Kimang18/TinyLlama-tool-calling-v2-pt
TEXT GENERATIONConcurrency Cost:1Model Size:1.1BQuant:BF16Ctx Length:2kPublished:Nov 25, 2025Architecture:Transformer Warm
Kimang18/TinyLlama-tool-calling-v2-pt is a 1.1 billion parameter language model, likely based on the TinyLlama architecture, specifically fine-tuned for tool-calling capabilities. This model is designed to interpret natural language requests and translate them into structured function calls, making it suitable for integrating LLMs with external APIs and services. Its compact size and specialized training aim to provide efficient tool-use functionality.
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Model Overview
Kimang18/TinyLlama-tool-calling-v2-pt is a compact 1.1 billion parameter language model. It is specifically fine-tuned for tool-calling, enabling it to understand user intents and generate appropriate function calls to interact with external systems or APIs.
Key Capabilities
- Tool-Calling: Designed to parse natural language instructions and convert them into structured tool or function calls.
- Compact Size: With 1.1 billion parameters, it offers a smaller footprint compared to larger models, potentially allowing for more efficient deployment and inference.
Good For
- Function Calling: Use cases requiring an LLM to interact with external tools, APIs, or databases by generating structured function calls.
- Resource-Constrained Environments: Scenarios where a smaller, specialized model is preferred for its efficiency.
- Prototyping Tool-Enabled Agents: Developing agents that can leverage external functionalities based on user prompts.