Gemma7B Konosuba by wirytiox

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  4bit   Autotrain compatible   Conversational   En   Endpoints compatible   Gemma   Gguf   License:apache-2.0   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Rank the Gemma7B Konosuba 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  
Gemma7B Konosuba (wirytiox/Gemma7B-konosuba)

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Gemma7B Konosuba Parameters and Internals

LLM NameGemma7B Konosuba
RepositoryOpen on ๐Ÿค— 
Model Size7b
Required VRAM17.1 GB
Updated2024-07-01
Maintainerwirytiox
Model Typegemma
Model Files  0.0 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
Supported Languagesen
GGUF QuantizationYes
Quantization Type4bit|gguf
Model ArchitectureGemmaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.39.3
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