Text Generation
MLX
Safetensors
English
qwen2
code
codeqwen
chat
qwen
qwen-coder
conversational
4-bit precision
Instructions to use Live-By-Unix/linuxai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Live-By-Unix/linuxai 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("Live-By-Unix/linuxai") 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
- LM Studio
- Pi new
How to use Live-By-Unix/linuxai with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "Live-By-Unix/linuxai"
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": "Live-By-Unix/linuxai" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use Live-By-Unix/linuxai 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 "Live-By-Unix/linuxai"
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 Live-By-Unix/linuxai
Run Hermes
hermes
- MLX LM
How to use Live-By-Unix/linuxai with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "Live-By-Unix/linuxai"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "Live-By-Unix/linuxai" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Live-By-Unix/linuxai", "messages": [ {"role": "user", "content": "Hello"} ] }'
- Xet hash:
- b52f227bce94566e61143f5f0af67bb0c7aceb2ba8281284f96455180e5991d3
- Size of remote file:
- 1.74 GB
- SHA256:
- 626e463270737c7ec0e3c7350c9c090e7fb556b4ed77e4281c1e86ff35a2dde3
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