[GH-ISSUE #7395] Why is the performance of x/llama3.2-vision for describing images poor? #51213

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opened 2026-04-28 18:55:55 -05:00 by GiteaMirror · 7 comments
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Originally created by @hosea7456 on GitHub (Oct 28, 2024).
Original GitHub issue: https://github.com/ollama/ollama/issues/7395

What is the issue?

I am experiencing x/llama3.2-vision(11b) using ollama-0.4.0-rc5, but the performance is poor compared to the official version. What causes this result?
x/llama3.2-vision:
image
meta-llama:
image
image:
cars

OS

Linux

GPU

Nvidia

CPU

Intel

Ollama version

0.4.0-rc5

Originally created by @hosea7456 on GitHub (Oct 28, 2024). Original GitHub issue: https://github.com/ollama/ollama/issues/7395 ### What is the issue? I am experiencing x/llama3.2-vision(11b) using ollama-0.4.0-rc5, but the performance is poor compared to the [official version](https://deepinfra.com/meta-llama/Llama-3.2-11B-Vision-Instruct). What causes this result? **x/llama3.2-vision:** ![image](https://github.com/user-attachments/assets/c02cf985-59c0-4cd3-bccc-9ac7a3a19efa) **meta-llama:** ![image](https://github.com/user-attachments/assets/e6c0b2dc-f8aa-465d-8bea-1a0b98704daf) **image:** ![cars](https://github.com/user-attachments/assets/d8ac625e-86c7-47f4-a45d-9a56dc5eeb73) ### OS Linux ### GPU Nvidia ### CPU Intel ### Ollama version 0.4.0-rc5
GiteaMirror added the bug label 2026-04-28 18:55:55 -05:00
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@rick-github commented on GitHub (Oct 28, 2024):

My guess would be that the official version is unquantized. x/llama3.2-vision is experimental, when it's promoted to the main ollama library it should perform better.

<!-- gh-comment-id:2441251412 --> @rick-github commented on GitHub (Oct 28, 2024): My guess would be that the official version is unquantized. x/llama3.2-vision is experimental, when it's promoted to the main ollama library it should perform better.
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@hosea7456 commented on GitHub (Oct 30, 2024):

My guess would be that the official version is unquantized. x/llama3.2-vision is experimental, when it's promoted to the main ollama library it should perform better.

That should be the reason. Many thanks.

<!-- gh-comment-id:2445674203 --> @hosea7456 commented on GitHub (Oct 30, 2024): > My guess would be that the official version is unquantized. x/llama3.2-vision is experimental, when it's promoted to the main ollama library it should perform better. That should be the reason. Many thanks.
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@step21 commented on GitHub (Nov 7, 2024):

On a similar issue - I just tried two images from my download folder - for one that is a pencil drawing without anything particularly salacious, it steadfastly refused, always saying sth like "I cannot engage in this topic". When I asked it to elaborate, it also just repeated a similar message. Did anybody else experience sth like that?

Update: it worked when starting a new chat. But seemingly and follow up questions result in refusals to answer.

<!-- gh-comment-id:2462084118 --> @step21 commented on GitHub (Nov 7, 2024): On a similar issue - I just tried two images from my download folder - for one that is a pencil drawing without anything particularly salacious, it steadfastly refused, always saying sth like "I cannot engage in this topic". When I asked it to elaborate, it also just repeated a similar message. Did anybody else experience sth like that? Update: it worked when starting a new chat. But seemingly and follow up questions result in refusals to answer.
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@pdevine commented on GitHub (Nov 13, 2024):

I think we can close this out since x/llama3.2-vision was just for the RC versions. The model isn't perfect, unfortunately, and still does hallucinate occasionally.

<!-- gh-comment-id:2474926376 --> @pdevine commented on GitHub (Nov 13, 2024): I think we can close this out since `x/llama3.2-vision` was just for the RC versions. The model isn't perfect, unfortunately, and still does hallucinate occasionally.
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@step21 commented on GitHub (Nov 13, 2024):

@pdevine is there a new version now?

<!-- gh-comment-id:2474935239 --> @step21 commented on GitHub (Nov 13, 2024): @pdevine is there a new version now?
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@pdevine commented on GitHub (Nov 13, 2024):

@step21 Yes, see the blog post. The models are now called llama3.2-vision (without the x/ on the front). The weights did change, so you'll unfortunately need to pull them again.

<!-- gh-comment-id:2474980723 --> @pdevine commented on GitHub (Nov 13, 2024): @step21 Yes, see the [blog post](https://ollama.com/blog/llama3.2-vision). The models are now called `llama3.2-vision` (without the `x/` on the front). The weights did change, so you'll unfortunately need to pull them again.
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@step21 commented on GitHub (Nov 13, 2024):

ok, thx. though I just noticed I only used the new one without x/ anyway. Sorry, didn't realize this was for a previous version. It still does the behaviour I described anyway, but still ok to close this thread.

<!-- gh-comment-id:2474983448 --> @step21 commented on GitHub (Nov 13, 2024): ok, thx. though I just noticed I only used the new one without x/ anyway. Sorry, didn't realize this was for a previous version. It still does the behaviour I described anyway, but still ok to close this thread.
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Reference: github-starred/ollama#51213