How to use from the
Use from the
MLX library
# Make sure mlx-lm is installed
# pip install --upgrade mlx-lm

# Generate text with mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("RepublicOfKorokke/Jan-v3-4B-base-instruct-mlx-nvfp4")

prompt = "Write a story about Einstein"
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
    messages, add_generation_prompt=True
)

text = generate(model, tokenizer, prompt=prompt, verbose=True)

This model was converted to MLX format from janhq/Jan-v3-4B-base-instruct using mlx-lm version 0.30.5.

Conversion Command

$ uv run mlx_lm.convert --hf-path janhq/Jan-v3-4B-base-instruct --mlx-path Jan-v3-4B-base-instruct-mlx-nvfp4 -q --q-mode nvfp4 --q-group-size 16

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