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Scitulu 7B by allenai

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  Arxiv:2406.07835   Autotrain compatible Dataset:allenai/sciriff-train-... Dataset:allenai/tulu-v2-sft-mi...   En   Endpoints compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/allenai/scitulu-7b 

Scitulu 7B Benchmarks

LLME Score: 0.19196
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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Scitulu 7B Parameters and Internals

Model Type 
instruction-following, scientific literature understanding
Use Cases 
Areas:
scientific literature understanding
Considerations:
See the Tulu model card for information on potential risks, biases, and limitations.
Additional Notes 
SciTulu is a collection of instruction-following language models targeting scientific literature understanding use cases.
Supported Languages 
en (English)
Training Details 
Data Sources:
allenai/SciRIFF-train-mix, allenai/tulu-v2-sft-mixture
Methodology:
SciTulu is trained on a mix of science-specific demonstrations and general-domain instructions.
LLM NameScitulu 7B
Repository 🤗https://huggingface.co/allenai/scitulu-7b 
Model Size7b
Required VRAM13.5 GB
Updated2025-06-11
Maintainerallenai
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16
Scitulu 7B (allenai/scitulu-7b)

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Note: green Score (e.g. "73.2") means that the model is better than allenai/scitulu-7b.

Rank the Scitulu 7B 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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