---
language:
- ja
library_name: transformers
tags:
- myllm
- causal-lm
- custom-code
- safetensors
pipeline_tag: text-generation
---

# lambda-1-160m-base

lambda-1-160m-base is an experimental language model created with a custom `myllm` decoder-only Transformer implementation.

All training code is publicly available at [KeisukeMiyamoto1324/myllm](https://github.com/KeisukeMiyamoto1324/myllm).

## Model Details

| 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 |

## Training Data

The model was pretrained on a Japanese text mixture.

| Dataset | Notes |
|---|---|
| `MK0727/CleanedFineWeb2Edu-jp` | Filtered Japanese web corpus |
| `MK0727/SyntheticTextbook-jp` | Synthetic Japanese corpus |

## Usage
```bash
git clone https://github.com/KeisukeMiyamoto1324/lambda.git
cd lambda
python3 -m venv venv
source venv/bin/activate
pip3 install -r requirements.txt

python3 src/inference_base/inference_hf.py \
  --prompt "人工知能とは" \
  --max-new-tokens 64
```


## Limitations

This model is not instruction-tuned or safety-aligned. It may generate incorrect, biased, unsafe, or low-quality text.

The model was trained on a limited Japanese corpus mixture and has not been evaluated on standard benchmarks.