What are the hardware requirements for Olmo 3.1 32B Think?

Olmo 3.1 32B Think 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 3.1 32B Think and how large is it?

Olmo 3.1 32B Think is developed by unsloth, a model with 32b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Olmo 3.1 32B Think perform on standard benchmarks?

Olmo 3.1 32B Think has the following published scores: LMSYS ELO 1285. Compare against reference models on this page or on the LLM Explorer leaderboards.

Olmo 3.1 32B Think by unsloth — VRAM 64.7GB, 64K context

Name: Olmo 3.1 32B Think
Author: unsloth

Olmo 3.1 32B Think is an open-source language model by unsloth. Features: 32b LLM, VRAM: 64.7GB, Context: 64K, License: apache-2.0, LLM Explorer Score: 0.34, ELO: 1285.

Base model:allenai/olmo-3.1-32... Base model:finetune:allenai/ol... Conversational Dataset:allenai/dolci-think-rl En Endpoints compatible Olmo3 Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/Olmo-3.1-32B-Think

Olmo 3.1 32B Think Benchmarks

LMSys ELO 1285 vs 1272 (so35) 1%

^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 3.1 32B Think Parameters and Internals

LLM Name	Olmo 3.1 32B Think
Repository 🤗	https://huggingface.co/unsloth/Olmo-3.1-32B-Think
Base Model(s)	allenai/Olmo-3.1-32B-Think allenai/Olmo-3.1-32B-Think
Model Size	32b
Required VRAM	64.7 GB
Updated	2026-08-10
Maintainer	unsloth
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
Supported Languages	en
Model Architecture	Olmo3ForCausalLM
License	apache-2.0
Context Length	65536
Model Max Length	65536
Transformers Version	4.57.3
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|pad\|>
Vocabulary Size	100278
Torch Data Type	bfloat16

Rank the Olmo 3.1 32B Think 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 3.1 32B Think

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 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 DPO	64K / 64.7 GB	4272	4
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 unsloth/Olmo-3.1-32B-Think.