Google Gemma 7B 8 Bit Gptq by SotiriosKastanas

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Google Gemma 7B 8 Bit Gptq is an open-source language model by SotiriosKastanas. Features: 7b LLM, VRAM: 9.5GB, Context: 8K, Quantized, LLM Explorer Score: 0.14.

  Arxiv:1910.09700   8-bit   Autotrain compatible   Endpoints compatible   Gemma   Gptq   Quantized   Region:us   Safetensors

Google Gemma 7B 8 Bit Gptq Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Google Gemma 7B 8 Bit Gptq Parameters and Internals

LLM NameGoogle Gemma 7B 8 Bit Gptq
Repository 🤗https://huggingface.co/SotiriosKastanas/google-gemma-7b-8-bit-gptq 
Model Size7b
Required VRAM9.5 GB
Updated2025-09-23
MaintainerSotiriosKastanas
Model Typegemma
Model Files  9.5 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureGemmaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.41.2
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than SotiriosKastanas/google-gemma-7b-8-bit-gptq.

Rank the Google Gemma 7B 8 Bit Gptq 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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Release v20260328a