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Model by taradepan

 »  All LLMs  »  taradepan  »  Model   URL Share it on

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  4bit   Autotrain compatible Base model:finetune:unsloth/ge... Base model:unsloth/gemma-7b-bn...   En   Endpoints compatible   Gemma   Pytorch   Quantized   Region:us   Sft   Sharded   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/taradepan/model 

Model Benchmarks

LLME Score: 0.18666
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Model (taradepan/model)

Model Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, gemma, trl, sft
Additional Notes 
The model was finetuned from unsloth/gemma-7b-bnb-4bit
Training Details 
Methodology:
Unsuloth and Huggingface's TRL library were used to train the model 2x faster.
LLM NameModel
Repository 🤗https://huggingface.co/taradepan/model 
Base Model(s)  Gemma 7B Bnb 4bit   unsloth/gemma-7b-bnb-4bit
Model Size7b
Required VRAM17.1 GB
Updated2025-03-22
Maintainertaradepan
Model Typegemma
Model Files  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
Quantization Type4bit
Model ArchitectureGemmaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.41.2
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typefloat16

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Gemma 7B Bnb 4bit8K / 5.6 GB391318
Codegemma 7B It 4bit8K / 5.9 GB141
Codegemma 7B 4bit8K / 5.9 GB80
Codegemma 7B Bnb 4bit8K / 5.6 GB10043
Gemma 1.1 7B It 4bit8K / 5.9 GB114
Note: green Score (e.g. "73.2") means that the model is better than taradepan/model.

Rank the Model 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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