Downloads · 30 days
70
12% of all-time downloads
GreenBitAI/Qwen3.5-4B-layer-mix-bpw-4.5-mlx
Qwen3.5-4B-layer-mix-bpw-4.5-mlx is a machine learning model from GreenBitAI. 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.
This quantized low-bit model GreenBitAI/Qwen3.5-4B-layer-mix-bpw-4.5-mlx was converted to MLX format from GreenBitAI/Qwen3.5-4B-layer-mix-bpw-4.5 using gbx-lm version 0.4.2. Refer to the original model card for more d…
Downloads · 30 days
70
12% of all-time downloads
All-time downloads
574
Public
Parameters
1.5B
10.4 GB on disk
Likes
0
Public
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.safetensors3.9 GB · 99%
How the weights are stored.
BF161B · 70%
From the Hugging Face model README
This quantized low-bit model GreenBitAI/Qwen3.5-4B-layer-mix-bpw-4.5-mlx was converted to MLX format from GreenBitAI/Qwen3.5-4B-layer-mix-bpw-4.5 using gbx-lm version 0.4.2.
Refer to the original model card for more details on the model.
pip install gbx-lm
from gbx_lm import load, generate
model, tokenizer = load("GreenBitAI/Qwen3.5-4B-layer-mix-bpw-4.5-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)