---
base_model: FluffyKaeloky/Luminum-v0.1-123B
library_name: transformers
tags:
- mergekit
- merge
- mlx
---

# shanginn/Luminum-v0.1-123B-mlx-quantized-2bit

The Model [shanginn/Luminum-v0.1-123B-mlx-quantized-2bit](https://huggingface.co/shanginn/Luminum-v0.1-123B-mlx-quantized-2bit) was converted to MLX format from [FluffyKaeloky/Luminum-v0.1-123B](https://huggingface.co/FluffyKaeloky/Luminum-v0.1-123B) using mlx-lm version **0.19.2**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("shanginn/Luminum-v0.1-123B-mlx-quantized-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)
```