README.md

metadata

license: apache-2.0
language:
  - zh
  - en
tags:
  - qwen
  - sales
  - unsloth
  - lora
  - logic-tuning
  - strategic-thinking
  - mlx
base_model: aifeifei798/Qwen3-4B-Thinking-2507-Sales-Strategist-v1
library_name: mlx
pipeline_tag: text-generation

Qwen3-4B-Thinking-2507-Sales-Strategist-v1-dwq4-mlx

This model Qwen3-4B-Thinking-2507-Sales-Strategist-v1-dwq4-mlx was converted to MLX format from aifeifei798/Qwen3-4B-Thinking-2507-Sales-Strategist-v1 using mlx-lm version 0.26.3.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("Qwen3-4B-Thinking-2507-Sales-Strategist-v1-dwq4-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)