What are the hardware requirements for OPT 6.7B Erebus Instruct Follow?

OPT 6.7B Erebus Instruct Follow requires approximately 13.8 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 6.7B Erebus Instruct Follow and how large is it?

OPT 6.7B Erebus Instruct Follow is developed by lcw99, a model with 6.7b 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 6.7B Erebus Instruct Follow?

OPT 6.7B Erebus Instruct Follow is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

OPT 6.7B Erebus Instruct Follow by lcw99 — VRAM 13.8GB, 2K context

Name: OPT 6.7B Erebus Instruct Follow
Author: lcw99

OPT 6.7B Erebus Instruct Follow is an open-source language model by lcw99. Features: 6.7b LLM, VRAM: 13.8GB, Context: 2K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.06.

En Endpoints compatible Instruct Opt Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/lcw99/OPT-6.7B-Erebus-instruct-follow

OPT 6.7B Erebus Instruct Follow Parameters and Internals

Model Type

text generation, pytorch, causal-lm

Additional Notes

The model will output X-rated content and is not suitable for use by minors.

Supported Languages

en (fluent)

Input Output

Input Format:

plain text

Accepted Modalities:

text

Output Format:

plain text

LLM Name	OPT 6.7B Erebus Instruct Follow
Repository 🤗	https://huggingface.co/lcw99/OPT-6.7B-Erebus-instruct-follow
Model Size	6.7b
Required VRAM	13.8 GB
Updated	2026-07-24
Maintainer	lcw99
Model Type	opt
Instruction-Based	Yes
Model Files	10.0 GB: 1-of-2 3.8 GB: 2-of-2
Supported Languages	en
Model Architecture	OPTForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.28.0.dev0
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 6.7B Erebus Instruct Follow 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

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Opt Flan Iml 6.7B	2K / 26.6 GB	131	1
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Ev Glaive Math	2K / 27.4 GB	6	0
Ev Glaive Math1	2K / 27.4 GB	5	0
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Note: green Score (e.g. "73.2") means that the model is better than lcw99/OPT-6.7B-Erebus-instruct-follow.