Llama3 ChatQA 1.5 8B by nvidia

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  Arxiv:2401.10225   Autotrain compatible   Chatqa   Chatqa-1.5   Conversational   En   Endpoints compatible   Llama   Llama-3   Nvidia   Pytorch   Region:us   Safetensors   Sharded   Tensorflow

Llama3 ChatQA 1.5 8B Benchmarks

Llama3 ChatQA 1.5 8B (nvidia/Llama3-ChatQA-1.5-8B)

Llama3 ChatQA 1.5 8B Parameters and Internals

Model Type 
text-generation, conversational QA, RAG
Additional Notes 
Optimized for contexts, performs retrieval over large documents.
Supported Languages 
en (proficient)
Training Details 
Data Sources:
HybriDial training dataset
Methodology:
Improved training recipe from ChatQA paper with additional conversational QA data
Input Output 
Input Format:
Input format based on retrieval and chat structure
Accepted Modalities:
text
Output Format:
conversation completion
Performance Tips:
Optimize for contexts, especially retrieval from long documents.
LLM NameLlama3 ChatQA 1.5 8B
Repository ๐Ÿค—https://huggingface.co/nvidia/Llama3-ChatQA-1.5-8B 
Model Size8b
Required VRAM16.1 GB
Updated2025-02-22
Maintainernvidia
Model Typellama
Model Files  10.0 GB: 1-of-2   6.1 GB: 2-of-2
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.40.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

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Llama3 ChatQA 1.5 8B AWQ0815 GB
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Note: green Score (e.g. "73.2") means that the model is better than nvidia/Llama3-ChatQA-1.5-8B.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227