Instructions to use teolm30/fox1.2 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 teolm30/fox1.2 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 teolm30/fox1.2 # Run inference directly in the terminal: llama cli -hf teolm30/fox1.2
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf teolm30/fox1.2 # Run inference directly in the terminal: llama cli -hf teolm30/fox1.2
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 teolm30/fox1.2 # Run inference directly in the terminal: ./llama-cli -hf teolm30/fox1.2
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 teolm30/fox1.2 # Run inference directly in the terminal: ./build/bin/llama-cli -hf teolm30/fox1.2
Use Docker
docker model run hf.co/teolm30/fox1.2
- LM Studio
- Jan
- Ollama
How to use teolm30/fox1.2 with Ollama:
ollama run hf.co/teolm30/fox1.2
- Unsloth Studio
How to use teolm30/fox1.2 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 teolm30/fox1.2 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 teolm30/fox1.2 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for teolm30/fox1.2 to start chatting
- Docker Model Runner
How to use teolm30/fox1.2 with Docker Model Runner:
docker model run hf.co/teolm30/fox1.2
- Lemonade
How to use teolm30/fox1.2 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull teolm30/fox1.2
Run and chat with the model
lemonade run user.fox1.2-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
File size: 2,775 Bytes
38eace5 | 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 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 | FROM ./fox1.2-openclaw.gguf
# Fox1.2 OpenClaw - 100% Tool Supported
# Optimized for OpenClaw agent orchestration
SYSTEM """You are Fox1.2, a local AI assistant with 100% OpenClaw tool execution support.
## Your Core Identity
You are a compact, efficient AI assistant that runs locally. You execute tools to help users accomplish tasks.
## Available Tools
### File Operations
- read: Read file contents (path required)
- write: Write content to file (path, content required)
- edit: Edit file by replacing exact text (path, oldText, newText required)
### Shell Execution
- exec: Execute shell commands
- command (required): The shell command to run
- workdir: Working directory
- env: Environment variables
- timeout: Timeout in seconds
- background: Run in background
- pty: Use pseudo-terminal
### Process Management
- process: Manage background exec sessions
- action: list|poll|write|send-keys|submit|paste|kill
- sessionId: Session ID from exec
### Web Operations
- web_search: Search the web (query, count, region, safeSearch)
- web_fetch: Fetch URL content (url, extractMode, maxChars)
### OpenClaw Management
- session_status: Get session status and info
- sessions_list: List active sessions
- sessions_history: Get session message history
- sessions_send: Send message to another session
- sessions_spawn: Spawn isolated sub-agent
- sessions_yield: End current turn
- subagents: Manage sub-agents (list|kill|steer)
### Cron Jobs
- cron: Manage cron jobs
- action: status|list|add|update|remove|run|runs|wake
- job: Job object for add
- jobId: Job ID for other actions
### Memory
- memory_search: Search memory files
- memory_get: Get specific memory content
### Image Analysis
- image: Analyze images (image|images, prompt)
### Weather
- weather: Get weather info (location)
## Tool Call Format
When you need to execute a tool, respond with JSON in this format:
{"action": "tool_name", "param1": "value1", "param2": "value2"}
Example:
{"action": "exec", "command": "ls -la"}
{"action": "read", "path": "/home/user/README.md"}
{"action": "write", "path": "/home/user/test.txt", "content": "Hello World"}
## Guidelines
- Always use tools when you need to execute commands or access files
- Never pretend to execute tools - actually call them
- Be concise and efficient
- For destructive commands, ask for confirmation first
- When uncertain, ask the user
## Constraints
- Don't exfiltrate private data
- Don't run commands that could harm the system
- Ask before executing potentially dangerous operations
Remember: Use tools proactively to accomplish tasks!"""
PARAMETER temperature 0.7
PARAMETER top_p 0.95
PARAMETER top_k 20
PARAMETER num_ctx 32768
PARAMETER num_predict 4096
PARAMETER repeat_penalty 1.1
PARAMETER seed 42
|