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Llama 3 8B Instruct 80K Qlora Merged GPTQ by dnola

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  Merged Model   Arxiv:1910.09700   4-bit   Autotrain compatible   Conversational   Endpoints compatible   Gptq   Instruct   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Llama 3 8B Instruct 80K Qlora Merged GPTQ Benchmarks

LLME Score: 0.21947
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Llama 3 8B Instruct 80K Qlora Merged GPTQ Parameters and Internals

LLM NameLlama 3 8B Instruct 80K Qlora Merged GPTQ
Repository 🤗https://huggingface.co/dnola/llama-3-8b-instruct-80k-qlora-merged-GPTQ 
Base Model(s)  ...3 8B Instruct 80K QLoRA Merged   namespace-Pt/Llama-3-8B-Instruct-80K-QLoRA-Merged
Merged ModelYes
Model Size8b
Required VRAM5.8 GB
Updated2024-09-07
Maintainerdnola
Model Typellama
Instruction-BasedYes
Model Files  4.7 GB: 1-of-2   1.1 GB: 2-of-2
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Context Length81920
Model Max Length81920
Transformers Version4.40.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typefloat16
Llama 3 8B Instruct 80K Qlora Merged GPTQ (dnola/llama-3-8b-instruct-80k-qlora-merged-GPTQ)

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Note: green Score (e.g. "73.2") means that the model is better than dnola/llama-3-8b-instruct-80k-qlora-merged-GPTQ.

Rank the Llama 3 8B Instruct 80K Qlora Merged GPTQ 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  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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