Downloads · 30 days
78
9% of all-time downloads
QwQ-Qwen2.5-Coder-Instruct-32B-4bit
mlx-community/QwQ-Qwen2.5-Coder-Instruct-32B-4bit
QwQ-Qwen2.5-Coder-Instruct-32B-4bit is a text generation model from mlx-community. Use it when you need the model to write or continue text. It is set up for transformers.
The Model bobig/QwQ-Qwen2.5-Coder-Instruct-32B-4bit was converted to MLX format from sm54/QwQ-Qwen2.5-Coder-Instruct-32B using mlx-lm version 0.21.5.
All-time downloads
846
Public
Parameters
32.8B
18.4 GB on disk
Likes
1
Public
Repo makeup
Click a slice to open those files.
.safetensors18.4 GB · 100%
Parameter types
How the weights are stored.
U3232.8B · 100%
Try a prompt
Base models
Model card
From the Hugging Face model README
bobig/QwQ-Qwen2.5-Coder-Instruct-32B-4bit
The Model bobig/QwQ-Qwen2.5-Coder-Instruct-32B-4bit was converted to MLX format from sm54/QwQ-Qwen2.5-Coder-Instruct-32B using mlx-lm version 0.21.5.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("bobig/QwQ-Qwen2.5-Coder-Instruct-32B-4bit")
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)
- Task
- Text Generation
- Library
- transformers
- Type
- qwen2
- Created
- Mar 9, 2025
- Updated
- Mar 9, 2025