What are the hardware requirements for OLMo 3.1 32B Think GPTQ Int4 16bit Output?

OLMo 3.1 32B Think GPTQ Int4 16bit Output requires approximately 18.1 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 GPTQ Int4 16bit Output and how large is it?

OLMo 3.1 32B Think GPTQ Int4 16bit Output is developed by TOWIN-AI, 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 GPTQ Int4 16bit Output perform on standard benchmarks?

OLMo 3.1 32B Think GPTQ Int4 16bit Output 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 GPTQ Int4 16bit Output by TOWIN-AI — VRAM 18.1GB, 64K context

Name: OLMo 3.1 32B Think GPTQ Int4 16bit Output
Author: TOWIN-AI

OLMo 3.1 32B Think GPTQ Int4 16bit Output is an open-source language model by TOWIN-AI. Features: 32b LLM, VRAM: 18.1GB, Context: 64K, License: apache-2.0, Quantized, ELO: 1285.

16bit Code Compressed-tensors Conversational Dataset:openai/gsm8k En Es Gptq Int4 Olmo Olmo3 Quantized Reasoning Region:us Safetensors Think Towin-ia Tybsi Vllm

Model Card on HF 🤗: https://huggingface.co/TOWIN-AI/OLMo-3.1-32B-Think-GPTQ-Int4-16bit-output

OLMo 3.1 32B Think GPTQ Int4 16bit Output 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 GPTQ Int4 16bit Output Parameters and Internals

LLM Name	OLMo 3.1 32B Think GPTQ Int4 16bit Output
Repository 🤗	https://huggingface.co/TOWIN-AI/OLMo-3.1-32B-Think-GPTQ-Int4-16bit-output
Base Model(s)	allenai/OLMo-3.1-32B-Think allenai/OLMo-3.1-32B-Think
Model Size	32b
Required VRAM	18.1 GB
Updated	2026-11-14
Maintainer	TOWIN-AI
Model Type	olmo3
Model Files	18.1 GB
Supported Languages	es en code
GPTQ Quantization	Yes
Quantization Type	gptq\|16bit
Model Architecture	Olmo3ForCausalLM
License	apache-2.0
Context Length	65536
Model Max Length	65536
Transformers Version	4.57.1
Tokenizer Class	TokenizersBackend
Padding Token	<\|pad\|>
Vocabulary Size	100278

Rank the OLMo 3.1 32B Think GPTQ Int4 16bit Output 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 3.1 32B Think GPTQ Int4 16bit Output

Best Alternatives	Context / RAM	Downloads	Likes
Olmo3 32B Gptq	64K / 18.1 GB	65	1
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
... 3.1 32B Instruct MPOA Heretic	64K / 64.8 GB	511	0
...o 3.1 32B Instruct ARA Heretic	64K / 64.8 GB	510	0
...o 3.1 32B Instruct DiM Heretic	64K / 64.8 GB	497	0
...3.1 32B Instruct GMPOA Heretic	64K / 64.8 GB	487	0
...o 3.1 32B Instruct SOM Heretic	64K / 64.8 GB	481	0

Note: green Score (e.g. "73.2") means that the model is better than TOWIN-AI/OLMo-3.1-32B-Think-GPTQ-Int4-16bit-output.