Gemma Code Instruct Finetune Python by wambugu1738

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  Arxiv:1910.09700   Autotrain compatible   Conversational   Endpoints compatible   Finetuned   Gemma   Instruct   Region:us   Safetensors   Sharded   Tensorflow

Gemma Code Instruct Finetune Python Benchmarks

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 Python (wambugu1738/gemma-Code-Instruct-Finetune-Python)

Gemma Code Instruct Finetune Python Parameters and Internals

LLM NameGemma Code Instruct Finetune Python
Repository ๐Ÿค—https://huggingface.co/wambugu1738/gemma-Code-Instruct-Finetune-Python 
Model Size2b
Required VRAM5.1 GB
Updated2024-11-13
Maintainerwambugu1738
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

Quantized Models of the Gemma Code Instruct Finetune Python

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Likes
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VRAM
...ma Code Instruct Finetune Test01065 GB

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Note: green Score (e.g. "73.2") means that the model is better than wambugu1738/gemma-Code-Instruct-Finetune-Python.

Rank the Gemma Code Instruct Finetune Python 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