What are the hardware requirements for LongForm OPT 2.7B?

LongForm OPT 2.7B requires approximately 5.3 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed LongForm OPT 2.7B and how large is it?

LongForm OPT 2.7B is developed by akoksal, a model with 2.7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate LongForm OPT 2.7B?

LongForm OPT 2.7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

LongForm OPT 2.7B by akoksal — VRAM 5.3GB, 2K context

Name: LongForm OPT 2.7B
Author: akoksal

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: 0.06.

Arxiv:2304.08460 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 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 Name	LongForm OPT 2.7B
Repository 🤗	https://huggingface.co/akoksal/LongForm-OPT-2.7B
Model Size	2.7b
Required VRAM	5.3 GB
Updated	2026-07-21
Maintainer	akoksal
Model Type	opt
Instruction-Based	Yes
Model Files	5.3 GB 5.3 GB
Supported Languages	en de it es fr
Model Architecture	OPTForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.26.1
Tokenizer Class	GPT2Tokenizer
Beginning of Sentence Token	</s>
End of Sentence Token	</s>
Unk Token	</s>
Vocabulary Size	50272
Torch Data Type	bfloat16
Activation Function	relu
Errors	replace

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