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Llama 2 7B Chat by meta-llama

 »  All LLMs  »  meta-llama  »  Llama 2 7B Chat   URL Share it on

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  Arxiv:2307.09288   En   Facebook   Llama   Llama2   Meta   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/meta-llama/Llama-2-7b-chat 

Llama 2 7B Chat Benchmarks

LLME Score: 0.12856
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 2 7B Chat (meta-llama/Llama-2-7b-chat)
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Llama 2 7B Chat Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
commercial, research
Primary Use Cases:
assistant-like chat
Limitations:
Use in any manner that violates laws; Use in languages other than English
Additional Notes 
Intended for English; includes new human-annotated examples.
Training Details 
Data Volume:
2 trillion tokens
Methodology:
Uses supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF)
Context Length:
4000
Hardware Used:
Meta's Research Super Cluster, third-party cloud compute
Model Architecture:
Auto-regressive language model with optimized transformer architecture
Safety Evaluation 
Methodologies:
internal evaluations library
Ethical Considerations:
Testing has been in English and cannot cover all scenarios; potential outputs cannot be predicted in advance.
Input Output 
Input Format:
text only
Accepted Modalities:
text
Output Format:
text only
Performance Tips:
Specific formatting with INST and <> tags, BOS and EOS tokens for chat versions.
LLM NameLlama 2 7B Chat
Repository 🤗https://huggingface.co/meta-llama/Llama-2-7b-chat 
Model Size7b
Updated2025-09-18
Maintainermeta-llama
Supported Languagesen
Model ArchitectureMambaSSM
Licensellama2
Vocabulary Size-1

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Note: green Score (e.g. "73.2") means that the model is better than meta-llama/Llama-2-7b-chat.

Rank the Llama 2 7B Chat Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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  
Multi-Language Support and Translation  

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Release v20241124
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