Meta Llama 3 8B GPTQ by mridul161203

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  Arxiv:1910.09700   4-bit   Autotrain compatible   Endpoints compatible   Gptq   Llama   Lora   Pytorch   Quantized   Region:us   Safetensors

Meta Llama 3 8B GPTQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Meta Llama 3 8B GPTQ (mridul161203/Meta-llama-3-8B-GPTQ)

Meta Llama 3 8B GPTQ Parameters and Internals

LLM NameMeta Llama 3 8B GPTQ
Repository ๐Ÿค—https://huggingface.co/mridul161203/Meta-llama-3-8B-GPTQ 
Base Model(s)  ...sh Attention 2 Cosine Evaldata   frankmorales2020/POC-NEW-Meta-Llama-3-8B-MEDAL-flash-attention-2-cosine-evaldata
Model Size8b
Required VRAM5.7 GB
Updated2025-02-20
Maintainermridul161203
Model Files  0.0 GB   5.7 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureAutoModelForCausalLM
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|v_proj
LoRA Alpha16
LoRA Dropout0.05
R Param8

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Note: green Score (e.g. "73.2") means that the model is better than mridul161203/Meta-llama-3-8B-GPTQ.

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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 v20241227