Text Generation
MLX
Safetensors
minimax_m3_vl
jang
reap
awq
Mixture of Experts
code
multimodal
minimax-m3
osaurus
apple-silicon
conversational
custom_code
Instructions to use OsaurusAI/MiniMax-M3-Coder-Small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use OsaurusAI/MiniMax-M3-Coder-Small 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("OsaurusAI/MiniMax-M3-Coder-Small") 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 OsaurusAI/MiniMax-M3-Coder-Small with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "OsaurusAI/MiniMax-M3-Coder-Small"
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": "OsaurusAI/MiniMax-M3-Coder-Small" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use OsaurusAI/MiniMax-M3-Coder-Small 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 "OsaurusAI/MiniMax-M3-Coder-Small"
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 OsaurusAI/MiniMax-M3-Coder-Small
Run Hermes
hermes
- MLX LM
How to use OsaurusAI/MiniMax-M3-Coder-Small with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "OsaurusAI/MiniMax-M3-Coder-Small"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "OsaurusAI/MiniMax-M3-Coder-Small" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "OsaurusAI/MiniMax-M3-Coder-Small", "messages": [ {"role": "user", "content": "Hello"} ] }'
File size: 635 Bytes
9c97383 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 | {
"format": "jang",
"format_version": "2.0",
"quantization": {
"method": "jang-affine-mixed",
"profile": "JANG_2L",
"block_size": 64,
"mode": "affine",
"routed_avg_bits": 2,
"awq": {
"enabled": true
}
},
"reap": {
"pruned": true,
"experts_kept": 70,
"experts_total": 128
},
"architecture": {
"type": "moe",
"attention": "gqa+msa_sparse",
"has_vision": true,
"has_moe": true,
"cache_type": "kv+msa_index_dual"
},
"capabilities": {
"family": "minimax_m3",
"modality": "multimodal",
"supports_tools": true,
"supports_thinking": true
}
} |