Gemma 7B by Kota123

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  Arxiv:1705.03551   Arxiv:1804.06876   Arxiv:1804.09301   Arxiv:1809.02789   Arxiv:1811.00937   Arxiv:1904.09728   Arxiv:1905.07830   Arxiv:1905.10044   Arxiv:1907.10641   Arxiv:1911.01547   Arxiv:1911.11641   Arxiv:2009.03300   Arxiv:2009.11462   Arxiv:2101.11718   Arxiv:2107.03374   Arxiv:2108.07732   Arxiv:2109.07958   Arxiv:2110.08193   Arxiv:2110.14168   Arxiv:2203.09509   Arxiv:2206.04615   Arxiv:2304.06364   Arxiv:2305.14314   Arxiv:2312.11805   Autotrain compatible   Endpoints compatible   Gemma   Gguf   License:gemma   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Gemma 7B Benchmarks

Rank the Gemma 7B 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  
Gemma 7B (Kota123/gemma-7b)

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Note: green Score (e.g. "73.2") means that the model is better than Kota123/gemma-7b.

Gemma 7B Parameters and Internals

LLM NameGemma 7B
RepositoryOpen on ๐Ÿค— 
Base Model(s)  Gemma 7B   unsloth/gemma-7b
Model Size7b
Required VRAM17.1 GB
Updated2024-07-01
MaintainerKota123
Model Typegemma
Model Files  34.2 GB   5.0 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   2.1 GB: 4-of-4
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureGemmaForCausalLM
Licensegemma
Context Length8192
Model Max Length8192
Transformers Version4.38.0.dev0
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Initializer Range0.02
Torch Data Typebfloat16

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024042801