teolm30/fox1.2 is a fine-tuned Qwen2.5-0.5B model with approximately 494 million parameters and a 32,768-token context length. Developed by teolm30, this compact and efficient model is specifically optimized for 100% OpenClaw agent tool execution, excelling at smart tool selection and generation for agent workflows. It supports a comprehensive suite of OpenClaw tools, including shell command execution, file operations, web interactions, and process management, making it ideal for automated task execution on consumer hardware.
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Overview
teolm30/fox1.2 is a highly efficient, fine-tuned Qwen2.5-0.5B model, developed by teolm30, specifically engineered for seamless integration and execution within the OpenClaw agent framework. With approximately 494 million parameters and a substantial 32,768-token context length, this model is designed for local inference on consumer hardware, requiring only about 6GB of VRAM. Its core strength lies in its 100% support for all OpenClaw agent tools, enabling robust automation and task execution.
Key Capabilities
- Comprehensive Tool Support: Fully supports all OpenClaw tools, including
exec(shell commands),read/write/edit(file operations),web_search/web_fetch(web interactions),process(background session management),cron(job management), andmemory_search/memory_get(memory operations). - Smart Tool Selection: Optimized to intelligently select and generate appropriate tool calls based on user prompts, streamlining agent workflows.
- Compact & Efficient: At ~494M parameters and ~994MB (F16), it's built for fast, local inference, making it accessible for a wide range of hardware.
- Dedicated Training: Trained on over 200 examples covering diverse OpenClaw tool patterns to ensure high accuracy in tool call generation.
Good For
- Developers building OpenClaw agents requiring reliable and efficient tool execution.
- Automated scripting and task management where shell commands, file system access, and web interactions are crucial.
- Applications needing a compact, fast, and locally runnable model for agentic workflows.
- Scenarios demanding smart tool selection for complex multi-step operations.