

llm-training llm-inference machine-learning deep-learning data-science large-language-models machine-learning education tutorials python cross-platform llama2 chinese-llm pretraining sft from-scratch single-gpu educational chatglm-tokenizer reinforcement-learning natural-language-processing gpu linux

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