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Gemma 7B Bnb 4bit by tung2308

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  4bit   Autotrain compatible Base model:finetune:unsloth/ge... Base model:unsloth/gemma-7b-bn...   En   Endpoints compatible   Gemma   Lora   Pytorch   Quantized   Region:us   Safetensors   Sft   Sharded   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/tung2308/gemma-7b-bnb-4bit 

Gemma 7B Bnb 4bit Benchmarks

LLME Score: 0.20296
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma 7B Bnb 4bit (tung2308/gemma-7b-bnb-4bit)

Gemma 7B Bnb 4bit Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, gemma, trl, sft
Additional Notes 
This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
Training Details 
Methodology:
unsloth, Huggingface's TRL library
Training Time:
2x faster
LLM NameGemma 7B Bnb 4bit
Repository 🤗https://huggingface.co/tung2308/gemma-7b-bnb-4bit 
Base Model(s)  Gemma 7B Bnb 4bit   unsloth/gemma-7b-bnb-4bit
Model Size7b
Required VRAM17.1 GB
Updated2024-12-22
Maintainertung2308
Model Files  0.2 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
Supported Languagesen
Quantization Type4bit
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Model Max Length8192
Is Biasednone
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Moduleso_proj|up_proj|q_proj|down_proj|k_proj|gate_proj|v_proj
LoRA Alpha16
LoRA Dropout0
R Param16

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Note: green Score (e.g. "73.2") means that the model is better than tung2308/gemma-7b-bnb-4bit.

Rank the Gemma 7B Bnb 4bit 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 v20241217
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