Llama3 Groq Tool Use 8B - Details

Llama3 Groq Tool Use 8B is a large language model developed by Groq Inc, designed to enhance open-source AI capabilities with a focus on tool use and function calling. This model features an 8b parameter size, making it efficient for various applications. It operates under the Meta Llama 3 Community License Agreement – Adapted For Groq 8B/70B Tool Use (META-LLAMA-3-GROQ), ensuring compliance with specific usage guidelines while promoting accessibility and innovation in AI tool integration.

Llama3 Groq Tool Use 8B is a 8B parameter large language model developed by Groq Inc and released under the Meta Llama 3 Community License Agreement – Adapted For Groq 8B/70B Tool Use (META-LLAMA-3-GROQ). It is a causal language model fine-tuned for tool use and function calling, featuring an optimized transformer architecture. The model achieves 89.06% overall accuracy on the Berkeley Function Calling Leaderboard (BFCL), making it the best-performing open-source 8B LLM on this benchmark. It excels at API interactions, structured data manipulation, and complex tool use and is available via Groq API console and Hugging Face.

Llama3 Groq Tool Use 8B is a 8B parameter model with an 8k context length, positioning it in the mid-scale parameter range and moderate context category. This configuration enables efficient handling of tasks requiring moderate complexity while balancing resource usage, making it suitable for applications involving API interactions and structured data manipulation. The 8k context length allows for processing moderately long inputs but may limit performance on extremely lengthy texts. The model’s design emphasizes accessibility and performance for tool-centric workflows without excessive computational demands.

• Name: Llama3 Groq Tool Use 8B
• Parameter_Size: 8b (mid-scale, balanced performance for moderate complexity)
• Context_Length: 8k (moderate, handles moderate-length tasks but limited for very long texts)

Llama3 Groq Tool Use 8B is a 8B parameter model designed for tool use and function calling, with possible applications in scenarios requiring api interactions, structured data manipulation, and complex tool use. Its architecture supports possible workflows where integrating external tools or handling structured data is critical, such as automating repetitive tasks, enhancing data processing pipelines, or enabling dynamic system interactions. However, these possible uses would need to be thoroughly tested and validated in specific contexts to ensure alignment with technical and operational requirements. The model’s focus on tool-centric tasks suggests possible value in environments where seamless API integration or structured data handling is prioritized, though further exploration is necessary to confirm effectiveness.

• Intended_Uses: api interactions
• Intended_Uses: structured data manipulation
• Intended_Uses: complex tool use

Llama3 Groq Tool Use 8B is a 8B parameter model optimized for tool use and function calling, with possible applications in areas such as api interactions, structured data manipulation, and complex tool use. Its design suggests possible suitability for tasks involving dynamic system integration, automated workflow generation, or enhanced data processing pipelines, though these possible uses would require thorough evaluation to ensure alignment with specific requirements. The model’s focus on tool-centric workflows also raises possible interest in scenarios where seamless API engagement or structured data handling is prioritized, but further testing is essential to confirm practical effectiveness.

• Intended_Uses: api interactions
• Intended_Uses: structured data manipulation
• Intended_Uses: complex tool use

Llama3 Groq Tool Use 8B’s medium q4 version requires a GPU with at least 16GB VRAM for efficient operation, as it balances precision and performance for 8B parameters. This configuration is suitable for systems with 12GB–24GB VRAM and at least 32GB RAM, ensuring smooth execution of tool-centric tasks. While q4 reduces computational demands compared to higher-precision variants, it still necessitates adequate cooling and power supply for stable performance.

• Quantizations: fp16, q2, q3, q4, q5, q6, q8

Llama3 Groq Tool Use 8B is a 8B parameter large language model developed by Groq Inc, optimized for tool use and function calling with an 8k context length. It achieves 89.06% accuracy on the Berkeley Function Calling Leaderboard and is available via Groq API console and Hugging Face, making it suitable for applications requiring efficient API interactions and structured data manipulation.

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