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Gemma Code Instruct Finetune Test by karan842

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  Autotrain compatible   Endpoints compatible   Finetuned   Gemma   Instruct   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/karan842/gemma-code-instruct-finetune-test 

Gemma Code Instruct Finetune Test Benchmarks

LLME Score: 0.17857
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 (karan842/gemma-code-instruct-finetune-test)

Gemma Code Instruct Finetune Test Parameters and Internals

Model Type 
question-answering
Additional Notes 
Model is trained on Gemma-2B model for assisting in programming.
LLM NameGemma Code Instruct Finetune Test
Repository 🤗https://huggingface.co/karan842/gemma-code-instruct-finetune-test 
Model Size2b
Required VRAM5.1 GB
Updated2025-03-12
Maintainerkaran842
Model Typegemma
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   0.1 GB: 2-of-2
Model ArchitectureGemmaForCausalLM
Licensemit
Context Length8192
Model Max Length8192
Transformers Version4.38.0
Tokenizer ClassGemmaTokenizer
Padding Token<eos>
Vocabulary Size256000
Torch Data Typefloat16

Quantized Models of the Gemma Code Instruct Finetune Test

Model
Likes
Downloads
VRAM
...Code 2B Instruct Finetune Test0145 GB

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...truct Finetune Test Mf Tuned 28K / 5.1 GB542
Note: green Score (e.g. "73.2") means that the model is better than karan842/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 v20241227
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