---
license: apache-2.0
language:
- en
- zh
tags:
- unsloth
- QiMing
- vllm
- sales
- b2b
- Strategist
- saas
- fine-tuned
- instruction-following
- role-playing
- cognitive-simulator
- mlx
- mlx-my-repo
pipeline_tag: text-generation
model_name: QiMing-Strategist-20B
library_name: transformers
base_model: aifeifei798/QiMing-Strategist-20B-MXFP4
---

# Wwayu/QiMing-Strategist-20B-MXFP4-mlx-8Bit

The Model [Wwayu/QiMing-Strategist-20B-MXFP4-mlx-8Bit](https://huggingface.co/Wwayu/QiMing-Strategist-20B-MXFP4-mlx-8Bit) was converted to MLX format from [aifeifei798/QiMing-Strategist-20B-MXFP4](https://huggingface.co/aifeifei798/QiMing-Strategist-20B-MXFP4) using mlx-lm version **0.26.4**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("Wwayu/QiMing-Strategist-20B-MXFP4-mlx-8Bit")

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)
```