Olmo-3.1-32B-Instruct
Olmo 3.1 32B Instruct, a fully open 32B dense decoder with hybrid sliding-window / full attention and 65k context, served with vLLM.
Community model. It is published as a tt-model bundle and is not in tt-inference-server's release spec. Tenstorrent has not reviewed the model or its bundle. Serve at your own risk.
tt-model bundles
From tt-model search --catalog and each bundle's manifest (tt-model info). A bundle lists every hardware profile its manifest defines. Each bundle is published by its owner, and Tenstorrent has not reviewed it. Serve at your own risk.
Details
Kind LLM (from the task tag on the bundle's card)
Family Olmo (from the start of the name) Tool-call parser olmo3_ttLicense (bundle cards) apache-2.0
Listed by tt-model bundle
Install and run
Download the weights and the bundle
tt model pull jashansinghTT/olmo-3.1-32b-instruct-blackhole
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Not reviewed by Tenstorrent. Serve at your own risk.
Serve it on this machine
tt serve jashansinghTT/olmo-3.1-32b-instruct-blackhole
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A tt-model bundle, so tt serve runs it through tt-model. If a bundle needs hardware you do not have, tt says so.
Connect a client with tt launch
Serve the model first, then run one of these. Only clients that work with this model are listed.
Terminal. Tool calling: olmo3_tt
tt launch opencode --model allenai/Olmo-3.1-32B-Instruct
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Terminal. Tool calling: olmo3_tt
tt launch pi --model allenai/Olmo-3.1-32B-Instruct
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Terminal. Tool calling: olmo3_tt
tt launch aider --model allenai/Olmo-3.1-32B-Instruct
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Terminal. Tool calling: olmo3_tt
tt launch qwencode --model allenai/Olmo-3.1-32B-Instruct
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Terminal. Tool calling: olmo3_tt
tt launch hermes --model allenai/Olmo-3.1-32B-Instruct
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Web service. Any chat model
tt launch openwebui --model allenai/Olmo-3.1-32B-Instruct
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Web service. Any chat model
tt launch anythingllm --model allenai/Olmo-3.1-32B-Instruct
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Terminal clients need a tool-call parser. Open WebUI and AnythingLLM take any chat model. The rule is tt-cli's (tt launch). This model is not in tt's catalog, so tt warns instead of checking. The listing comes from the bundle's manifest, which says it is served with vLLM and names the olmo3_tt parser.