---
license: apache-2.0
base_model: DavidAU/Granite-4.1-30B-Claude-4.6-Opus-Thinking-Charles-Xavier
pipeline_tag: text-generation
library_name: transformers
tags:
- finetune
- unsloth
- granite-4.1
- reasoning
- thinking
- mlx
- mlx-my-repo
---

# usermma/Granite-4.1-30B-Claude-4.6-Opus-Thinking-Charles-Xavier-mlx-fp16

The Model [usermma/Granite-4.1-30B-Claude-4.6-Opus-Thinking-Charles-Xavier-mlx-fp16](https://huggingface.co/usermma/Granite-4.1-30B-Claude-4.6-Opus-Thinking-Charles-Xavier-mlx-fp16) was converted to MLX format from [DavidAU/Granite-4.1-30B-Claude-4.6-Opus-Thinking-Charles-Xavier](https://huggingface.co/DavidAU/Granite-4.1-30B-Claude-4.6-Opus-Thinking-Charles-Xavier) 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/Granite-4.1-30B-Claude-4.6-Opus-Thinking-Charles-Xavier-mlx-fp16")

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)
```
