G9v3-39A5B — MLX 4bit

Quantized to 4 bits per weight.

Converted from ai9stars/G9v3-39A5B using mlx-lm.

Requirements

The g9v3 model type is support in my mlx-lm fork(AlphaKure/mlx-lm).

Until test finish. I will send a PR to offical repo.

Update at: 2026/09/01

pip install git+https://github.com/AlphaKure/mlx-lm.git@02dc6aa00f9a79cdedd5e48f5ca1a302b4bebcd5

Use

mlx_lm.generate --model AlphaOxO/G9v3-39A5B-4bits-mlx --prompt "hello"
from mlx_lm import load, generate

model, tokenizer = load("AlphaOxO/G9v3-39A5B-4bits-mlx")
prompt = tokenizer.apply_chat_template(
    [{"role": "user", "content": "hello"}], add_generation_prompt=True
)
print(generate(model, tokenizer, prompt=prompt))
Downloads last month
-
Safetensors
Model size
6B params
Tensor type
F32
·
U32
·
MLX
Hardware compatibility
Log In to add your hardware

4-bit

Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for AlphaOxO/G9v3-39A5B-4bits-mlx

Quantized
(2)
this model

Collection including AlphaOxO/G9v3-39A5B-4bits-mlx