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RedPajama 7B Chat Curated by snorkelai

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  Autotrain compatible Dataset:snorkelai/snorkel-cura...   En   Endpoints compatible   Gpt neox   Instruct   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/snorkelai/RedPajama-7B-Chat-Curated 

RedPajama 7B Chat Curated Benchmarks

LLME Score: 0.09174
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
RedPajama 7B Chat Curated (snorkelai/RedPajama-7B-Chat-Curated)
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RedPajama 7B Chat Curated Parameters and Internals

Model Type 
Language Model
Use Cases 
Limitations:
Not suitable for safety-critical applications, Not reliable for making significant social or individual decisions
Considerations:
Use responsibly and ethically.
Supported Languages 
English (proficient)
Training Details 
Data Sources:
snorkelai/snorkel-curated-instruction-tuning
Data Volume:
3.8M tokens
Methodology:
Fine-tuning
Hardware Used:
8 A100 GPUs
Input Output 
Input Format:
[Chat] :
Accepted Modalities:
text
Output Format:
text
LLM NameRedPajama 7B Chat Curated
Repository 🤗https://huggingface.co/snorkelai/RedPajama-7B-Chat-Curated 
Model Size7b
Required VRAM13.8 GB
Updated2025-08-18
Maintainersnorkelai
Model Typegpt_neox
Instruction-BasedYes
Model Files  10.0 GB: 1-of-2   3.8 GB: 2-of-2
Supported Languagesen
Model ArchitectureGPTNeoXForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.29.2
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50432
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than snorkelai/RedPajama-7B-Chat-Curated.

Rank the RedPajama 7B Chat Curated Capabilities

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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  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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