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Gemma 2B Gptq 4bit by elysiantech

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Gemma 2B Gptq 4bit is an open-source language model by elysiantech. Features: 2b LLM, VRAM: 2.1GB, Context: 8K, License: other, Quantized, LLM Explorer Score: 0.14.

  Arxiv:2308.07662   4-bit   4bit   Autotrain compatible   En   Endpoints compatible   Gemma   Google   Gptq   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/elysiantech/gemma-2b-gptq-4bit 

Gemma 2B Gptq 4bit Benchmarks

LLME Score: 0.14184
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma 2B Gptq 4bit (elysiantech/gemma-2b-gptq-4bit)
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Gemma 2B Gptq 4bit Parameters and Internals

Model Type 
text-generation-inference
Additional Notes 
gemma-2b-gptq-4bit is a quantitized version using the GPTQ method.
Supported Languages 
English (Proficient)
LLM NameGemma 2B Gptq 4bit
Repository 🤗https://huggingface.co/elysiantech/gemma-2b-gptq-4bit 
Model Size2b
Required VRAM2.1 GB
Updated2025-10-04
Maintainerelysiantech
Model Typegemma
Model Files  2.1 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureGemmaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.41.2
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typefloat16

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... 2.8 Gemma 2B HQQ 1bit Smashed8K / 1.3 GB50
Note: green Score (e.g. "73.2") means that the model is better than elysiantech/gemma-2b-gptq-4bit.

Rank the Gemma 2B Gptq 4bit 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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