Text Generation
MLX
Safetensors
English
Chinese
qwen3_5_moe
mlx-lm
6-bit
long-context
256k-context
Mixture of Experts
conversational
Instructions to use abenzerps/Nex-N2.5-mini-MLX-6bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use abenzerps/Nex-N2.5-mini-MLX-6bit with MLX:
# 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("abenzerps/Nex-N2.5-mini-MLX-6bit") 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) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Pi
How to use abenzerps/Nex-N2.5-mini-MLX-6bit with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "abenzerps/Nex-N2.5-mini-MLX-6bit"
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": "abenzerps/Nex-N2.5-mini-MLX-6bit" } ] } } }Run Pi
# Start Pi in your project directory: pi
- MLX LM
How to use abenzerps/Nex-N2.5-mini-MLX-6bit with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "abenzerps/Nex-N2.5-mini-MLX-6bit"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "abenzerps/Nex-N2.5-mini-MLX-6bit" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "abenzerps/Nex-N2.5-mini-MLX-6bit", "messages": [ {"role": "user", "content": "Hello"} ] }' - Hermes Agent
How to use abenzerps/Nex-N2.5-mini-MLX-6bit 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 "abenzerps/Nex-N2.5-mini-MLX-6bit"
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 abenzerps/Nex-N2.5-mini-MLX-6bit
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use abenzerps/Nex-N2.5-mini-MLX-6bit with OpenClaw:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "abenzerps/Nex-N2.5-mini-MLX-6bit"
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 "abenzerps/Nex-N2.5-mini-MLX-6bit" \ --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"
| e2b2b0f5503c547607cee6098ca42043740491564ce6e70e531c93c5c39dd645 ./README.md | |
| 007fdc6302c9be799e145629fc02062a527075a9d5610a0dd41139a5750003f5 ./assets/Nex-N2.5-Benchmark-white.png | |
| f1753536417ee87cded4bc5017354eb2123c079d20c634403a3d808b2ba3cc5b ./chat_template.jinja | |
| 4e55afade37c580d49a6d2aba81c710d2e00ab839cbdbd25d9e7594d10ad60a5 ./config.json | |
| 1c59fcdcd1842fc537df74042026b049af099220417e8a02d6f10f28f1935db7 ./model-00001-of-00006.safetensors | |
| 04d8c2446233423e5e96afd3f764941dd95cc31d468f415b819df9c4c5e2543c ./model-00002-of-00006.safetensors | |
| 75ab0625f834c1073a1347d4ec5eba957c5e352c2bbb603c5c2b46486210db1e ./model-00003-of-00006.safetensors | |
| 55d0bc93af22755fb4a63f5f90ea154a993c1e6d3a80b9e4004c722db310f9c9 ./model-00004-of-00006.safetensors | |
| 9929ff09383ef255a94b0771ffd58da3d88a69a224f68a2b389cec7feefd5144 ./model-00005-of-00006.safetensors | |
| fd2469ca63e928376c4349e4de5fa5de6e3e18d76dc9bede0866326c72541959 ./model-00006-of-00006.safetensors | |
| a742ab24c083e72ea3eeb73bf7ed9027d61e0556ef246d9e0001aa44df5e1d11 ./model.safetensors.index.json | |
| 87a7830d63fcf43bf241c3c5242e96e62dd3fdc29224ca26fed8ea333db72de4 ./tokenizer.json | |
| 970d4874c33b6624b3b979e5c3e55b777e77c1e6a115e985b202c8225fc81afd ./tokenizer_config.json | |