What are the hardware requirements for Opt 2.7B Wikitext2?

Opt 2.7B Wikitext2 requires approximately 11.1 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 Opt 2.7B Wikitext2 and how large is it?

Opt 2.7B Wikitext2 is developed by lnair, 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 Opt 2.7B Wikitext2?

Opt 2.7B Wikitext2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Opt 2.7B Wikitext2 by lnair — VRAM 11.1GB, 2K context

Name: Opt 2.7B Wikitext2
Author: lnair

Opt 2.7B Wikitext2 is an open-source language model by lnair. Features: 2.7b LLM, VRAM: 11.1GB, Context: 2K, LLM Explorer Score: 0.06.

Dataset:wikitext Endpoints compatible Generated from trainer Opt Pytorch Region:us Sharded Tensorboard

Model Card on HF 🤗: https://huggingface.co/lnair/opt-2.7b-wikitext2

Opt 2.7B Wikitext2 Parameters and Internals

Model Type

Language Model

Additional Notes

Training uses Adam optimizer with betas=(0.9,0.999), epsilon=1e-08, learning rate of 3e-05, train and eval batch sizes of 2, using a linear learning rate scheduler over 2 epochs with seed 42.

Training Details

Data Sources:

wikitext-2-raw-v1

Model Architecture:

Fine-tuned version of the OPT model

LLM Name	Opt 2.7B Wikitext2
Repository 🤗	https://huggingface.co/lnair/opt-2.7b-wikitext2
Model Size	2.7b
Required VRAM	11.1 GB
Updated	2026-05-13
Maintainer	lnair
Model Type	opt
Model Files	10.0 GB: 1-of-2 1.1 GB: 2-of-2 0.0 GB
Model Architecture	OPTForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.27.4
Tokenizer Class	GPT2Tokenizer
Beginning of Sentence Token	</s>
End of Sentence Token	</s>
Unk Token	</s>
Vocabulary Size	50272
Torch Data Type	float32
Activation Function	relu
Errors	replace

Rank the Opt 2.7B Wikitext2 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to Opt 2.7B Wikitext2

Best Alternatives	Context / RAM	Downloads	Likes
LLmRa 2.7B	2K / 10.6 GB	642	1
Opt 2.7B	2K / 5.3 GB	35827	89
OPT 2.7B Nerybus Mix	2K / 5.5 GB	194	10
OPT 2.7B Erebus	2K / 5.3 GB	380	42
OPT 2.7B Nerys V2	2K / 5.3 GB	124	6
Opt 2.7B Realtime Chat V2	2K / 11.1 GB	9	0
LongForm OPT 2.7B	2K / 5.3 GB	5	3
Opt 2.7B Realtime Chat	2K / 11.1 GB	7	2
Opt Peter 2.7B	2K / 10.6 GB	2	2
Opt 2.7B AWQ	2K / 1.6 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than lnair/opt-2.7b-wikitext2.