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Gemma7B Konosuba by wirytiox

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  4bit   Autotrain compatible   Conversational   En   Endpoints compatible   Gemma   Gguf   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/wirytiox/Gemma7B-konosuba 

Gemma7B Konosuba Benchmarks

LLME Score: 0.14732
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma7B Konosuba (wirytiox/Gemma7B-konosuba)
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Gemma7B Konosuba Parameters and Internals

Additional Notes 
A future finetune is planned for improved performance.
Supported Languages 
en ()
Training Details 
Data Sources:
konosuba script
Methodology:
finetuning
Model Architecture:
Gemma 7B
Release Notes 
Version:
1.0.0
Notes:
Intermediate model finetuned with all Konosuba scripts.
LLM NameGemma7B Konosuba
Repository 🤗https://huggingface.co/wirytiox/Gemma7B-konosuba 
Model Size7b
Required VRAM17.1 GB
Updated2025-09-23
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
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than wirytiox/Gemma7B-konosuba.

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  

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Release v20241124
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