What are the hardware requirements for OPT 2.7B Nerybus Mix?

OPT 2.7B Nerybus Mix requires approximately 5.5 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 Nerybus Mix and how large is it?

OPT 2.7B Nerybus Mix is developed by KoboldAI, 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.

How does OPT 2.7B Nerybus Mix perform on standard benchmarks?

OPT 2.7B Nerybus Mix has the following published scores: MMLU 26.6. Compare against reference models on this page or on the LLM Explorer leaderboards.

OPT 2.7B Nerybus Mix by KoboldAI — VRAM 5.5GB, 2K context

Name: OPT 2.7B Nerybus Mix
Author: KoboldAI

OPT 2.7B Nerybus Mix is an open-source language model by KoboldAI. Features: 2.7b LLM, VRAM: 5.5GB, Context: 2K, License: other, LLM Explorer Score: 0.1, Arc: 33.7, HellaSwag: 61.2, MMLU: 26.6, GSM8K: 0.2.

En Opt Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/KoboldAI/OPT-2.7B-Nerybus-Mix

OPT 2.7B Nerybus Mix Parameters and Internals

Model Type

text generation

Additional Notes

Recommended to use with KoboldAI software. For feedback, contact Concedo on the KoboldAI discord.

Supported Languages

en (High Proficiency)

Training Details

Methodology:

Parameter-wise 50/50 blend (weighted average) of NerysV2-2.7B and ErebusV1-2.7B

Context Length:

1024

LLM Name	OPT 2.7B Nerybus Mix
Repository 🤗	https://huggingface.co/KoboldAI/OPT-2.7B-Nerybus-Mix
Model Size	2.7b
Required VRAM	5.5 GB
Updated	2026-07-21
Maintainer	KoboldAI
Model Type	opt
Model Files	2.0 GB: 1-of-3 2.0 GB: 2-of-3 1.5 GB: 3-of-3
Supported Languages	en
Model Architecture	OPTForCausalLM
License	other
Context Length	2048
Model Max Length	2048
Transformers Version	4.24.0
Tokenizer Class	GPT2Tokenizer
Beginning of Sentence Token	</s>
End of Sentence Token	</s>
Unk Token	</s>
Vocabulary Size	50265
Torch Data Type	float16
Activation Function	relu
Errors	replace

Rank the OPT 2.7B Nerybus Mix 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 Nerybus Mix

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 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 Wikitext2	2K / 11.1 GB	6	0
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 KoboldAI/OPT-2.7B-Nerybus-Mix.