What are the hardware requirements for OLMo 2 0425 1B?

OLMo 2 0425 1B requires approximately 6 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed OLMo 2 0425 1B and how large is it?

OLMo 2 0425 1B is developed by allenai, a model with 1b 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 2 0425 1B?

OLMo 2 0425 1B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

OLMo 2 0425 1B by allenai — VRAM 6GB, 4K context

Name: OLMo 2 0425 1B
Author: allenai

OLMo 2 0425 1B is an open-source language model by allenai. Features: 1b LLM, VRAM: 6GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.26.

Arxiv:2501.00656 En Endpoints compatible Olmo2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/allenai/OLMo-2-0425-1B

OLMo 2 0425 1B Parameters and Internals

LLM Name	OLMo 2 0425 1B
Repository 🤗	https://huggingface.co/allenai/OLMo-2-0425-1B
Model Size	1b
Required VRAM	6 GB
Updated	2026-07-13
Maintainer	allenai
Model Type	olmo2
Model Files	5.0 GB: 1-of-2 1.0 GB: 2-of-2
Supported Languages	en
Model Architecture	Olmo2ForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.50.3
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|pad\|>
Vocabulary Size	100352
Torch Data Type	float32

Rank the OLMo 2 0425 1B 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

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