Downloads · 30 days
41
8% of all-time downloads
andosen/Qwen3-Coder-Next-REAP-48B-A3B-mlx-5Bit
Qwen3-Coder-Next-REAP-48B-A3B-mlx-5Bit is a machine learning model from andosen. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for mlx. The card lists the license as apache-2.0.
The Model andosen/Qwen3-Coder-Next-REAP-48B-A3B-mlx-5Bit was converted to MLX format from andosen/Qwen3-Coder-Next-REAP-48B-A3B using mlx-lm version 0.31.2.
Downloads · 30 days
41
8% of all-time downloads
All-time downloads
507
Public
Parameters
48.9B
33.6 GB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors33.6 GB · 100%
How the weights are stored.
U3248.8B · 100%
From the Hugging Face model README
The Model andosen/Qwen3-Coder-Next-REAP-48B-A3B-mlx-5Bit was converted to MLX format from andosen/Qwen3-Coder-Next-REAP-48B-A3B using mlx-lm version 0.31.2.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("andosen/Qwen3-Coder-Next-REAP-48B-A3B-mlx-5Bit")
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)