Llama 3 8B RAG V1 by glaiveai

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  Autotrain compatible   Conversational   Dataset:glaiveai/rag-v1   En   Endpoints compatible   Llama   Rag   Region:us   Safetensors   Sharded   Tensorflow

Llama 3 8B RAG V1 Benchmarks

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 RAG V1 (glaiveai/Llama-3-8B-RAG-v1)

Llama 3 8B RAG V1 Parameters and Internals

Model Type 
Retrieval-Augmented Generation, text generation
Use Cases 
Primary Use Cases:
RAG tasks
Additional Notes 
The model responds using specified Answer Modes: Grounded or Mixed, employing document citations.
Supported Languages 
en (fluent)
Training Details 
Data Sources:
glaiveai/RAG-v1
Methodology:
fine-tuning for RAG
Input Output 
Input Format:
Prompt includes system and user roles with text to be answered.
Accepted Modalities:
text
Output Format:
Text generation with grounded information and citations.
Performance Tips:
Maintain prompt format used during fine-tuning.
LLM NameLlama 3 8B RAG V1
Repository ๐Ÿค—https://huggingface.co/glaiveai/Llama-3-8B-RAG-v1 
Model Size8b
Required VRAM32.1 GB
Updated2025-02-22
Maintainerglaiveai
Model Typellama
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
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.41.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token</s>
Vocabulary Size128258
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than glaiveai/Llama-3-8B-RAG-v1.

Rank the Llama 3 8B RAG V1 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