Unable to download MAI Code 1.1 Flash in "Copilot Desktop" #212701

zorgoz · 2026-11-11T11:02:50Z

zorgoz
Nov 11, 2026

🏷️ Discussion Type

Bug

💬 Feature/Topic Area

Copilot in GitHub

Body

Following the instructions from here: https://docs.github.com/en/copilot/how-tos/github-copilot-app/add-llm-models?utm_source=chatgpt.com#installing-a-local-model-from-the-model-picker

All prerequisites are met.

Latest Copilot Desktop

PC: Windows 11 Pro for Workstations, RAM: 128GB, GPU: RTX TITAN (24GB CUDA 13), abundant free storage

> (Get-CimInstance Win32_ComputerSystem).TotalPhysicalMemory / 1GB
127.600917816162
> (Get-CimInstance Win32_OperatingSystem).FreePhysicalMemory / 1MB
112.199211120605
> nvidia-smi --query-gpu=name,memory.total,memory.free --format=csv
name, memory.total [MiB], memory.free [MiB]
NVIDIA TITAN RTX, 24576 MiB, 23129 MiB

latest LLAMACPP installed, environment variable set:

> & $env:LLAMACPP_SERVER_PATH --version
version: 0.9.0-dev (build 12283, commit f3b407ca1)

Experimental settings enabled (btw, no "Agents" section in this version) :

Microsoft ML provider added yet no model is available to download:

It is evident that the UI shows 24GB, which is only the VRAM size, although it should take into account the combined system memory. No AI (including Copilot) had a clue what is actually happening.

2026-11-11T11:03:27Z

github-actions[bot]
Bot Nov 11, 2026

💬 Your Product Feedback Has Been Submitted 🎉

Thank you for taking the time to share your insights with us! Your feedback is invaluable as we build a better GitHub experience for all our users.

Here's what you can expect moving forward ⏩

Your input will be carefully reviewed and cataloged by members of our product teams.
- Due to the high volume of submissions, we may not always be able to provide individual responses.
- Rest assured, your feedback will help chart our course for product improvements.
Other users may engage with your post, sharing their own perspectives or experiences.
GitHub staff may reach out for further clarification or insight.
- We may 'Answer' your discussion if there is a current solution, workaround, or roadmap/changelog post related to the feedback.

Where to look to see what's shipping 👀

Read the Changelog for real-time updates on the latest GitHub features, enhancements, and calls for feedback.
Explore our Product Roadmap, which details upcoming major releases and initiatives.

What you can do in the meantime 💻

Upvote and comment on other user feedback Discussions that resonate with you.
Add more information at any point! Useful details include: use cases, relevant labels, desired outcomes, and any accompanying screenshots.

As a member of the GitHub community, your participation is essential. While we can't promise that every suggestion will be implemented, we want to emphasize that your feedback is instrumental in guiding our decisions and priorities.

Thank you once again for your contribution to making GitHub even better! We're grateful for your ongoing support and collaboration in shaping the future of our platform. ⭐

0 replies

sridhantDalai · 2026-11-11T11:36:23Z

sridhantDalai
Nov 11, 2026

I noticed one thing: Win32_ComputerSystem.TotalPhysicalMemory only reports your installed RAM, not how much is actually available.

According to the current GitHub docs, MAI Code 1.1 Flash requires at least 96 GB of available combined RAM and 60 GB of free storage.

Your llama.cpp build (12283) is already newer than the documented minimum (b11669), so that part looks fine.

The 24 GB budget shown in your screenshot is worth investigating. Could you check how much system RAM is actually free? You can run:

Get-CimInstance Win32_OperatingSystem | Select-Object @{N='FreeRAM_GB';E={[math]::Round($_.FreePhysicalMemory/1MB,1)}}

If Windows ML is only seeing 24 GB of available system memory, that could explain why the model isn't appearing, even with 128 GB installed.

If you have 96 GB or more available combined memory and it still doesn't show up after refreshing, this might actually be a Windows ML hardware detection issue in the current preview.

Docs: https://docs.github.com/en/copilot/how-tos/github-copilot-app/add-llm-models

2 replies

zorgoz Nov 11, 2026
Author

As I wrote, I have plentiful storage... half a TB actually. And I have added the available memory above, which is almost all the installed.
112+23 > 96
So I am still well above the required...
(Following the same docs, as you can see in the first sentence of my post)