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Llama3 DocChat 1.0 8B by cerebras

 »  All LLMs  »  cerebras  »  Llama3 DocChat 1.0 8B   URL Share it on

  28   
  Arxiv:2401.10225   Arxiv:2402.16671   Cerebras   Conversational   Doc-chat   Docchat   En   Llama   Llama-3   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/cerebras/Llama3-DocChat-1.0-8B 

Llama3 DocChat 1.0 8B Benchmarks

LLME Score: 0.19869
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Llama3 DocChat 1.0 8B Parameters and Internals

Model Type 
text generation, question-answering
Use Cases 
Areas:
Conversational question answering, Document-based Q&A
Applications:
Document analysis, Help desk automation
Primary Use Cases:
Conversational QA
Limitations:
Non-commercial use, Limited training data
Considerations:
The model should indicate when the answer can't be found in the context.
Supported Languages 
English (fluently)
Training Details 
Data Sources:
Llama 3, ChatQA synthetic conversational QA dataset
Methodology:
Synthetic data generation and document-based Q&A insights.
Training Time:
a few hours
Hardware Used:
Cerebras System
Model Architecture:
Based on Llama 3 with document-based Q&A insights.
Input Output 
Input Format:
Standard Llama3 Instruct chat template.
Accepted Modalities:
text
Output Format:
Text responses
Performance Tips:
Prepend the user turn with the document content.
LLM NameLlama3 DocChat 1.0 8B
Repository 🤗https://huggingface.co/cerebras/Llama3-DocChat-1.0-8B 
Model Size8b
Required VRAM32 GB
Updated2025-06-09
Maintainercerebras
Model Typellama
Model Files  9.9 GB: 1-of-4   10.0 GB: 2-of-4   9.8 GB: 3-of-4   2.3 GB: 4-of-4
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Llama3 DocChat 1.0 8B (cerebras/Llama3-DocChat-1.0-8B)

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Note: green Score (e.g. "73.2") means that the model is better than cerebras/Llama3-DocChat-1.0-8B.

Rank the Llama3 DocChat 1.0 8B Capabilities

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Instruction Following and Task Automation  
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