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Instructions to use bartowski/OpenPathAI_Orbit-3.2-Nano-GGUF 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 bartowski/OpenPathAI_Orbit-3.2-Nano-GGUF 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 bartowski/OpenPathAI_Orbit-3.2-Nano-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf bartowski/OpenPathAI_Orbit-3.2-Nano-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf bartowski/OpenPathAI_Orbit-3.2-Nano-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf bartowski/OpenPathAI_Orbit-3.2-Nano-GGUF:Q4_K_M
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf bartowski/OpenPathAI_Orbit-3.2-Nano-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf bartowski/OpenPathAI_Orbit-3.2-Nano-GGUF:Q4_K_M
Use Docker
docker model run hf.co/bartowski/OpenPathAI_Orbit-3.2-Nano-GGUF:Q4_K_M
- Llama new
- LM Studio
- Jan
- vLLM
How to use bartowski/OpenPathAI_Orbit-3.2-Nano-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "bartowski/OpenPathAI_Orbit-3.2-Nano-GGUF" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "bartowski/OpenPathAI_Orbit-3.2-Nano-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/bartowski/OpenPathAI_Orbit-3.2-Nano-GGUF:Q4_K_M
- Ollama
How to use bartowski/OpenPathAI_Orbit-3.2-Nano-GGUF with Ollama:
ollama run hf.co/bartowski/OpenPathAI_Orbit-3.2-Nano-GGUF:Q4_K_M
- Unsloth Desktop
- Pi
How to use bartowski/OpenPathAI_Orbit-3.2-Nano-GGUF with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf bartowski/OpenPathAI_Orbit-3.2-Nano-GGUF:Q4_K_M
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "bartowski/OpenPathAI_Orbit-3.2-Nano-GGUF:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use bartowski/OpenPathAI_Orbit-3.2-Nano-GGUF with Docker Model Runner:
docker model run hf.co/bartowski/OpenPathAI_Orbit-3.2-Nano-GGUF:Q4_K_M
- Lemonade
How to use bartowski/OpenPathAI_Orbit-3.2-Nano-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull bartowski/OpenPathAI_Orbit-3.2-Nano-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.OpenPathAI_Orbit-3.2-Nano-GGUF-Q4_K_M
List all available models
lemonade list
- Hermes Agent
How to use bartowski/OpenPathAI_Orbit-3.2-Nano-GGUF with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf bartowski/OpenPathAI_Orbit-3.2-Nano-GGUF:Q4_K_M
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 bartowski/OpenPathAI_Orbit-3.2-Nano-GGUF:Q4_K_M
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use bartowski/OpenPathAI_Orbit-3.2-Nano-GGUF with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf bartowski/OpenPathAI_Orbit-3.2-Nano-GGUF:Q4_K_M
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 "bartowski/OpenPathAI_Orbit-3.2-Nano-GGUF:Q4_K_M" \ --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"
Download layouts/OpenPathAI_Orbit-3.2-Nano-Q2_K.layout.json from bartowski/OpenPathAI_Orbit-3.2-Nano-GGUF: direct link, hf CLI and curl.
- Browser
- Download file 2.09 kB
-
https://huggingface.co/bartowski/OpenPathAI_Orbit-3.2-Nano-GGUF/resolve/main/layouts/OpenPathAI_Orbit-3.2-Nano-Q2_K.layout.json
- Command line
-
hf download hf://bartowski/OpenPathAI_Orbit-3.2-Nano-GGUF/layouts/OpenPathAI_Orbit-3.2-Nano-Q2_K.layout.json
-
curl -L -o OpenPathAI_Orbit-3.2-Nano-Q2_K.layout.json https://huggingface.co/bartowski/OpenPathAI_Orbit-3.2-Nano-GGUF/resolve/main/layouts/OpenPathAI_Orbit-3.2-Nano-Q2_K.layout.json
2.09 kB
| { | |
| "model": "/media/m2teamgroup/models/Orbit-3.2-Nano-GGUF/OpenPathAI_Orbit-3.2-Nano-bf16.gguf", | |
| "imatrix": "/media/m2teamgroup/models/Orbit-3.2-Nano-GGUF/OpenPathAI_Orbit-3.2-Nano-imatrix.gguf", | |
| "ftype": "Q2_K", | |
| "base_type": "q2_k", | |
| "family": "k", | |
| "recipe": "ident", | |
| "variant": "shr0.70", | |
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| "type": "q4_k" | |
| } | |
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| "arch": "dense", | |
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| "n_layer": 30, | |
| "body_rule": true, | |
| "pins": {}, | |
| "shape_pins": {}, | |
| "fixed_pins": {}, | |
| "embeddings": { | |
| "token_embd.weight": "q4_k" | |
| }, | |
| "bytes": { | |
| "heuristic_body+embd": 1093566464, | |
| "map_body+embd": 1059135488, | |
| "ratio": 0.9685, | |
| "note": "quantizable, unpinned tensors only; pinned/unquantized tensors are identical in both" | |
| }, | |
| "body_base_share": 0.7, | |
| "body_bpw": 2.996, | |
| "body_bpw_heuristic": 2.887, | |
| "total_params": 2697198592, | |
| "file_bytes_pred": 1060179968, | |
| "file_bpw_pred": 3.145, | |
| "histogram": { | |
| "attn_k": { | |
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| "attn_output": { | |
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| "q2_k": 2 | |
| }, | |
| "attn_q": { | |
| "q2_k": 5, | |
| "q4_k": 3 | |
| }, | |
| "attn_v": { | |
| "q5_k": 7, | |
| "q4_k": 1 | |
| }, | |
| "ffn_down": { | |
| "q2_k": 29, | |
| "q4_k": 1 | |
| }, | |
| "ffn_gate": { | |
| "q2_k": 30 | |
| }, | |
| "ffn_up": { | |
| "q2_k": 28, | |
| "q3_k": 1, | |
| "q4_k": 1 | |
| }, | |
| "shortconv.in_proj": { | |
| "q4_k": 22 | |
| }, | |
| "shortconv.out_proj": { | |
| "q4_k": 22 | |
| } | |
| }, | |
| "prior": "layout/prior.json", | |
| "pin_rule": "floor", | |
| "embd_cap": "heur", | |
| "generator": "auto_quant_v2.layout", | |
| "generator_key": "3bf8b43e20a68f0b", | |
| "quant_type": "Q2_K", | |
| "quantize_ftype": "Q2_K", | |
| "llama_cpp_version": "b11716", | |
| "unknown_kinds": { | |
| "dense|shortconv.in_proj": { | |
| "tensors": 22, | |
| "params_share": 0.1137 | |
| }, | |
| "dense|shortconv.out_proj": { | |
| "tensors": 22, | |
| "params_share": 0.0379 | |
| } | |
| }, | |
| "commit": "1ac1b04da659470c625135a945d427b40b5da68b" | |
| } | |