Instructions to use Accio-Lab/occamy-1.0-MLX-5bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Accio-Lab/occamy-1.0-MLX-5bit 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("Accio-Lab/occamy-1.0-MLX-5bit") 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 Accio-Lab/occamy-1.0-MLX-5bit with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "Accio-Lab/occamy-1.0-MLX-5bit"
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": "Accio-Lab/occamy-1.0-MLX-5bit" } ] } } }Run Pi
# Start Pi in your project directory: pi
- MLX LM
How to use Accio-Lab/occamy-1.0-MLX-5bit with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "Accio-Lab/occamy-1.0-MLX-5bit"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "Accio-Lab/occamy-1.0-MLX-5bit" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Accio-Lab/occamy-1.0-MLX-5bit", "messages": [ {"role": "user", "content": "Hello"} ] }' - Hermes Agent
How to use Accio-Lab/occamy-1.0-MLX-5bit 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 "Accio-Lab/occamy-1.0-MLX-5bit"
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 Accio-Lab/occamy-1.0-MLX-5bit
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use Accio-Lab/occamy-1.0-MLX-5bit with OpenClaw:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "Accio-Lab/occamy-1.0-MLX-5bit"
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 "Accio-Lab/occamy-1.0-MLX-5bit" \ --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"
File size: 2,573 Bytes
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"key": "5bit",
"backend": "Linux MLX CUDA 12 on NVIDIA B200",
"runtime": "stock mlx_lm.server 0.31.3",
"thinking": false,
"temperature": 0,
"endpoint": "/v1/chat/completions",
"scope": "Two authored HTTP smoke checks; Mac Metal pending. No agent or tool-call compatibility claim.",
"checks": [
{
"id": "arithmetic",
"request": {
"model": "default_model",
"messages": [
{
"role": "user",
"content": "Compute 2+2. Answer briefly."
}
],
"temperature": 0,
"max_tokens": 128,
"stream": false
},
"response": {
"id": "chatcmpl-73d5aa14-fa35-43e3-9218-dc36d729c94a",
"system_fingerprint": "0.31.3-0.32.2-Linux-5.10.134-19.1.al8.x86_64-x86_64-with-glibc2.39-sm_100",
"object": "chat.completion",
"model": "default_model",
"created": 1790979471,
"choices": [
{
"index": 0,
"finish_reason": "stop",
"message": {
"role": "assistant",
"content": "4"
}
}
],
"usage": {
"prompt_tokens": 21,
"completion_tokens": 2,
"total_tokens": 23,
"prompt_tokens_details": {
"cached_tokens": 0
}
}
},
"passed": true
},
{
"id": "json",
"request": {
"model": "default_model",
"messages": [
{
"role": "user",
"content": "Return only valid JSON with no markdown. The object must be exactly {\"city\":\"Paris\",\"count\":3}."
}
],
"temperature": 0,
"max_tokens": 128,
"stream": false
},
"response": {
"id": "chatcmpl-02ca375a-c6e8-4dca-ae43-fdf1eb97be53",
"system_fingerprint": "0.31.3-0.32.2-Linux-5.10.134-19.1.al8.x86_64-x86_64-with-glibc2.39-sm_100",
"object": "chat.completion",
"model": "default_model",
"created": 1790979501,
"choices": [
{
"index": 0,
"finish_reason": "stop",
"message": {
"role": "assistant",
"content": "{\"city\":\"Paris\",\"count\":3}"
}
}
],
"usage": {
"prompt_tokens": 34,
"completion_tokens": 10,
"total_tokens": 44,
"prompt_tokens_details": {
"cached_tokens": 0
}
}
},
"passed": true
}
],
"owned_server_stopped": true
} |