Auto RAG Llama 3 8B Instruct by ICTNLP

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  Arxiv:2411.19443   Autotrain compatible   Conversational   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow

Auto RAG Llama 3 8B Instruct Benchmarks

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

Auto RAG Llama 3 8B Instruct Parameters and Internals

LLM NameAuto RAG Llama 3 8B Instruct
Repository ๐Ÿค—https://huggingface.co/ICTNLP/Auto-RAG-Llama-3-8B-Instruct 
Model Size8b
Required VRAM32.1 GB
Updated2025-04-24
MaintainerICTNLP
Model Typellama
Instruction-BasedYes
Model Files  4.9 GB: 1-of-7   4.8 GB: 2-of-7   5.0 GB: 3-of-7   5.0 GB: 4-of-7   4.8 GB: 5-of-7   5.0 GB: 6-of-7   2.6 GB: 7-of-7
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.43.3
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than ICTNLP/Auto-RAG-Llama-3-8B-Instruct.

Rank the Auto RAG Llama 3 8B Instruct 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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227