sandepaAI/tool-calling-optimized-llama3-8b
TEXT GENERATIONConcurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Jul 16, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The sandepaAI/tool-calling-optimized-llama3-8b is an 8 billion parameter Llama 3 model developed by sandepaAI, specifically optimized for tool-calling tasks. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed to excel in applications requiring efficient and accurate function calling, leveraging its 8192-token context window.
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Model Overview
The sandepaAI/tool-calling-optimized-llama3-8b is an 8 billion parameter Llama 3 model developed by sandepaAI. It has been specifically fine-tuned and optimized for tool-calling capabilities, making it highly effective for applications that require the model to interact with external functions or APIs.
Key Capabilities
- Optimized Tool Calling: The primary focus of this model is to accurately and efficiently identify and call external tools or functions based on user prompts.
- Efficient Training: This model was fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- Llama 3 Architecture: Built upon the robust Llama 3 base, it inherits strong language understanding and generation capabilities.
Good For
- Function Calling Applications: Ideal for use cases where an LLM needs to parse user requests and translate them into structured function calls.
- Agentic Workflows: Suitable for building AI agents that can interact with various tools to accomplish complex tasks.
- Developers Seeking Optimized Tool Use: Provides a specialized model for developers prioritizing performance in tool-calling scenarios.