olmo-3.1

Olmo is a series of Open language models designed to enable the science of language models. These models are pre-trained on the Dolma 3 dataset and post-trained on the Dolci datasets.

Araç Kullanımı Akıl Yürütme 32b
Hızlı Kurulum (Ollama kuruluysa)
ollama run olmo-3.1

Ollama kurulu değil mi? ollama.com/download — Windows, macOS ve Linux için ücretsiz. İlk çalıştırmada model indirilir, sonrası tamamen çevrimdışıdır.

Varyantlar

Boyut büyüdükçe kalite artar, donanım ihtiyacı yükselir. Başlangıç için küçük varyantı deneyin.

EtiketBoyutBağlamGirdiKomut
latest 19GB 64K Text ollama run olmo-3.1:latest
32b 19GB 64K Text ollama run olmo-3.1:32b
32b-instruct 19GB 64K Text ollama run olmo-3.1:32b-instruct
32b-instruct-q4_K_M 19GB 64K Text ollama run olmo-3.1:32b-instruct-q4_K_M
32b-instruct-q8_0 34GB 64K Text ollama run olmo-3.1:32b-instruct-q8_0
32b-instruct-fp16 64GB 64K Text ollama run olmo-3.1:32b-instruct-fp16
32b-think 19GB 64K Text ollama run olmo-3.1:32b-think
32b-think-q4_K_M 19GB 64K Text ollama run olmo-3.1:32b-think-q4_K_M
32b-think-q8_0 34GB 64K Text ollama run olmo-3.1:32b-think-q8_0
32b-think-fp16 64GB 64K Text ollama run olmo-3.1:32b-think-fp16

Model Detayları ve Benchmarklar (kaynak: ollama.com)

Olmo3.png

Olmo 3.1 models are available either as a 32B parameter thinking or instruct model. It has long chain-of-thought thinking to improve reasoning tasks like math and coding.

Olmo is a series of Open language models designed to enable the science of language models. These models are pre-trained on the Dolma 3 dataset and post-trained on the Dolci datasets. Allen AI team is releasing all code, checkpoints, logs, and associated training details.

Models

Olmo 3.1 Instruct 32B

ollama run olmo-3.1:32b-instruct

Olmo 3.1 Think 32B

ollama run olmo-3.1:32b-think

Benchmark

Benchmark Olmo 3.1 32B Think Olmo 3 Think 32B Qwen 3 32B Qwen 3 VL 32B Thinking Qwen 2.5 32B Gemma 3 27B Instruct Gemma 2 27B Instruct Olmo 2 32B Instruct DeepSeek-R1-Distill-Qwen-32B
Math
MATH 96.2 96.1 95.4 96.7 80.2 87.4 51.5 49.2 92.6
AIME 2024 80.6 76.8 80.8 86.3 15.7 28.9 4.7 4.6 70.3
AIME 2025 78.1 72.5 70.9 78.8 13.4 22.9 0.9 0.9 56.3
OMEGA 53.4 50.8 47.7 50.8 19.2 24.0 9.1 9.8 38.9
Reasoning
BigBenchHard 88.6 89.8 90.6 91.1 80.9 82.4 66.0 65.6 89.7
ZebraLogic 80.1 76.0 88.3 96.1 24.1 24.8 17.2 13.3 69.4
AGI Eval English 89.2 88.2 90.0 92.2 78.9 76.9 70.9 68.4 88.1
Coding
HumanEvalPlus 91.5 91.4 91.2 90.6 82.6 79.2 67.5 44.4 92.3
MBPP+ 68.3 68.0 70.6 66.2 66.6 65.7 61.2 49.0 70.1
LiveCodeBench v3 83.3 83.5 90.2 84.8 49.9 39.0 28.7 10.6 79.5
IF
IFEval 93.8 89.0 86.5 85.5 81.9 85.4 62.1 85.8 78.7
IFBench 68.1 47.6 37.3 55.1 36.7 31.3 27.8 36.4 23.8
Knowledge & QA
MMLU 86.4 85.4 88.8 90.1 84.6 74.6 76.1 77.1 88.0
PopQA 30.9 31.9 30.7 32.2 28.0 30.2 30.4 37.2 26.7
GPQA 57.5 58.1 67.3 67.4 44.6 45.0 39.9 36.4 61.8
Chat
AlpacaEval 2 LC 69.1 74.2 75.6 80.9 81.9 65.5 39.8 38.0 26.2
Safety 83.6 68.8 69.0 82.7 81.9 68.6 74.3 83.8 63.6