Instructions to use TokenAI-zer/Nex-N2.5-mini-oQ5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use TokenAI-zer/Nex-N2.5-mini-oQ5 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("TokenAI-zer/Nex-N2.5-mini-oQ5")
config = load_config("TokenAI-zer/Nex-N2.5-mini-oQ5")

# 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)

Notebooks
Google Colab
Kaggle
Local Apps Settings
LM Studio

How to use TokenAI-zer/Nex-N2.5-mini-oQ5 with Pi:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "TokenAI-zer/Nex-N2.5-mini-oQ5"

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "mlx-lm": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "TokenAI-zer/Nex-N2.5-mini-oQ5"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent

How to use TokenAI-zer/Nex-N2.5-mini-oQ5 with Hermes Agent:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "TokenAI-zer/Nex-N2.5-mini-oQ5"

Configure Hermes

# 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 TokenAI-zer/Nex-N2.5-mini-oQ5

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use TokenAI-zer/Nex-N2.5-mini-oQ5 with OpenClaw:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "TokenAI-zer/Nex-N2.5-mini-oQ5"

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "TokenAI-zer/Nex-N2.5-mini-oQ5" \
  --custom-provider-id mlx-lm \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

Nex-N2.5-mini-oQ5 / NOTICE

TokenAIzer

Publish Nex-N2.5-mini-oQ5 MLX quantization with model card and license

fb39c47 verified 13 days ago

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508 Bytes

	Nex-N2.5-mini-oQ5

	This repository contains an unofficial MLX quantization of
	nex-agi/Nex-N2.5-mini:
	https://huggingface.co/nex-agi/Nex-N2.5-mini

	Original model: Nex AGI. The upstream repository declares Apache License 2.0.
	Modification: the model weights were converted to mixed 5/6/8-bit MLX affine
	quantization (group size 64), with the vision tensors retained in BF16.
	The model card for this quantized repository was written separately.

	The included LICENSE file contains the Apache License 2.0 text.