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RedPajama INCITE 7B Instruct by togethercomputer

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  Autotrain compatible Dataset:togethercomputer/redpa... Dataset:togethercomputer/redpa...   En   Endpoints compatible   Gpt neox   Instruct   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/togethercomputer/RedPajama-INCITE-7B-Instruct 

RedPajama INCITE 7B Instruct Benchmarks

MMLU Pro: 3.03
GPQA: 0.11
MUSR: 5.03
BBH: 7.91
IFEval: 20.55 vs 88 (so35)-76.6%
ARC: 44.11 vs 96.7 (so35)-54.4%
HellaSwag: 72.02 vs 95.3 (gpt4)-24.4%
MMLU: 37.62 vs 88.3 (so35)-57.4%
TruthfulQA: 33.96 vs 59 (gpt4)-42.4%
WinoGrande: 64.96 vs 87.5 (gpt4)-25.8%
GSM8K: 1.59 vs 96.4 (so35)-98.4%
MATH Lvl 5: 2.11
LLME Score: 0.15641
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
RedPajama INCITE 7B Instruct (togethercomputer/RedPajama-INCITE-7B-Instruct)
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RedPajama INCITE 7B Instruct Parameters and Internals

Model Type 
Language Model
Use Cases 
Areas:
Language Modeling
Limitations:
The model may not perform well for use cases outside of its intended scope., Not suitable for safety-critical applications or decisions impacting individuals or society.
Additional Notes 
The model requires 'transformers' version >= 4.25.1 for inference.
Supported Languages 
en (high)
Training Details 
Data Sources:
togethercomputer/RedPajama-Data-1T
Data Volume:
1B tokens
Methodology:
Instruction-tuned
Hardware Used:
8 A100
LLM NameRedPajama INCITE 7B Instruct
Repository 🤗https://huggingface.co/togethercomputer/RedPajama-INCITE-7B-Instruct 
Model Size7b
Required VRAM13.8 GB
Updated2025-09-23
Maintainertogethercomputer
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 Version4.28.1
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50432
Torch Data Typefloat16

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Rank the RedPajama INCITE 7B Instruct 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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Release v20241124
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