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Open Instruct Pythia 6.9B Tulu by allenai

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  2192   
  Arxiv:2301.13688   Arxiv:2304.01373   Arxiv:2304.03277   Arxiv:2304.07327   Arxiv:2306.04751   Autotrain compatible Dataset:databricks/databricks-...   Dataset:openassistant/oasst1 Dataset:sahil2801/codealpaca-2...   En   Endpoints compatible   Gpt neox   Instruct   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/allenai/open-instruct-pythia-6.9b-tulu 

Open Instruct Pythia 6.9B Tulu 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").
Open Instruct Pythia 6.9B Tulu (allenai/open-instruct-pythia-6.9b-tulu)

Open Instruct Pythia 6.9B Tulu Parameters and Internals

Model Type 
text generation, instruction tuning
Use Cases 
Areas:
research, commercial applications
Additional Notes 
Simply download and use - this model is not a diff, unlike the other open-instruct models.
Supported Languages 
en (native)
Training Details 
Data Sources:
databricks/databricks-dolly-15k, OpenAssistant/oasst1, sahil2801/CodeAlpaca-20k, FLAN V2, CoT, Dolly, Open Assistant 1, GPT4-Alpaca, Code-Alpaca, ShareGPT
Methodology:
Fine-tuning on a mixture of instruction datasets
Input Output 
Input Format:
<|user|> Your message here! \n<|assistant|> [Make sure to include a newline after `<|assistant|>`.
Accepted Modalities:
text
Output Format:
Text response
Performance Tips:
Make sure to include a newline after `<|assistant|>`, as this can affect generation quality.
LLM NameOpen Instruct Pythia 6.9B Tulu
Repository 🤗https://huggingface.co/allenai/open-instruct-pythia-6.9b-tulu 
Model Size6.9b
Required VRAM27.6 GB
Updated2025-02-22
Maintainerallenai
Model Typegpt_neox
Instruction-BasedYes
Model Files  10.0 GB: 1-of-3   10.0 GB: 2-of-3   7.6 GB: 3-of-3
Supported Languagesen
Model ArchitectureGPTNeoXForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.30.1
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50278
Torch Data Typefloat32

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Rank the Open Instruct Pythia 6.9B 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 v20241227
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