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myllm decoder-only Transformer implementation.| Item | Value |
|---|---|
| Parameters | 164.5M |
| Architecture | Decoder-only Transformer |
| Context length | 1024 tokens |
| Tokenizer | Byte-level BPE |
| Vocabulary size | 65,536 |
| Layers | 16 |
| Hidden size | 768 |
| Attention heads | 12 |
| FFN size | 3,072 |
| Dataset | Notes |
|---|---|
MK0727/CleanedFineWeb2Edu-jp | Filtered Japanese web corpus |
MK0727/SyntheticTextbook-jp | Synthetic Japanese corpus |
1git clone https://github.com/KeisukeMiyamoto1324/lambda.git
2cd lambda
3python3 -m venv venv
4source venv/bin/activate
5pip3 install -r requirements.txt
6
7python3 src/inference_base/inference_hf.py \
8 --prompt "人工知能とは" \
9 --max-new-tokens 64