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Gemma Finetuned Code Review With 2K Dataset by Arshik

 »  All LLMs  »  Arshik  »  Gemma Finetuned Code Review With 2K Dataset   URL Share it on

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  Arxiv:1910.09700   Autotrain compatible   Endpoints compatible   Finetuned   Gemma   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/Arshik/gemma-finetuned-code_review_with_2k_dataset 

Gemma Finetuned Code Review With 2k Dataset Benchmarks

LLME Score: 0.18468
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma Finetuned Code Review With 2K Dataset (Arshik/gemma-finetuned-code_review_with_2k_dataset)

Gemma Finetuned Code Review With 2K Dataset Parameters and Internals

LLM NameGemma Finetuned Code Review With 2k Dataset
Repository 🤗https://huggingface.co/Arshik/gemma-finetuned-code_review_with_2k_dataset 
Model Size2b
Required VRAM5.1 GB
Updated2025-02-21
MaintainerArshik
Model Typegemma
Model Files  5.0 GB: 1-of-2   0.1 GB: 2-of-2
Model ArchitectureGemmaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.40.1
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 Arshik/gemma-finetuned-code_review_with_2k_dataset.

Rank the Gemma Finetuned Code Review With 2K Dataset Capabilities

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Instruction Following and Task Automation  
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Release v20241227
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