Llama3 ChatQA 1.5 70B 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 70B Benchmarks

Llama3 ChatQA 1.5 70B (nvidia/Llama3-ChatQA-1.5-70B)

Llama3 ChatQA 1.5 70B 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 70B
Repository ๐Ÿค—https://huggingface.co/nvidia/Llama3-ChatQA-1.5-70B 
Model Size70b
Required VRAM141.2 GB
Updated2025-02-22
Maintainernvidia
Model Typellama
Model Files  9.7 GB: 1-of-15   9.8 GB: 2-of-15   10.0 GB: 3-of-15   9.8 GB: 4-of-15   9.8 GB: 5-of-15   9.8 GB: 6-of-15   10.0 GB: 7-of-15   9.8 GB: 8-of-15   9.8 GB: 9-of-15   9.8 GB: 10-of-15   10.0 GB: 11-of-15   9.8 GB: 12-of-15   9.8 GB: 13-of-15   9.8 GB: 14-of-15   3.5 GB: 15-of-15
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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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
Text Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227