---
library_name: transformers
license: mit
datasets:
- AhmedSSabir/Japanese-wiki-dump-sentence-dataset
language:
- en
- ja
base_model:
- Qwen/Qwen3-0.6B
pipeline_tag: text-generation
---

# GEN-1
![logo](https://huggingface.co/Ichi075/GEN-1/resolve/main/Frame%207.png)
## About GEN-1
Model with about 600 million parameters.  
Japanese-specific SLM.

## How to use
```py
from transformers import pipeline

pipe = pipeline("text-generation", model="Ichi075/GEN-1")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)
```
```py
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Ichi075/GEN-1")
model = AutoModelForCausalLM.from_pretrained("Ichi075/GEN-1")
```