What are the hardware requirements for Olmo 3 32B Think DPO?

Olmo 3 32B Think DPO requires approximately 64.7 GB of VRAM and supports a context window of 64K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Olmo 3 32B Think DPO and how large is it?

Olmo 3 32B Think DPO is developed by allenai, a model with 32b 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 3 32B Think DPO?

Olmo 3 32B Think DPO is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Olmo 3 32B Think DPO by allenai — VRAM 64.7GB, 64K context

Name: Olmo 3 32B Think DPO
Author: allenai

Olmo 3 32B Think DPO is an open-source language model by allenai. Features: 32b LLM, VRAM: 64.7GB, Context: 64K, License: apache-2.0, LLM Explorer Score: 0.25.

Arxiv:2512.13961 Base model:allenai/olmo-3-32b-... Base model:finetune:allenai/ol... Conversational Dataset:allenai/dolci-think-dp... En Endpoints compatible Olmo3 Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/allenai/Olmo-3-32B-Think-DPO

Olmo 3 32B Think DPO Parameters and Internals

LLM Name	Olmo 3 32B Think DPO
Repository 🤗	https://huggingface.co/allenai/Olmo-3-32B-Think-DPO
Base Model(s)	Olmo 3 32B Think SFT allenai/Olmo-3-32B-Think-SFT
Model Size	32b
Required VRAM	64.7 GB
Updated	2026-07-08
Maintainer	allenai
Model Type	olmo3
Model Files	5.0 GB: 1-of-14 4.9 GB: 2-of-14 4.9 GB: 3-of-14 4.9 GB: 4-of-14 4.9 GB: 5-of-14 4.9 GB: 6-of-14 4.9 GB: 7-of-14 4.9 GB: 8-of-14 4.9 GB: 9-of-14 4.9 GB: 10-of-14 4.9 GB: 11-of-14 4.9 GB: 12-of-14 4.8 GB: 13-of-14 1.0 GB: 14-of-14 5.0 GB: 1-of-14 4.9 GB: 2-of-14 4.9 GB: 3-of-14 4.9 GB: 4-of-14 4.9 GB: 5-of-14 4.9 GB: 6-of-14 4.9 GB: 7-of-14 4.9 GB: 8-of-14 4.9 GB: 9-of-14 4.9 GB: 10-of-14 4.9 GB: 11-of-14 4.9 GB: 12-of-14 4.8 GB: 13-of-14 1.0 GB: 14-of-14
Supported Languages	en
Model Architecture	Olmo3ForCausalLM
License	apache-2.0
Context Length	65536
Model Max Length	65536
Transformers Version	4.57.1
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|pad\|>
Vocabulary Size	100278

Rank the Olmo 3 32B Think DPO 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 Olmo 3 32B Think DPO

Best Alternatives	Context / RAM	Downloads	Likes
Olmo 3 32B Think	64K / 64.7 GB	7242	172
Olmo 3.1 32B Think	64K / 64.7 GB	6248	111
Olmo 3.1 32B Instruct	64K / 64.7 GB	725	2
Olmo 3.1 32B Think	64K / 64.7 GB	16	1
Olmo 3.1 32B Instruct	64K / 64.7 GB	54692	82
Olmo 3 1125 32B	64K / 64.7 GB	47804	123
Olmo 3.1 32B Instruct SFT	64K / 129.2 GB	9086	8
Olmo 3 32B Think SFT	64K / 64.8 GB	1203	4
Olmo 3.1 32B Instruct DPO	64K / 129.2 GB	346	6
Olmo 3.1 32B Instruct Bf16	64K / 64.8 GB	19	1

Note: green Score (e.g. "73.2") means that the model is better than allenai/Olmo-3-32B-Think-DPO.