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---
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)
```
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