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: 0.12.

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 Benchmarks

LLME Score: 0.1208

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

OLMo 7B Twin 2T (allenai/OLMo-7B-Twin-2T)

🌟 Advertise your project 🚀

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	2026-04-23
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

Best Alternatives to OLMo 7B Twin 2T

Best Alternatives	Context / RAM	Downloads	Likes
OLMo 7B Instruct	0K / 13.7 GB	1157	54
OLMo 7B	0K / 27.6 GB	2370	652
OLMo 7B 0424	0K / 27.6 GB	978	51
OLMo 1.7 7B	0K / 27.6 GB	46	43
OLMo 7B SFT	0K / 13.7 GB	747	4

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

Rank the OLMo 7B Twin 2T Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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

What open-source LLMs or SLMs are you in search of? 53999 in total.

Email us: info@extractum.io. Our Privacy Policy | Terms and Conditions | Suggest an improvement.

Our Social Media →

Original data from HuggingFace, OpenCompass and various public git repos.

Check out Ag3ntum — our secure, self-hosted AI agent for server management.

Release v20260328a

Support LLM Explorer

OLMo 7B Twin 2T by allenai

» All LLMs » allenai » OLMo 7B Twin 2T URL Share it on

OLMo 7B Twin 2T Benchmarks

OLMo 7B Twin 2T Parameters and Internals

Best Alternatives to OLMo 7B Twin 2T

Rank the OLMo 7B Twin 2T Capabilities

What open-source LLMs or SLMs are you in search of? 53999 in total.