Llama3 P8 V2 by kishorea

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  Arxiv:1910.09700   8-bit   Autotrain compatible   Conversational   Endpoints compatible   Llama   Lora   Region:us   Safetensors   Sharded   Tensorflow

Rank the Llama3 P8 V2 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  
Llama3 P8 V2 (kishorea/Llama3_p8_v2)

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Llama3 P8 V2 Parameters and Internals

LLM NameLlama3 P8 V2
RepositoryOpen on ๐Ÿค— 
Model Size8b
Required VRAM9.1 GB
Model Files  0.1 GB   5.0 GB: 1-of-2   4.1 GB: 2-of-2
Model ArchitectureAutoModelForCausalLM
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|begin_of_text|>
LoRA ModelYes
PEFT Target Modulesq_proj|v_proj|k_proj
LoRA Alpha16
LoRA Dropout0.1
R Param32

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