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olmo2

OLMo 2 is a new family of 7B and 13B models trained on up to 5T tokens. These models are on par with or better than equivalently sized fully open models, and competitive with open-weight models such as Llama 3.1 on English academic benchmarks.

3.8M pulls9 tagsSource updated Jan 11, 20254K max context

Quick start

ollama run olmo2:latest

Runnable variants

Memory is a rough file-size estimate; context length, runtime and GPU offload change it.

9 of 9 matching variants shown.

13bTypelocalInputstextDigest6c279ebc980fDownload8.4 GBParameters13bQuantizationUnknownContext4KEst. memory≈ 10.5 GB
ollama run olmo2:13b
13b-1124-instruct-fp16TypelocalInputstextDigestc5cd17f69ca0Download27 GBParameters13bQuantizationFP16Context4KEst. memory≈ 31.5 GB
ollama run olmo2:13b-1124-instruct-fp16
13b-1124-instruct-q4_K_MTypelocalInputstextDigest6c279ebc980fDownload8.4 GBParameters13bQuantizationQ4_K_MContext4KEst. memory≈ 10.5 GB
ollama run olmo2:13b-1124-instruct-q4_K_M
13b-1124-instruct-q8_0TypelocalInputstextDigest54d0ec72e884Download15 GBParameters13bQuantizationQ8_0Context4KEst. memory≈ 18 GB
ollama run olmo2:13b-1124-instruct-q8_0
7bTypelocalInputstextDigest4208d3b406dbDownload4.5 GBParameters7bQuantizationUnknownContext4KEst. memory≈ 6.5 GB
ollama run olmo2:7b
7b-1124-instruct-fp16TypelocalInputstextDigestfa483f2d5cc7Download15 GBParameters7bQuantizationFP16Context4KEst. memory≈ 18 GB
ollama run olmo2:7b-1124-instruct-fp16
7b-1124-instruct-q4_K_MTypelocalInputstextDigest4208d3b406dbDownload4.5 GBParameters7bQuantizationQ4_K_MContext4KEst. memory≈ 6.5 GB
ollama run olmo2:7b-1124-instruct-q4_K_M
7b-1124-instruct-q8_0TypelocalInputstextDigeste75d0b293717Download7.8 GBParameters7bQuantizationQ8_0Context4KEst. memory≈ 10 GB
ollama run olmo2:7b-1124-instruct-q8_0
latestdefaultTypelocalInputstextDigest4208d3b406dbDownload4.5 GBParametersUnknownQuantizationUnknownContext4KEst. memory≈ 6.5 GB
ollama run olmo2:latest

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