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Gemma2B Function Calling by skyxiaobaibai

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Model Card on HF 🤗: https://huggingface.co/skyxiaobaibai/gemma2B_function_calling 

Gemma2B Function Calling Benchmarks

LLME Score: 0.18857
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma2B Function Calling (skyxiaobaibai/gemma2B_function_calling)

Gemma2B Function Calling Parameters and Internals

Model Type 
base model
Additional Notes 
Summary description and brief definition of inputs and outputs.
LLM NameGemma2B Function Calling
Repository 🤗https://huggingface.co/skyxiaobaibai/gemma2B_function_calling 
Model Size2b
Required VRAM5.1 GB
Updated2025-02-22
Maintainerskyxiaobaibai
Model Typegemma
Model Files  1.6 GB   1.6 GB   5.0 GB: 1-of-2   0.1 GB: 2-of-2
GGUF QuantizationYes
Quantization Typeq4|gguf|q4_k
Model ArchitectureGemmaForCausalLM
Licensemit
Context Length8192
Model Max Length8192
Transformers Version4.39.3
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 skyxiaobaibai/gemma2B_function_calling.

Rank the Gemma2B Function Calling Capabilities

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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