Nex-N2-mini MLX-VLM Quantized
Collection
5 items • Updated • 2
How to use joowon-jang/Nex-N2-mini-MLX-VLM-4bit with MLX:
# Make sure mlx-vlm is installed
# pip install --upgrade mlx-vlm
from mlx_vlm import load, generate
from mlx_vlm.prompt_utils import apply_chat_template
from mlx_vlm.utils import load_config
# Load the model
model, processor = load("joowon-jang/Nex-N2-mini-MLX-VLM-4bit")
config = load_config("joowon-jang/Nex-N2-mini-MLX-VLM-4bit")
# Prepare input
image = ["http://images.cocodataset.org/val2017/000000039769.jpg"]
prompt = "Describe this image."
# Apply chat template
formatted_prompt = apply_chat_template(
processor, config, prompt, num_images=1
)
# Generate output
output = generate(model, processor, formatted_prompt, image)
print(output)How to use joowon-jang/Nex-N2-mini-MLX-VLM-4bit with Pi:
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "joowon-jang/Nex-N2-mini-MLX-VLM-4bit"
# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
"providers": {
"mlx-lm": {
"baseUrl": "http://localhost:8080/v1",
"api": "openai-completions",
"apiKey": "none",
"models": [
{
"id": "joowon-jang/Nex-N2-mini-MLX-VLM-4bit"
}
]
}
}
}# Start Pi in your project directory: pi
How to use joowon-jang/Nex-N2-mini-MLX-VLM-4bit with Hermes Agent:
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "joowon-jang/Nex-N2-mini-MLX-VLM-4bit"
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default joowon-jang/Nex-N2-mini-MLX-VLM-4bit
hermes
Native MLX-VLM 4-bit quantized version of nex-agi/Nex-N2-mini.
nex-agi/Nex-N2-miniThis version is intended as the general stable release. It is compatible with direct mlx-vlm.generate loading.
python3 -m mlx_vlm.generate \
--model joowon-jang/Nex-N2-mini-MLX-VLM-4bit \
--image /path/to/image.jpg \
--prompt "Describe this image in one sentence." \
--max-tokens 128 \
--temp 0.0
For oMLX Native MTP speculative decoding, use:
joowon-jang/Nex-N2-mini-MLX-VLM-4bit-MTP
Apache-2.0, following the base model license.
4-bit
Base model
nex-agi/Nex-N2-mini