What are the hardware requirements for Open Instruct Opt 6.7B Tulu?

Open Instruct Opt 6.7B Tulu requires approximately 26.6 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 Open Instruct Opt 6.7B Tulu and how large is it?

Open Instruct Opt 6.7B Tulu is developed by allenai, 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 Open Instruct Opt 6.7B Tulu?

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

Open Instruct Opt 6.7B Tulu by allenai — VRAM 26.6GB, 2K context

Name: Open Instruct Opt 6.7B Tulu
Author: allenai

Open Instruct Opt 6.7B Tulu is an open-source language model by allenai. Features: 6.7b LLM, VRAM: 26.6GB, Context: 2K, Instruction-Based, LLM Explorer Score: 0.07.

Arxiv:2205.01068 Arxiv:2301.13688 Arxiv:2304.03277 Arxiv:2304.07327 Arxiv:2306.04751 Dataset:databricks/databricks-... Dataset:openassistant/oasst1 Dataset:sahil2801/codealpaca-2... En Endpoints compatible Instruct Opt Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/allenai/open-instruct-opt-6.7b-tulu

Open Instruct Opt 6.7B Tulu Parameters and Internals

LLM Name	Open Instruct Opt 6.7B Tulu
Repository 🤗	https://huggingface.co/allenai/open-instruct-opt-6.7b-tulu
Model Size	6.7b
Required VRAM	26.6 GB
Updated	2026-07-18
Maintainer	allenai
Model Type	opt
Instruction-Based	Yes
Model Files	10.0 GB: 1-of-3 9.9 GB: 2-of-3 6.7 GB: 3-of-3
Supported Languages	en
Model Architecture	OPTForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.30.1
Tokenizer Class	GPT2Tokenizer
Beginning of Sentence Token	</s>
End of Sentence Token	</s>
Unk Token	</s>
Vocabulary Size	50265
Torch Data Type	float32
Activation Function	relu
Errors	replace

Rank the Open Instruct Opt 6.7B Tulu 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

Best Alternatives to Open Instruct Opt 6.7B Tulu

Best Alternatives	Context / RAM	Downloads	Likes
Galactica 6.7B EssayWriter	2K / 13.4 GB	55	5
Opt Flan Iml 6.7B	2K / 26.6 GB	131	1
...lactica 6.7B Evol Instruct 70K	2K / 27.4 GB	129	19
OPI Galactica 6.7B	2K / 13.4 GB	116	6
Ev Glaive Math	2K / 27.4 GB	6	0
Ev Glaive Math1	2K / 27.4 GB	5	0
LongForm OPT 6.7B	2K / 13.3 GB	15	4
...PT 6.7B Erebus Instruct Follow	2K / 13.8 GB	11	3

Note: green Score (e.g. "73.2") means that the model is better than allenai/open-instruct-opt-6.7b-tulu.