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Glaive Function Calling V1 by glaiveai

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  Autotrain compatible   Custom code Dataset:glaiveai/glaive-functi...   Endpoints compatible   Mpt   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/glaiveai/glaive-function-calling-v1 

Glaive Function Calling V1 Benchmarks

LLME Score: 0.10386
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Glaive Function Calling V1 (glaiveai/glaive-function-calling-v1)
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Glaive Function Calling V1 Parameters and Internals

Use Cases 
Primary Use Cases:
Function calling tasks
Limitations:
Doesn't generalize well to other chat use-cases, May hallucinate functions
Additional Notes 
The model is open source and focuses on function calling abilities. An inference server is being developed to act as a drop-in replacement to the OpenAI API.
Training Details 
Data Sources:
Glaive’s synthetic data generation platform
LLM NameGlaive Function Calling V1
Repository 🤗https://huggingface.co/glaiveai/glaive-function-calling-v1 
Model Size3b
Required VRAM10.4 GB
Updated2025-10-20
Maintainerglaiveai
Model Typempt
Model Files  10.0 GB: 1-of-2   0.4 GB: 2-of-2
Model ArchitectureMPTForCausalLM
Licensecc-by-sa-4.0
Model Max Length2048
Transformers Version4.28.0
Tokenizer ClassReplitLMTokenizer
Padding Token<|pad|>
Vocabulary Size32768
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than glaiveai/glaive-function-calling-v1.

Rank the Glaive Function Calling V1 Capabilities

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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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