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Open Instruct Human Mix 30B by allenai

 »  All LLMs  »  allenai  »  Open Instruct Human Mix 30B   URL Share it on

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  Arxiv:2301.13688   Arxiv:2302.13971   Arxiv:2304.07327   Arxiv:2306.04751   Autotrain compatible Dataset:databricks/databricks-...   Dataset:openassistant/oasst1   En   Endpoints compatible   Instruct   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/allenai/open-instruct-human-mix-30b 

Open Instruct Human Mix 30B Benchmarks

LLME Score: 0.10655
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Open Instruct Human Mix 30B (allenai/open-instruct-human-mix-30b)

Open Instruct Human Mix 30B Parameters and Internals

Model Type 
Instruction-tuned, Text generation
Supported Languages 
en (Proficient)
Training Details 
Data Sources:
FLAN V2, CoT, Dolly, Open Assistant 1
Methodology:
Finetuning
Model Architecture:
LLaMa
Input Output 
Input Format:
<|user|> Your message here! <|assistant|>
Accepted Modalities:
text
Output Format:
text generation
Performance Tips:
Include a newline after `<|assistant|>` for better generation quality.
LLM NameOpen Instruct Human Mix 30B
Repository 🤗https://huggingface.co/allenai/open-instruct-human-mix-30b 
Model Size30b
Required VRAM130.5 GB
Updated2025-02-22
Maintainerallenai
Model Typellama
Instruction-BasedYes
Model Files  9.9 GB: 1-of-14   9.7 GB: 2-of-14   9.8 GB: 3-of-14   10.0 GB: 4-of-14   9.8 GB: 5-of-14   9.9 GB: 6-of-14   9.9 GB: 7-of-14   9.8 GB: 8-of-14   10.0 GB: 9-of-14   9.8 GB: 10-of-14   9.9 GB: 11-of-14   9.9 GB: 12-of-14   9.8 GB: 13-of-14   2.3 GB: 14-of-14
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.29.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32001
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than allenai/open-instruct-human-mix-30b.

Rank the Open Instruct Human Mix 30B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20241227
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