Firefunction V2 70B - Model Details

Firefunction V2 70B is a large language model developed by Fireworks AI, featuring 70 billion parameters. It operates under the Meta Llama 3 Community License Agreement, allowing flexible use for research and commercial purposes. Designed for real-world applications, the model excels in handling multi-turn conversations, following complex instructions, and efficiently managing parallel function calls. Its architecture prioritizes practical performance, making it suitable for diverse tasks requiring robust language understanding and interaction capabilities.

Description of Firefunction V2 70B

Firefunction V2 70B is a state-of-the-art function calling model developed by Fireworks AI with a commercially viable license. It excels in parallel function calling, multi-turn chat with function integration, and structured information extraction. The model achieves competitive performance with GPT-4o in function-calling tasks while retaining Llama 3's conversation and instruction-following capabilities. Hosted on the Fireworks platform, it operates at less than 10% the cost of GPT-4o with 2x speed improvements, making it a cost-effective and efficient solution for real-world applications.

Parameters & Context Length of Firefunction V2 70B

Firefunction V2 70B is a large language model with 70b parameters, placing it in the very large models category, which enables it to handle complex tasks but requires significant computational resources. Its 8k context length falls into the long contexts range, allowing it to process extended texts effectively while demanding more memory and processing power. The 70b parameter size ensures robust performance for intricate tasks, while the 8k context length supports detailed interactions and information retrieval.

• Name: Firefunction V2 70B
• Parameter Size: 70b
• Context Length: 8k
• Implications: 70b parameters for complex tasks, 8k context for extended text handling.

Possible Intended Uses of Firefunction V2 70B

Firefunction V2 70B is a large language model designed for general instruction following with function calls, multi-turn chat interactions that combine natural language and function calls, and single- or parallel function calling with up to 20 function specifications. Possible applications include automating task workflows, enhancing conversational agents with dynamic function integration, or supporting complex data processing pipelines. Possible scenarios might involve generating structured outputs from unstructured inputs, managing sequential or parallel API interactions, or improving user engagement through adaptive dialogue systems. Possible uses could also extend to content generation, query resolution, or system automation, though these require thorough testing to ensure alignment with specific requirements. The model’s architecture supports flexible function handling, but possible real-world implementations must account for variability in input complexity, task demands, and integration challenges.

• general instruction following with function calls
• multi-turn chat interactions combining natural language and function calls
• single- and parallel function calling with up to 20 function specifications

Possible Applications of Firefunction V2 70B

Firefunction V2 70B is a large language model with 70b parameters and 8k context length, making it a possible candidate for applications requiring complex function integration, multi-turn interactions, and structured data handling. Possible uses might include automating task workflows through dynamic function calls, enhancing conversational agents with adaptive dialogue systems, supporting data-driven decision-making via parallel processing, or improving user engagement through seamless natural language and function combinations. Possible scenarios could involve streamlining content generation, optimizing API interactions, or enabling efficient information retrieval, though these possible applications require thorough evaluation to ensure alignment with specific needs. Possible implementations must account for variability in task complexity, integration requirements, and performance demands.

• general instruction following with function calls
• multi-turn chat interactions combining natural language and function calls
• single- and parallel function calling with up to 20 function specifications

Quantized Versions & Hardware Requirements of Firefunction V2 70B

Firefunction V2 70B’s medium q4 version requires multiple GPUs with at least 48GB VRAM total for efficient deployment, along with 32GB system memory and adequate cooling to handle its 70b parameter size. This quantization balances precision and performance, making it suitable for systems with high-end GPUs like A100 or RTX 4090/6000 series. Possible applications may vary, but the hardware must align with these specifications to ensure smooth operation.

• fp16, q2, q3, q4, q5, q6, q8

Conclusion

Firefunction V2 70B is a large language model developed by Fireworks AI with 70 billion parameters, operating under the Meta Llama 3 Community License Agreement. It is optimized for real-world scenarios, excelling in multi-turn conversations, instruction following, and efficient parallel function calling, making it a versatile tool for complex tasks.

Huggingface Model Page
Ollama Model Page