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Open Instruct Opt 6.7B Tulu by allenai

 »  All LLMs  »  allenai  »  Open Instruct Opt 6.7B Tulu   URL Share it on

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  Arxiv:2205.01068   Arxiv:2301.13688   Arxiv:2304.03277   Arxiv:2304.07327   Arxiv:2306.04751   Autotrain compatible Dataset:databricks/databricks-...   Dataset:openassistant/oasst1 Dataset:sahil2801/codealpaca-2...   En   Endpoints compatible   Instruct   Opt   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/allenai/open-instruct-opt-6.7b-tulu 

Open Instruct Opt 6.7B Tulu Benchmarks

LLME Score: 0.11502
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Open Instruct Opt 6.7B Tulu (allenai/open-instruct-opt-6.7b-tulu)

Open Instruct Opt 6.7B Tulu Parameters and Internals

LLM NameOpen Instruct Opt 6.7B Tulu
Repository 🤗https://huggingface.co/allenai/open-instruct-opt-6.7b-tulu 
Model Size6.7b
Required VRAM26.6 GB
Updated2024-12-22
Maintainerallenai
Model Typeopt
Instruction-BasedYes
Model Files  10.0 GB: 1-of-3   9.9 GB: 2-of-3   6.7 GB: 3-of-3
Supported Languagesen
Model ArchitectureOPTForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.30.1
Tokenizer ClassGPT2Tokenizer
Beginning of Sentence Token</s>
End of Sentence Token</s>
Unk Token</s>
Vocabulary Size50265
Torch Data Typefloat32
Activation Functionrelu
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than allenai/open-instruct-opt-6.7b-tulu.

Rank the Open Instruct Opt 6.7B Tulu 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 v20241217
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