MLX
Safetensors
gemma4
Merge
mergekit
reasoning
non-reasoning
creative writing
roleplay
conversational
uncensored
31B
gemma-4
mlx-my-repo
4-bit precision
Instructions to use ailexleon/Versipellis-31B-mlx-4Bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use ailexleon/Versipellis-31B-mlx-4Bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Versipellis-31B-mlx-4Bit ailexleon/Versipellis-31B-mlx-4Bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Pi
How to use ailexleon/Versipellis-31B-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 "ailexleon/Versipellis-31B-mlx-4Bit"
Configure the model in Pi
# 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": "ailexleon/Versipellis-31B-mlx-4Bit" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use ailexleon/Versipellis-31B-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 "ailexleon/Versipellis-31B-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 ailexleon/Versipellis-31B-mlx-4Bit
Run Hermes
hermes
- OpenClaw new
How to use ailexleon/Versipellis-31B-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 "ailexleon/Versipellis-31B-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 "ailexleon/Versipellis-31B-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"
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| "architectures": [ | |
| "Gemma4ForConditionalGeneration" | |
| ], | |
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| "num_experts": null, | |
| "num_global_key_value_heads": 4, | |
| "num_hidden_layers": 60, | |
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| "num_kv_shared_layers": 0, | |
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| "rms_norm_eps": 1e-06, | |
| "rope_parameters": { | |
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| "rope_theta": 1000000.0, | |
| "rope_type": "proportional" | |
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| "rope_theta": 10000.0, | |
| "rope_type": "default" | |
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| }, | |
| "sliding_window": 1024, | |
| "tie_word_embeddings": true, | |
| "top_k_experts": null, | |
| "use_bidirectional_attention": "vision", | |
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| }, | |
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| "video_token_id": 258884, | |
| "vision_soft_tokens_per_image": 280 | |
| } |