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Firefunction V1 by fireworks-ai

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  Autotrain compatible   Conversational   Endpoints compatible   Function-calling   Instruct   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/fireworks-ai/firefunction-v1 

Firefunction V1 Benchmarks

LLME Score: 0.14886
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Firefunction V1 (fireworks-ai/firefunction-v1)
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Firefunction V1 Parameters and Internals

Model Type 
function calling
Use Cases 
Areas:
single-turn request routing, structured information extraction
Primary Use Cases:
single-turn request routing to a function picked from a pool of up to 20 function specs, structured information extraction
Limitations:
general multi-turn chat, parallel and nested function calls in a single response
Additional Notes 
Offered for free during a limited beta period. Support for "any" parameter in tool_choice. FireFunction is the only model that supports an option for the model to always choose a function, particularly helpful for routing use cases.
LLM NameFirefunction V1
Repository 🤗https://huggingface.co/fireworks-ai/firefunction-v1 
Model Size46.7b
Required VRAM93.6 GB
Updated2025-09-23
Maintainerfireworks-ai
Model Typemixtral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-19   5.0 GB: 2-of-19   5.0 GB: 3-of-19   4.9 GB: 4-of-19   5.0 GB: 5-of-19   5.0 GB: 6-of-19   4.9 GB: 7-of-19   5.0 GB: 8-of-19   5.0 GB: 9-of-19   4.9 GB: 10-of-19   5.0 GB: 11-of-19   5.0 GB: 12-of-19   5.0 GB: 13-of-19   4.9 GB: 14-of-19   5.0 GB: 15-of-19   5.0 GB: 16-of-19   4.9 GB: 17-of-19   5.0 GB: 18-of-19   4.2 GB: 19-of-19
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32002
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than fireworks-ai/firefunction-v1.

Rank the Firefunction V1 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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