Text Generation
MLX
Safetensors
English
Chinese
qwen3_5_moe
mlx-lm
4-bit precision
long-context
256k-context
Mixture of Experts
conversational
Instructions to use abenzerps/Nex-N2.5-mini-MLX-4bit 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-4bit 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-4bit") 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-4bit 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-4bit"
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-4bit" } ] } } }Run Pi
# Start Pi in your project directory: pi
- MLX LM
How to use abenzerps/Nex-N2.5-mini-MLX-4bit 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-4bit"
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-4bit" # 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-4bit", "messages": [ {"role": "user", "content": "Hello"} ] }' - Hermes Agent
How to use abenzerps/Nex-N2.5-mini-MLX-4bit 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-4bit"
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-4bit
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use abenzerps/Nex-N2.5-mini-MLX-4bit 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-4bit"
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-4bit" \ --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"
| fbc88ddf0c6381c91126beedb75eb83c84461f282b4bf239ba2702d3eb51ffdb ./README.md | |
| 007fdc6302c9be799e145629fc02062a527075a9d5610a0dd41139a5750003f5 ./assets/Nex-N2.5-Benchmark-white.png | |
| f1753536417ee87cded4bc5017354eb2123c079d20c634403a3d808b2ba3cc5b ./chat_template.jinja | |
| b09ec0939a1873574a489602b87847998e6e005cc65a158ccf01baa16daa95f6 ./config.json | |
| 0b8de4501c510548e294ffcabd4d81dc4e769bcc3dc1ebb145f4826d147c914e ./model-00001-of-00004.safetensors | |
| b7d79a87c5039bc05dc15b4f4363de8a660b2b060669cd3ea34722e414e540e1 ./model-00002-of-00004.safetensors | |
| 2951709e94d62f0d0245bcdcab12bdaad6323b67da6ce56946b9a32ca21e1549 ./model-00003-of-00004.safetensors | |
| 5754a905a4f1a92c6561a75dd60b838c2240462164a9b19da36fc2f09ad280f3 ./model-00004-of-00004.safetensors | |
| c118f13c0dcb729e4ca2e3d653ab193067551eb1a6410badb5192eb426104f36 ./model.safetensors.index.json | |
| 87a7830d63fcf43bf241c3c5242e96e62dd3fdc29224ca26fed8ea333db72de4 ./tokenizer.json | |
| 970d4874c33b6624b3b979e5c3e55b777e77c1e6a115e985b202c8225fc81afd ./tokenizer_config.json | |