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: 772 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 | {
"processor_class": "MiniMaxVLProcessor",
"auto_map": {
"AutoImageProcessor": "image_processor.MiniMaxM3VLImageProcessor",
"AutoProcessor": "processing_minimax.MiniMaxVLProcessor",
"AutoVideoProcessor": "video_processor.MiniMaxM3VLVideoProcessor"
},
"process_image_mode": "dynamic_res",
"image_mean": [
0.48145466,
0.4578275,
0.40821073
],
"image_std": [
0.26862954,
0.26130258,
0.27577711
],
"size": [
672,
672
],
"patch_size": 14,
"img_token_compression_config": {
"image_token_compression_threshold": 1.1,
"image_token_compression_method": "patch_merge",
"max_image_resolution": 1008,
"spatial_merge_size": 2,
"temporal_patch_size": 2
},
"add_start_end_special_tokens": true
} |