---
library_name: mlx
base_model: DavidAU/Mistral-Nemo-Instruct-2407-12B-Thinking-HI-Claude-Opus-High-Reasoning
datasets:
- TeichAI/claude-4.5-opus-high-reasoning-250x
language:
- en
- fr
- de
- es
- it
- pt
- ru
- zh
- ja
tags:
- finetune
- creative
- creative writing
- fiction writing
- plot generation
- sub-plot generation
- story generation
- scene continue
- storytelling
- fiction story
- science fiction
- romance
- all genres
- story
- writing
- vivid prose
- vivid writing
- fiction
- roleplaying
- bfloat16
- swearing
- rp
- mistral nemo
- nemo
- horror
- unsloth
- context 128k-256k
- mlx
pipeline_tag: text-generation
---

# Mistral-Nemo-Instruct-2407-12B-Thinking-HI-Claude-Opus-High-Reasoning-qx86-hi-mlx

This model [Mistral-Nemo-Instruct-2407-12B-Thinking-HI-Claude-Opus-High-Reasoning-qx86-hi-mlx](https://huggingface.co/Mistral-Nemo-Instruct-2407-12B-Thinking-HI-Claude-Opus-High-Reasoning-qx86-hi-mlx) was
converted to MLX format from [DavidAU/Mistral-Nemo-Instruct-2407-12B-Thinking-HI-Claude-Opus-High-Reasoning](https://huggingface.co/DavidAU/Mistral-Nemo-Instruct-2407-12B-Thinking-HI-Claude-Opus-High-Reasoning)
using mlx-lm version **0.30.2**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("Mistral-Nemo-Instruct-2407-12B-Thinking-HI-Claude-Opus-High-Reasoning-qx86-hi-mlx")

prompt = "hello"

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

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