Downloads · 30 days
49
6% of all-time downloads
Qwen2.5-Coder-0.5B-Instruct-4bit
SwinliQ-AIn/Qwen2.5-Coder-0.5B-Instruct-4bit
Qwen2.5-Coder-0.5B-Instruct-4bit is a text generation model from SwinliQ-AIn. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
The Model mlx-community/Qwen2.5-Coder-0.5B-Instruct-4bit was converted to MLX format from Qwen/Qwen2.5-Coder-0.5B-Instruct using mlx-lm version 0.19.3.
All-time downloads
860
Public
Parameters
494M
278 MB on disk
Likes
1
Public
Repo makeup
Click a slice to open those files.
.safetensors278 MB · 96%
Parameter types
How the weights are stored.
U32494M · 100%
Try a prompt
Base models
Model card
From the Hugging Face model README
mlx-community/Qwen2.5-Coder-0.5B-Instruct-4bit
The Model mlx-community/Qwen2.5-Coder-0.5B-Instruct-4bit was converted to MLX format from Qwen/Qwen2.5-Coder-0.5B-Instruct using mlx-lm version 0.19.3.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/Qwen2.5-Coder-0.5B-Instruct-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
- License
- apache-2.0
- Languages
- en
- Created
- Jul 26, 2026
- Updated
- Jul 26, 2026