What are the hardware requirements for OLMo 7B Twin 2T?

OLMo 7B Twin 2T requires approximately 27.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed OLMo 7B Twin 2T and how large is it?

OLMo 7B Twin 2T is developed by allenai, a model with 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 OLMo 7B Twin 2T?

OLMo 7B Twin 2T is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

OLMo 7B Twin 2T by allenai — VRAM 27.6GB

Name: OLMo 7B Twin 2T
Author: allenai

OLMo 7B Twin 2T is an open-source language model by allenai. Features: 7b LLM, VRAM: 27.6GB, License: apache-2.0, LLM Explorer Score: 0.11.

Arxiv:2302.13971 Arxiv:2402.00838 Custom code Dataset:allenai/dolma En Hf olmo Pytorch Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/allenai/OLMo-7B-Twin-2T

OLMo 7B Twin 2T Parameters and Internals

Model Type

transformer, autoregressive language model

Supported Languages

en (high)

Training Details

Data Sources:

Dolma dataset

Data Volume:

2 Trillion tokens

Methodology:

Uses a Transformer architecture

Context Length:

2048

Hardware Used:

MI250X (LUMI Supercomputer), A100-40GB (MosaicML)

Model Architecture:

4096 hidden size, 32 layers, 32 attention heads

Input Output

Accepted Modalities:

text

LLM Name	OLMo 7B Twin 2T
Repository 🤗	https://huggingface.co/allenai/OLMo-7B-Twin-2T
Model Size	7b
Required VRAM	27.6 GB
Updated	2026-06-29
Maintainer	allenai
Model Type	hf_olmo
Model Files	27.6 GB 27.6 GB
Supported Languages	en
Model Architecture	OLMoForCausalLM
License	apache-2.0
Transformers Version	4.36.2
Tokenizer Class	OLMoTokenizer
Padding Token	<\|padding\|>
Vocabulary Size	50280

Rank the OLMo 7B Twin 2T 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 OLMo 7B Twin 2T

Best Alternatives	Context / RAM	Downloads	Likes
OLMo 7B Instruct	0K / 13.7 GB	475	53
OLMo 7B	0K / 27.6 GB	2343	653
OLMo 7B 0424	0K / 27.6 GB	108	51
OLMo 1.7 7B	0K / 27.6 GB	46	43
OLMo 7B SFT	0K / 13.7 GB	33	4

Note: green Score (e.g. "73.2") means that the model is better than allenai/OLMo-7B-Twin-2T.