MLX-Optimized-Models
Collection
6 items β’ Updated
How to use AlphaOxO/GPT4All-J-MXFP4-mlx with MLX:
# Make sure mlx-lm is installed
# pip install --upgrade mlx-lm
# if on a CUDA device, also pip install mlx[cuda]
# Generate text with mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("AlphaOxO/GPT4All-J-MXFP4-mlx")
prompt = "Once upon a time in"
text = generate(model, tokenizer, prompt=prompt, verbose=True)How to use AlphaOxO/GPT4All-J-MXFP4-mlx with MLX LM:
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "AlphaOxO/GPT4All-J-MXFP4-mlx" --prompt "Once upon a time"
Quantized to MXFP4 format.
Converted from nomic-ai/gpt4all-j using mlx-lm.
The gptj model type is support in lastest mlx-lm offical repo(ml-explore/mlx-lm).
Update at: 2026/09/01
pip install git+https://github.com/ml-explore/mlx-lm.git@f8f0f874ff24110a59389a4e5af701b2b7f44eb1
mlx_lm.generate --model AlphaOxO/GPT4All-J-MXFP4-mlx --prompt "hello"
4-bit
Base model
nomic-ai/gpt4all-j