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---
license: apache-2.0
language:
- zh
- en
tags:
- qwen
- sales
- unsloth
- lora
- logic-tuning
- strategic-thinking
- mlx
library_name: mlx
base_model: aifeifei798/Qwen3-4B-Thinking-2507-Sales-Strategist-v1
pipeline_tag: text-generation
---
# Qwen3-4B-Thinking-2507-Sales-Strategist-v1-bf16-mlx
This model [Qwen3-4B-Thinking-2507-Sales-Strategist-v1-bf16-mlx](https://huggingface.co/Qwen3-4B-Thinking-2507-Sales-Strategist-v1-bf16-mlx) was
converted to MLX format from [aifeifei798/Qwen3-4B-Thinking-2507-Sales-Strategist-v1](https://huggingface.co/aifeifei798/Qwen3-4B-Thinking-2507-Sales-Strategist-v1)
using mlx-lm version **0.26.3**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("Qwen3-4B-Thinking-2507-Sales-Strategist-v1-bf16-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)
```