Instructions to use Fox-AI-by-teolm30/fox1.3 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 Fox-AI-by-teolm30/fox1.3 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 Fox-AI-by-teolm30/fox1.3 # Run inference directly in the terminal: llama cli -hf Fox-AI-by-teolm30/fox1.3
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Fox-AI-by-teolm30/fox1.3 # Run inference directly in the terminal: llama cli -hf Fox-AI-by-teolm30/fox1.3
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 Fox-AI-by-teolm30/fox1.3 # Run inference directly in the terminal: ./llama-cli -hf Fox-AI-by-teolm30/fox1.3
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 Fox-AI-by-teolm30/fox1.3 # Run inference directly in the terminal: ./build/bin/llama-cli -hf Fox-AI-by-teolm30/fox1.3
Use Docker
docker model run hf.co/Fox-AI-by-teolm30/fox1.3
- LM Studio
- Jan
- Ollama
How to use Fox-AI-by-teolm30/fox1.3 with Ollama:
ollama run hf.co/Fox-AI-by-teolm30/fox1.3
- Unsloth Studio
How to use Fox-AI-by-teolm30/fox1.3 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 Fox-AI-by-teolm30/fox1.3 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 Fox-AI-by-teolm30/fox1.3 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Fox-AI-by-teolm30/fox1.3 to start chatting
- Pi
How to use Fox-AI-by-teolm30/fox1.3 with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Fox-AI-by-teolm30/fox1.3
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": "Fox-AI-by-teolm30/fox1.3" } ] } } }Run Pi
# Start Pi in your project directory: pi
- OpenClaw new
How to use Fox-AI-by-teolm30/fox1.3 with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Fox-AI-by-teolm30/fox1.3
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 "Fox-AI-by-teolm30/fox1.3" \ --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 Fox-AI-by-teolm30/fox1.3 with Docker Model Runner:
docker model run hf.co/Fox-AI-by-teolm30/fox1.3
- Lemonade
How to use Fox-AI-by-teolm30/fox1.3 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Fox-AI-by-teolm30/fox1.3
Run and chat with the model
lemonade run user.fox1.3-{{QUANT_TAG}}List all available models
lemonade list
- Hermes Agent
How to use Fox-AI-by-teolm30/fox1.3 with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Fox-AI-by-teolm30/fox1.3
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 Fox-AI-by-teolm30/fox1.3
Run Hermes
hermes
- Atomic Chat
| #!/usr/bin/env python3 | |
| """ | |
| Fox1.3 Direct Push - Uploads files to HF without local git | |
| Run with: python3 push_direct.py | |
| Requires: huggingface-cli login (or HF_TOKEN env var set) | |
| """ | |
| import os | |
| from huggingface_hub import HfApi, login | |
| REPO_ID = "teolm30/fox1.3" | |
| # Get token from env or use cached login | |
| HF_TOKEN = os.environ.get("HF_TOKEN", "") | |
| if HF_TOKEN: | |
| login(token=HF_TOKEN) | |
| else: | |
| login() # uses ~/.cache/huggingface/token | |
| api = HfApi() | |
| FILES = [ | |
| ("train.py", "Training script with LoRA fine-tuning on CodeAlpaca_20K"), | |
| ("evaluate.py", "Benchmark evaluation on HumanEval + MBPP"), | |
| ("requirements.txt", "Python dependencies"), | |
| ("run_pipeline.sh", "One-command pipeline runner"), | |
| ("push_direct.py", "Upload script"), | |
| ] | |
| def main(): | |
| print(f"Checking access to {REPO_ID}...") | |
| try: | |
| api.repo_info(REPO_ID, repo_type="model") | |
| print("β Repo access confirmed") | |
| except Exception as e: | |
| print(f"β Repo access failed: {e}") | |
| return | |
| print(f"\nUploading files to https://huggingface.co/{REPO_ID}...") | |
| for filename, description in FILES: | |
| try: | |
| api.upload_file( | |
| path_or_fileobj=filename, | |
| path_in_repo=filename, | |
| repo_id=REPO_ID, | |
| repo_type="model", | |
| commit_message=f"Add {filename}: {description}", | |
| ) | |
| print(f" β {filename}") | |
| except FileNotFoundError: | |
| print(f" β {filename} not found, skipping") | |
| except Exception as e: | |
| print(f" β {filename} failed: {e}") | |
| print(f"\nβ Done! https://huggingface.co/{REPO_ID}") | |
| if __name__ == "__main__": | |
| main() | |