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Llama3 ChatQA 2 70B by nvidia

 »  All LLMs  »  nvidia  »  Llama3 ChatQA 2 70B   URL Share it on

  45   
  Arxiv:2401.10225   Arxiv:2407.14482   Chatqa   Chatqa-2   En   Llama-3   Nvidia   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/nvidia/Llama3-ChatQA-2-70B 

Llama3 ChatQA 2 70B Benchmarks

LLME Score: 0.2139
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama3 ChatQA 2 70B (nvidia/Llama3-ChatQA-2-70B)

Llama3 ChatQA 2 70B Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
research, commercial applications
Additional Notes 
The assistant indicates when the answer cannot be found in the context.
Training Details 
Data Sources:
ChatQA-1.5 paper, Llama-3 base model
Data Volume:
128K Long-context
Methodology:
Extended context window from 8K to 128K tokens with a three-stage instruction tuning process.
Context Length:
128000
Hardware Used:
Megatron-LM
Model Architecture:
Built on top of the Llama-3 base model to enhance RAG performance and long-context understanding.
Input Output 
Input Format:
When context is available: System: {System} {Context} User: {Question} Assistant: {Response} User: {Question} Assistant: When context is not available: System: {System} User: {Question} Assistant: {Response} User: {Question} Assistant:
Accepted Modalities:
text
Output Format:
Text output suitable for chat interfaces.
Performance Tips:
Optimized for capability with context over documents or retrieved context.
LLM NameLlama3 ChatQA 2 70B
Repository 🤗https://huggingface.co/nvidia/Llama3-ChatQA-2-70B 
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
Context Length131072
Model Max Length131072
Transformers Version4.44.0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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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  
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Release v20241227
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