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Gemma 7B 8bit by merve

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Gemma 7B 8bit is an open-source language model by merve. Features: 7b LLM, VRAM: 9.4GB, Context: 8K, License: other, Quantized, LLM Explorer Score: 0.23, ELO: 1135.

  8-bit   8bit   Bitsandbytes   Endpoints compatible   Gemma   Pytorch   Quantized   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/merve/gemma-7b-8bit 

Gemma 7B 8bit Benchmarks

LMSys ELO: 1135 vs 1272 (so35)-10.8%
LLME Score: 0.23378
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma 7B 8bit (merve/gemma-7b-8bit)
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Gemma 7B 8bit Parameters and Internals

Model Type 
causal language model
LLM NameGemma 7B 8bit
Repository 🤗https://huggingface.co/merve/gemma-7b-8bit 
Base Model(s)  Gemma 7B It   alpindale/gemma-7b-it
Model Size7b
Required VRAM9.4 GB
Updated2026-04-05
Maintainermerve
Model Typegemma
Model Files  5.0 GB: 1-of-2   4.4 GB: 2-of-2
Quantization Type8bit
Model ArchitectureGemmaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.38.1
Vocabulary Size256000
Torch Data Typefloat16

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Codegemma 7B It 8bit8K / 9.5 GB1285
Codegemma 7B It 4bit8K / 5.9 GB281
Codegemma 7B 4bit8K / 5.9 GB260
Gemma 1.1 7B It 4bit8K / 5.9 GB174
Swahili Gemma8K / 17.1 GB51
Note: green Score (e.g. "73.2") means that the model is better than merve/gemma-7b-8bit.

Rank the Gemma 7B 8bit 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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