---
language:
- ko
license: gemma
library_name: transformers
pipeline_tag: image-text-to-text
tags:
- darwin
- darwin-v8
- gemma4
- korean
- administrative-ai
- public-sector
- government
- multimodal
- image-text-to-text
- reasoning
- thinking
- conversational
- gpqa
- benchmark
- leaderboard
- k-ai
- k-ai-leaderboard
- vidraft
- jgos
- text-generation
- ffn-transfer
- model-merge
- mlx
- mlx-my-repo
base_model: JGOS-Model/JGOS-31B-Citizen
---

# usermma/JGOS-31B-Citizen-mlx-2Bit

The Model [usermma/JGOS-31B-Citizen-mlx-2Bit](https://huggingface.co/usermma/JGOS-31B-Citizen-mlx-2Bit) was converted to MLX format from [JGOS-Model/JGOS-31B-Citizen](https://huggingface.co/JGOS-Model/JGOS-31B-Citizen) using mlx-lm version **0.31.2**.

## Use with mlx

```bash
pip install mlx-lm
```

```python
from mlx_lm import load, generate

model, tokenizer = load("usermma/JGOS-31B-Citizen-mlx-2Bit")

prompt="hello"

if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, tokenize=False, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)
```