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Gemma Ft Quote by Eteims

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  Arxiv:2106.09685   Base model:google/gemma-7b   Dataset:abirate/english quotes   En   Endpoints compatible   Generated from trainer   License:gemma   Lora   Region:us   Safetensors   Sft   Tensorboard
Model Card on HF 🤗: https://huggingface.co/Eteims/gemma_ft_quote 
Gemma Ft Quote (Eteims/gemma_ft_quote)

Gemma Ft Quote Parameters and Internals

Model Type 
text-generation
Use Cases 
Primary Use Cases:
Completing popular quotes and adding the author.
Additional Notes 
The model uses 4-bit quantization for efficient usage.
Supported Languages 
en ()
Training Details 
Data Sources:
Abirate/english_quotes
Methodology:
Fine-tuning using LoRA. Example provided by Google.
Input Output 
Input Format:
Text prompts in the form of quotes.
Accepted Modalities:
text
Output Format:
Completed quotes with authors added.
Performance Tips:
Use 4-bit quantization for efficient GPU utilization.
LLM NameGemma Ft Quote
Repository 🤗https://huggingface.co/Eteims/gemma_ft_quote 
Base Model(s)  Gemma 7B   google/gemma-7b
Model Size7b
Required VRAM0.1 GB
Updated2024-07-04
MaintainerEteims
Model Files  0.1 GB   0.0 GB
Supported Languagesen
Model ArchitectureAutoModel
Licensegemma
Is Biasednone
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesgate_proj|q_proj|o_proj|k_proj|up_proj|down_proj|v_proj
LoRA Alpha8
LoRA Dropout0
R Param8

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Note: green Score (e.g. "73.2") means that the model is better than Eteims/gemma_ft_quote.

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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  
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Release v20241227
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