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LongForm OPT 2.7B by akoksal

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LongForm OPT 2.7B is an open-source language model by akoksal. Features: 2.7b LLM, VRAM: 5.3GB, Context: 2K, Instruction-Based, LLM Explorer Score: 0.07.

  Arxiv:2304.08460   Autotrain compatible   Dataset:akoksal/longform   De   En   Endpoints compatible   Es   Fr   Instruct   It   Multilingual   Opt   Pytorch   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/akoksal/LongForm-OPT-2.7B 

LongForm OPT 2.7B Benchmarks

LLME Score: 0.07276
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
LongForm OPT 2.7B (akoksal/LongForm-OPT-2.7B)
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LongForm OPT 2.7B Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
research, commercial applications
Applications:
essay generation, instruction-following tasks, language generation
Primary Use Cases:
text generation, instruction-tuning
Limitations:
Structured prediction tasks limitations, Hallucination problems similar to LLMs
Supported Languages 
en (native), multilingual (support), de (native), it (native), es (native), fr (native)
Training Details 
Data Sources:
C4, Wikipedia, Stack Exchange, WikiHow
Methodology:
Instruction tuning with reverse instructions
Input Output 
Input Format:
Instruction followed by [EOI]
Accepted Modalities:
text
Output Format:
Textual response
Release Notes 
Version:
2.7B
Notes:
Part of the LongForm series focused on long text generation using reverse instructions.
LLM NameLongForm OPT 2.7B
Repository 🤗https://huggingface.co/akoksal/LongForm-OPT-2.7B 
Model Size2.7b
Required VRAM5.3 GB
Updated2025-09-23
Maintainerakoksal
Model Typeopt
Instruction-BasedYes
Model Files  5.3 GB   5.3 GB
Supported Languagesen de it es fr
Model ArchitectureOPTForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.26.1
Tokenizer ClassGPT2Tokenizer
Beginning of Sentence Token</s>
End of Sentence Token</s>
Unk Token</s>
Vocabulary Size50272
Torch Data Typebfloat16
Activation Functionrelu
Errorsreplace

Rank the LongForm OPT 2.7B 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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