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Gemma Code Instruct Finetune Test by Phanindra-max

 »  All LLMs  »  Phanindra-max  »  Gemma Code Instruct Finetune Test   URL Share it on

  5   
  Arxiv:1910.09700   Autotrain compatible   Conversational   Endpoints compatible   Finetuned   Gemma   Instruct   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Phanindra-max/gemma-Code-Instruct-Finetune-test 

Gemma Code Instruct Finetune Test Benchmarks

LLME Score: 0.16081
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma Code Instruct Finetune Test (Phanindra-max/gemma-Code-Instruct-Finetune-test)
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Gemma Code Instruct Finetune Test Parameters and Internals

LLM NameGemma Code Instruct Finetune Test
Repository 🤗https://huggingface.co/Phanindra-max/gemma-Code-Instruct-Finetune-test 
Model Size2b
Required VRAM5.1 GB
Updated2025-09-13
MaintainerPhanindra-max
Model Typegemma
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   0.1 GB: 2-of-2
Model ArchitectureGemmaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.38.0
Tokenizer ClassGemmaTokenizer
Padding Token<eos>
Vocabulary Size256000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Phanindra-max/gemma-Code-Instruct-Finetune-test.

Rank the Gemma Code Instruct Finetune Test 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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