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Gemma 7B Instruct Function Calling by InterSync

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  Autotrain compatible   Conversational   Endpoints compatible   Gemma   Instruct   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/InterSync/Gemma-7B-Instruct-Function-Calling 

Gemma 7B Instruct Function Calling Benchmarks

LLME Score: 0.15983
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma 7B Instruct Function Calling (InterSync/Gemma-7B-Instruct-Function-Calling)

Gemma 7B Instruct Function Calling Parameters and Internals

Model Type 
text-to-text, decoder-only large language model
Use Cases 
Areas:
research, innovative applications
Applications:
question answering, summarization, reasoning
Primary Use Cases:
text generation tasks, conversation with external data sources
Additional Notes 
This fine-tuned version supports direct function calling, which allows for interaction with external APIs and custom databases.
Supported Languages 
English (proficient)
LLM NameGemma 7B Instruct Function Calling
Repository 🤗https://huggingface.co/InterSync/Gemma-7B-Instruct-Function-Calling 
Model Size7b
Required VRAM17.8 GB
Updated2025-05-01
MaintainerInterSync
Model Typegemma
Instruction-BasedYes
Model Files  1.6 GB: 1-of-18   1.0 GB: 2-of-18   1.0 GB: 3-of-18   1.0 GB: 4-of-18   0.9 GB: 5-of-18   1.0 GB: 6-of-18   1.0 GB: 7-of-18   0.9 GB: 8-of-18   1.0 GB: 9-of-18   1.0 GB: 10-of-18   0.9 GB: 11-of-18   1.0 GB: 12-of-18   1.0 GB: 13-of-18   0.9 GB: 14-of-18   1.0 GB: 15-of-18   1.0 GB: 16-of-18   0.9 GB: 17-of-18   0.7 GB: 18-of-18
Model ArchitectureGemmaForCausalLM
Licensecc
Context Length8192
Model Max Length8192
Transformers Version4.38.2
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than InterSync/Gemma-7B-Instruct-Function-Calling.

Rank the Gemma 7B Instruct Function Calling 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 v20241227
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