rizerphe/CodeLlama-function-calling-1354-7b-Instruct-hf
rizerphe/CodeLlama-function-calling-1354-7b-Instruct-hf is a 7 billion parameter instruction-tuned CodeLlama model developed by rizerphe. It is specifically fine-tuned for function calling capabilities, enabling it to generate structured function calls based on user prompts and available tool definitions. This model excels at integrating external tools and APIs into conversational AI applications, making it suitable for use cases requiring automated task execution.
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rizerphe/CodeLlama-function-calling-1354-7b-Instruct-hf: Function Calling Specialist
This model is a 7 billion parameter CodeLlama-7b Instruct variant, specifically fine-tuned by rizerphe to enhance its function calling capabilities. It leverages a combination of the glaive-function-calling-v2 and sharegpt-hyperfiltered-3k datasets, using LoRA for efficient adaptation.
Key Capabilities
- Structured Function Call Generation: The model can parse user requests and available function definitions to output precise, JSON-formatted function calls, including parameters.
- Instruction Following: It is instruction-tuned, allowing it to respond to user queries and engage in conversational turns, even when function calls are involved.
- Tool Integration: Designed to facilitate the integration of external tools and APIs into AI agents by accurately identifying when and how to call functions.
Good For
- AI Assistants: Building conversational agents that can interact with external systems (e.g., generating passwords, scheduling, data retrieval).
- Automated Workflows: Developing applications where user input needs to trigger specific programmatic actions.
- Code-aware Interactions: Scenarios where the model needs to understand and respond within a context that includes defined functions.
Note: The README indicates that the model may struggle with purely generic chat examples when no functions are provided in the context, suggesting its primary strength lies in function-calling scenarios.