Llama 3 8B Finetuned by fay-ong

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Llama 3 8B Finetuned Parameters and Internals

LLM NameLlama 3 8B Finetuned
RepositoryOpen on ๐Ÿค— 
Base Model(s)  Llama 3 8B Instruct Bnb 4bit   unsloth/llama-3-8b-Instruct-bnb-4bit
Model Size8b
Required VRAM0.1 GB
Updated2024-07-26
Maintainerfay-ong
Instruction-BasedYes
Model Files  0.1 GB   0.0 GB
Quantization Type4bit
Model ArchitectureAdapter
Licenseapache-2.0
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_250|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesv_proj|o_proj|gate_proj|q_proj|k_proj|up_proj|down_proj
LoRA Alpha16
LoRA Dropout0
R Param8
Llama 3 8B Finetuned (fay-ong/llama-3-8b-finetuned)

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Note: green Score (e.g. "73.2") means that the model is better than fay-ong/llama-3-8b-finetuned.

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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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072501