LUNA-100M Program
Collection
LUNA-100M by ASTERIZER: 4.5B-token pretraining corpus + RAG/MCP SFT dataset + model. Compact, English-first, agent-era AI. • 6 items • Updated
LUNA-Training — SFT & LoRA Recipes for LUNA-100M
This repository is the supervised fine-tuning workspace for the LUNA-100M model. It contains the SFT/LoRA training code, configuration files, and the RAG + MCP dataset build pipeline used to produce the trained sft_v1 / luna_100m_sft checkpoints.
Contents
| Path | Description |
|---|---|
train.py |
Base pretraining trainer (shared with the LUNA workspace) |
sft_train.py |
Full supervised fine-tuning trainer |
lora_sft_train.py |
LoRA SFT trainer (RAG+MCP adapter runs) |
lora_chat.py / chat.py / chat_full_sft.py / generate.py |
Inference / chat entry points |
validate_sft.py / validate_and_quantize.py |
Eval + quantization (incl. GGUF export) |
rag_mcp_lora_config.yaml / rag_mcp_full_sft_config.yaml |
RAG + MCP SFT recipes |
sft_config.yaml / train_config.yaml |
Base SFT / pretrain configs |
push_*_to_hf.py |
Upload helpers (code / dataset / model / LoRA) |
Base/Datasets/rag_mcp_sft/ |
RAG + MCP SFT dataset builder + reports |
Base/checkpoints/EleutherAI/pythia-160m/ |
LUNA tokenizer (vocab 50,254) |
Related
- Model: ASTERIZER/LUNA-100M
- SFT dataset: ASTERIZER/LUNA-RAG-MCP-SFT-10M
- Pretrain corpus: ASTERIZER/LUNA_PreTrain
- Program collection: LUNA-100M Program
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