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ollama - 💡(How to fix) Fix Please add Granite 4.1, Llama 4, and Mistral Medium 3.5 to Ollama Cloud [1 comments, 2 participants]

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ollama/ollama#15915•Fetched 2026-05-02 05:27:46
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rafi339rafi339
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AccidentalJediAccidentalJedirafi339rafi339
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commented ×1

Root Cause

Thanks! P.S. Also thanks for making an amazing open-source project. I love the cloud models because the usage limits are great, it's fast enough for me, and I like open-weight AI.

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Hey Ollama team!

I'm Rafi, a 13-year-old ML developer from Germany. I build stuff with PyTorch, OpenGL/C++, and HTML/CSS/JavaScript — and I use Ollama Cloud Pro every day for my projects. I'm thinking about switching to yearly Pro if I get more model choices.

Could you please add these models as cloud variants? They're all already on Ollama locally, just need the cloud versions:

  1. IBM Granite 4.1 (3b, 8b, 30b) — just dropped a few days ago, looks solid for enterprise stuff
  2. Mistral Medium 3.5 (128B) — Mistral's newest flagship, 256K context, great for coding agents
  3. Llama 4 (Scout & Maverick) — super popular, already 1.6M+ downloads on Ollama local

I'd love to run these on Cloud since my machine can't handle the bigger ones. Would be awesome to have more options up there!

Thanks! P.S. Also thanks for making an amazing open-source project. I love the cloud models because the usage limits are great, it's fast enough for me, and I like open-weight AI.

extent analysis

TL;DR

The user is requesting additional models to be added as cloud variants on Ollama Cloud Pro.

Guidance

  • Review the requested models (IBM Granite 4.1, Mistral Medium 3.5, and Llama 4) for compatibility and feasibility on Ollama Cloud Pro.
  • Consider the user's requirements, such as the need for larger models due to local machine limitations.
  • Evaluate the popularity and demand for the requested models, including the 1.6M+ downloads of Llama 4 on Ollama local.
  • Assess the technical requirements for adding new models to the cloud platform, including potential updates to infrastructure or dependencies.

Notes

The issue lacks technical details about the implementation or specific challenges, so a detailed solution cannot be provided.

Recommendation

Apply workaround: Consider prioritizing the addition of the requested models based on user demand and technical feasibility, and provide an update on the expected timeline for their availability on Ollama Cloud Pro.

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#container setup#orchestration issue#cache issue#memory leak#API versioning

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