Llama 3 8B Finetuned by fay-ong

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  4-bit   4bit   Adapter Base model:unsloth/llama-3-8b-...   Bitsandbytes   Finetuned   Generated from trainer   Instruct   License:apache-2.0   Llama   Llama-factory   Lora   Peft   Quantized   Region:us   Safetensors   Tensorboard   Unsloth

Rank the Llama 3 8B Finetuned 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  
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.

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
Updated2024-06-24
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 Modulesgate_proj|o_proj|down_proj|k_proj|up_proj|q_proj|v_proj
LoRA Alpha16
LoRA Dropout0
R Param8

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024042801