---
base_model: TeichAI/Qwen3-14B-Claude-4.5-Opus-High-Reasoning-Distill
tags:
- text-generation-inference
- transformers
- unsloth
- qwen3
- mlx
license: apache-2.0
datasets:
- TeichAI/claude-4.5-opus-high-reasoning-250x
pipeline_tag: text-generation
library_name: mlx
---

# leonsarmiento/Qwen3-14B-Claude-4.5-Opus-High-Reasoning-Distill-8bit-mlx

This model [leonsarmiento/Qwen3-14B-Claude-4.5-Opus-High-Reasoning-Distill-8bit-mlx](https://huggingface.co/leonsarmiento/Qwen3-14B-Claude-4.5-Opus-High-Reasoning-Distill-8bit-mlx) was
converted to MLX format from [TeichAI/Qwen3-14B-Claude-4.5-Opus-High-Reasoning-Distill](https://huggingface.co/TeichAI/Qwen3-14B-Claude-4.5-Opus-High-Reasoning-Distill)
using mlx-lm version **0.28.3**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("leonsarmiento/Qwen3-14B-Claude-4.5-Opus-High-Reasoning-Distill-8bit-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
    )

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