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Gemma 7B It AWQ by casperhansen

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  4-bit   Autotrain compatible   Awq   Conversational   Endpoints compatible   Gemma   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/casperhansen/gemma-7b-it-awq 

Gemma 7B It AWQ Benchmarks

LLME Score: 0.17275
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma 7B It AWQ (casperhansen/gemma-7b-it-awq)

Gemma 7B It AWQ Parameters and Internals

LLM NameGemma 7B It AWQ
Repository 🤗https://huggingface.co/casperhansen/gemma-7b-it-awq 
Model Size7b
Required VRAM7.2 GB
Updated2025-02-22
Maintainercasperhansen
Model Typegemma
Model Files  6.6 GB: 1-of-2   0.6 GB: 2-of-2
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureGemmaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.38.2
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 casperhansen/gemma-7b-it-awq.

Rank the Gemma 7B It AWQ 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 v20241227
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