c0a83e4ed5d6b5b7b9e73b96cea2737dfbee21c6
Model: mlx-community/Qwen3-4B-Thinking-2507-fp16 Source: Original Platform
library_name, license, license_link, pipeline_tag, tags, base_model
| library_name | license | license_link | pipeline_tag | tags | base_model | |
|---|---|---|---|---|---|---|
| transformers | apache-2.0 | https://huggingface.co/Qwen/Qwen3-4B-Thinking-2507/blob/main/LICENSE | text-generation |
|
Qwen/Qwen3-4B-Thinking-2507 |
mlx-community/Qwen3-4B-Thinking-2507-fp16
The Model mlx-community/Qwen3-4B-Thinking-2507-fp16 was converted to MLX format from Qwen/Qwen3-4B-Thinking-2507 using mlx-lm version 0.26.4.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/Qwen3-4B-Thinking-2507-fp16")
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)
Description
Languages
Jinja
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