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) | |
``` | |