AI Train Repo by SnehaPriyaaMP

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  Arxiv:1910.09700   4-bit   4bit   Autotrain compatible Base model:unsloth/llama-3-8b-...   Bitsandbytes   Endpoints compatible   Llama   Lora   Quantized   Region:us   Safetensors   Sharded   Tensorflow

AI Train Repo Parameters and Internals

LLM NameAI Train Repo
RepositoryOpen on ๐Ÿค— 
Base Model(s)  Llama 3 8B Bnb 4bit   unsloth/llama-3-8b-bnb-4bit
Model Size8b
Required VRAM5.8 GB
Updated2024-07-19
MaintainerSnehaPriyaaMP
Model Files  0.2 GB   4.7 GB: 1-of-2   1.1 GB: 2-of-2
Quantization Type4bit
Model ArchitectureAutoModelForCausalLM
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesgate_proj|q_proj|v_proj|o_proj|down_proj|up_proj|k_proj
LoRA Alpha16
LoRA Dropout0
R Param16
AI Train Repo (SnehaPriyaaMP/AI-Train-Repo)

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Note: green Score (e.g. "73.2") means that the model is better than SnehaPriyaaMP/AI-Train-Repo.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024071601