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Open Instruct Flan V2 7B by allenai

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Open Instruct Flan V2 7B is an open-source language model by allenai. Features: 7b LLM, VRAM: 27GB, Context: 2K, Instruction-Based, LLM Explorer Score: 0.08.

  Arxiv:2301.13688   Arxiv:2302.13971   Arxiv:2306.04751   En   Endpoints compatible   Instruct   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/allenai/open-instruct-flan-v2-7b 

Open Instruct Flan V2 7B Benchmarks

LLME Score: 0.07831
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Open Instruct Flan V2 7B (allenai/open-instruct-flan-v2-7b)
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Open Instruct Flan V2 7B Parameters and Internals

Model Type 
Instruction Tuning
Additional Notes 
Requires converting LLaMa model to HF format for use. Model diff approach is used for training.
Training Details 
Data Sources:
Flan V2 dataset
Methodology:
This model is a 7B LLaMa model finetuned on the Flan V2 dataset.
Input Output 
Input Format:
<|user|> Your message here! <|assistant|>
Performance Tips:
Format all inputs in the specified manner for best results.
LLM NameOpen Instruct Flan V2 7B
Repository 🤗https://huggingface.co/allenai/open-instruct-flan-v2-7b 
Model Size7b
Required VRAM27 GB
Updated2025-12-22
Maintainerallenai
Model Typellama
Instruction-BasedYes
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   7.2 GB: 3-of-3
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-flan-v2-7b.

Rank the Open Instruct Flan V2 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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