Instructions to use OrbitMC/Mew1-2.6B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use OrbitMC/Mew1-2.6B with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf OrbitMC/Mew1-2.6B # Run inference directly in the terminal: llama cli -hf OrbitMC/Mew1-2.6B
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf OrbitMC/Mew1-2.6B # Run inference directly in the terminal: llama cli -hf OrbitMC/Mew1-2.6B
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf OrbitMC/Mew1-2.6B # Run inference directly in the terminal: ./llama-cli -hf OrbitMC/Mew1-2.6B
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf OrbitMC/Mew1-2.6B # Run inference directly in the terminal: ./build/bin/llama-cli -hf OrbitMC/Mew1-2.6B
Use Docker
docker model run hf.co/OrbitMC/Mew1-2.6B
- LM Studio
- Jan
- Ollama
How to use OrbitMC/Mew1-2.6B with Ollama:
ollama run hf.co/OrbitMC/Mew1-2.6B
- Unsloth Studio
How to use OrbitMC/Mew1-2.6B with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for OrbitMC/Mew1-2.6B to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for OrbitMC/Mew1-2.6B to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for OrbitMC/Mew1-2.6B to start chatting
- Pi
How to use OrbitMC/Mew1-2.6B with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf OrbitMC/Mew1-2.6B
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "OrbitMC/Mew1-2.6B" } ] } } }Run Pi
# Start Pi in your project directory: pi
- OpenClaw new
How to use OrbitMC/Mew1-2.6B with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf OrbitMC/Mew1-2.6B
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 "OrbitMC/Mew1-2.6B" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
- Docker Model Runner
How to use OrbitMC/Mew1-2.6B with Docker Model Runner:
docker model run hf.co/OrbitMC/Mew1-2.6B
- Lemonade
How to use OrbitMC/Mew1-2.6B with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull OrbitMC/Mew1-2.6B
Run and chat with the model
lemonade run user.Mew1-2.6B-{{QUANT_TAG}}List all available models
lemonade list
- Hermes Agent
How to use OrbitMC/Mew1-2.6B with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf OrbitMC/Mew1-2.6B
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 OrbitMC/Mew1-2.6B
Run Hermes
hermes
- Atomic Chat
| { | |
| "architectures": [ | |
| "Lfm2ForCausalLM" | |
| ], | |
| "block_auto_adjust_ff_dim": false, | |
| "block_dim": 2048, | |
| "block_ffn_dim_multiplier": 1.0, | |
| "block_mlp_init_scale": 1.0, | |
| "block_multiple_of": 256, | |
| "block_norm_eps": 1e-05, | |
| "block_out_init_scale": 1.0, | |
| "block_use_swiglu": true, | |
| "block_use_xavier_init": true, | |
| "bos_token_id": 124894, | |
| "conv_L_cache": 3, | |
| "conv_bias": false, | |
| "conv_dim": 2048, | |
| "conv_use_xavier_init": true, | |
| "torch_dtype": "float16", | |
| "eos_token_id": 124900, | |
| "full_attn_idxs": null, | |
| "hidden_size": 2048, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 10752, | |
| "layer_types": [ | |
| "conv", | |
| "conv", | |
| "full_attention", | |
| "conv", | |
| "conv", | |
| "full_attention", | |
| "conv", | |
| "conv", | |
| "conv", | |
| "full_attention", | |
| "conv", | |
| "conv", | |
| "conv", | |
| "full_attention", | |
| "conv", | |
| "conv", | |
| "conv", | |
| "full_attention", | |
| "conv", | |
| "conv", | |
| "conv", | |
| "full_attention", | |
| "conv", | |
| "conv", | |
| "full_attention", | |
| "conv", | |
| "conv", | |
| "full_attention", | |
| "conv", | |
| "conv" | |
| ], | |
| "max_position_embeddings": 128000, | |
| "model_name": "SC117/LFM2.5-2.6B-Uncensored", | |
| "model_type": "lfm2", | |
| "norm_eps": 1e-05, | |
| "num_attention_heads": 32, | |
| "num_heads": 32, | |
| "num_hidden_layers": 30, | |
| "num_key_value_heads": 8, | |
| "pad_token_id": 124893, | |
| "rope_parameters": { | |
| "rope_theta": 10000000.0, | |
| "rope_type": "default" | |
| }, | |
| "tie_word_embeddings": true, | |
| "unsloth_version": "2026.8.18", | |
| "use_cache": true, | |
| "use_pos_enc": true, | |
| "vocab_size": 128000 | |
| } |