---
license: cc-by-sa-4.0
datasets:
- izumi-lab/llm-japanese-dataset
language:
- ja
tags:
- llama
- causal-lm
---

This repo contains a low-rank adapter for [CALM](https://huggingface.co/cyberagent/open-calm-7b)
fit on the dataset specially extracted from [llm-japanese-dataset](https://github.com/masanorihirano/llm-japanese-dataset).

You can test this at https://huggingface.co/spaces/izumi-lab/stormy-7b-10ep

This version of the weights was trained with the following hyperparameters:

- Epochs: 10
- Batch size: 130
- Cutoff length: 256
- Learning rate: 3e-4
- Lora _r_: 4
- Lora target modules: q_proj, v_proj

```python
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel

base_model = "cyberagent/open-calm-7b"
model = AutoModelForCausalLM.from_pretrained(base_model, torch_dtype=torch.float16)
tokenizer = AutoTokenizer.from_pretrained(base_model)
model = PeftModel.from_pretrained(
    model,
    "izumi-lab/stormy-7b-10ep",
    torch_dtype=torch.float16,
)
```

To see more latest information, please go to [llm.msuzuki.me](https://llm.msuzuki.me).

## Details

- Japanese Paper: 
- English Paper: 
- Website: [llm.msuzuki.me](https://llm.msuzuki.me).

Citation: TBD

If you have any inquiries, such as joint research, data provision, various types of support, please email izumi-llm@socsim.org .