[GH-ISSUE #8620] Add support fo Qwen 2.5 VL models (3B, 7B and 32B) instruct versions #83264

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opened 2026-05-09 17:37:57 -05:00 by GiteaMirror · 29 comments
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Originally created by @YarvixPA on GitHub (Jan 27, 2025).
Original GitHub issue: https://github.com/ollama/ollama/issues/8620

Hello, now hours after being released, I would like to suggest that you add support for the Qwen2.5-VL models.

Qwen2.5-VL - Hugginface collection

Originally created by @YarvixPA on GitHub (Jan 27, 2025). Original GitHub issue: https://github.com/ollama/ollama/issues/8620 Hello, now hours after being released, I would like to suggest that you add support for the Qwen2.5-VL models. **[Qwen2.5-VL - Hugginface collection](https://huggingface.co/collections/Qwen/qwen25-vl-6795ffac22b334a837c0f9a5)**
GiteaMirror added the model label 2026-05-09 17:37:57 -05:00
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@rick-github commented on GitHub (Jan 27, 2025):

https://github.com/ollama/ollama/issues/6564

<!-- gh-comment-id:2617026007 --> @rick-github commented on GitHub (Jan 27, 2025): https://github.com/ollama/ollama/issues/6564
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@YarvixPA commented on GitHub (Jan 27, 2025):

It is not the same model, that VL is from Qwen 2.0. The one I am suggesting is Qwen2.5

<!-- gh-comment-id:2617029336 --> @YarvixPA commented on GitHub (Jan 27, 2025): It is not the same model, that VL is from Qwen 2.0. The one I am suggesting is Qwen2.5
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@rick-github commented on GitHub (Jan 27, 2025):

The effort to support it is the same. When support for qwen2-vl projector is done, support for qwen2.5-vl projector is incremental.

<!-- gh-comment-id:2617032004 --> @rick-github commented on GitHub (Jan 27, 2025): The effort to support it is the same. When support for qwen2-vl projector is done, support for qwen2.5-vl projector is incremental.
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@3unnycheung commented on GitHub (Jan 28, 2025):

8c9fb8eb73

<!-- gh-comment-id:2618904260 --> @3unnycheung commented on GitHub (Jan 28, 2025): https://github.com/ollama/ollama/commit/8c9fb8eb73afc220e8bf99772572096b6498b748
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@rick-github commented on GitHub (Jan 28, 2025):

8c9fb8e is refactoring, actual support is still pending in https://github.com/ollama/ollama/pull/8113

<!-- gh-comment-id:2618916642 --> @rick-github commented on GitHub (Jan 28, 2025): 8c9fb8e is refactoring, actual support is still pending in https://github.com/ollama/ollama/pull/8113
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@3unnycheung commented on GitHub (Jan 28, 2025):

thx, i'm looking forward to it

<!-- gh-comment-id:2618927098 --> @3unnycheung commented on GitHub (Jan 28, 2025): thx, i'm looking forward to it
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@zytoh0 commented on GitHub (Jan 30, 2025):

Hello, now hours after being released, I would like to suggest that you add support for the Qwen2.5-VL models.

Qwen2.5-VL - Hugginface collection

There're only 3B, 7B and 72B instruct versions? Where's the 32B instruct version? Please support them all :)

Image

<!-- gh-comment-id:2623597309 --> @zytoh0 commented on GitHub (Jan 30, 2025): > Hello, now hours after being released, I would like to suggest that you add support for the Qwen2.5-VL models. > > **[Qwen2.5-VL - Hugginface collection](https://huggingface.co/collections/Qwen/qwen25-vl-6795ffac22b334a837c0f9a5)** There're only 3B, 7B and 72B instruct versions? Where's the 32B instruct version? Please support them all :) ![Image](https://github.com/user-attachments/assets/e869bb10-8687-47f4-aa4a-a182af1fa98a)
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@seblessa commented on GitHub (Jan 30, 2025):

Hello, do we know when the Qwen2.5-VL-Instruct family is getting released too Ollama ?

<!-- gh-comment-id:2624257634 --> @seblessa commented on GitHub (Jan 30, 2025): Hello, do we know when the Qwen2.5-VL-Instruct family is getting released too Ollama ?
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@rick-github commented on GitHub (Jan 30, 2025):

After the code is merged.

<!-- gh-comment-id:2624259973 --> @rick-github commented on GitHub (Jan 30, 2025): After the code is merged.
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@MoRocety commented on GitHub (Jan 30, 2025):

has the pull request been made? I am assuming its close to being merged?

<!-- gh-comment-id:2624949754 --> @MoRocety commented on GitHub (Jan 30, 2025): has the pull request been made? I am assuming its close to being merged?
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@rick-github commented on GitHub (Jan 30, 2025):

The PR is still in draft mode.

<!-- gh-comment-id:2624954832 --> @rick-github commented on GitHub (Jan 30, 2025): The PR is still in draft mode.
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@MoRocety commented on GitHub (Jan 30, 2025):

when's it expected to be merged?

<!-- gh-comment-id:2624977878 --> @MoRocety commented on GitHub (Jan 30, 2025): when's it expected to be merged?
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@rick-github commented on GitHub (Jan 30, 2025):

After it's approved.

<!-- gh-comment-id:2624982940 --> @rick-github commented on GitHub (Jan 30, 2025): After it's approved.
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@nguyenhongson1902 commented on GitHub (Jan 30, 2025):

I leave a comment here to get notified when there's support for this model with ollama. Can't wait to give it a try :)

<!-- gh-comment-id:2625090393 --> @nguyenhongson1902 commented on GitHub (Jan 30, 2025): I leave a comment here to get notified when there's support for this model with ollama. Can't wait to give it a try :)
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@pinballelectronica commented on GitHub (Jan 30, 2025):

After you approve the PR when will my pizza be ready?

<!-- gh-comment-id:2625103584 --> @pinballelectronica commented on GitHub (Jan 30, 2025): After you approve the PR when will my pizza be ready?
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@rick-github commented on GitHub (Jan 30, 2025):

We'll stick the pizza base in an oven surrounded by GPUs loading qwen2.5-vl, it will be flash cooked in 0.0001 seconds.

<!-- gh-comment-id:2625109087 --> @rick-github commented on GitHub (Jan 30, 2025): We'll stick the pizza base in an oven surrounded by GPUs loading qwen2.5-vl, it will be flash cooked in 0.0001 seconds.
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@nguyenhongson1902 commented on GitHub (Jan 30, 2025):

We'll stick the pizza base in an oven surrounded by GPUs loading qwen2.5-vl, it will be flash cooked in 0.0001 seconds.

You have a great sense of humor :)

<!-- gh-comment-id:2625114605 --> @nguyenhongson1902 commented on GitHub (Jan 30, 2025): > We'll stick the pizza base in an oven surrounded by GPUs loading qwen2.5-vl, it will be flash cooked in 0.0001 seconds. You have a great sense of humor :)
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@pdevine commented on GitHub (Jan 30, 2025):

TLDR; we're working on this, it's going to take a while

Long version: we tried getting this working w/ llama.cpp but it was very hacked together and we couldn't get reasonable quality out of it. We could have shipped that version but I don't think anyone would have been particularly happy. We are looking to get it working w/ the new engine, but we're still a ways away from getting the new engine out (I could give a timeline for that, but it's invariably going to be wrong).

<!-- gh-comment-id:2625327610 --> @pdevine commented on GitHub (Jan 30, 2025): TLDR; we're working on this, it's going to take a while Long version: we tried getting this working w/ llama.cpp but it was very hacked together and we couldn't get reasonable quality out of it. We could have shipped that version but I don't think anyone would have been particularly happy. We _are_ looking to get it working w/ the new engine, but we're still a ways away from getting the new engine out (I could give a timeline for that, but it's invariably going to be wrong).
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@pdevine commented on GitHub (Jan 30, 2025):

Also, I'm going to update #6564 to reflect 2.5 instead of 2.0. I don't think we need two issues.

<!-- gh-comment-id:2625350951 --> @pdevine commented on GitHub (Jan 30, 2025): Also, I'm going to update #6564 to reflect 2.5 instead of 2.0. I don't think we need two issues.
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@wenshyan commented on GitHub (Feb 25, 2025):

Hello All.

I would like to ask if there are any updates to the addition of QWEN 2.5 VL to the Ollama Library ?

<!-- gh-comment-id:2682602764 --> @wenshyan commented on GitHub (Feb 25, 2025): Hello All. I would like to ask if there are any updates to the addition of QWEN 2.5 VL to the Ollama Library ?
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@rick-github commented on GitHub (Feb 25, 2025):

https://github.com/ollama/ollama/issues/6564#issuecomment-2660054413

<!-- gh-comment-id:2682626199 --> @rick-github commented on GitHub (Feb 25, 2025): https://github.com/ollama/ollama/issues/6564#issuecomment-2660054413
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@wenshyan commented on GitHub (Feb 25, 2025):

Thank you for the quick response. Looking forward to have the model in ollama. We are currently testing this on a NVIDIA Jetson Orin Nano.

<!-- gh-comment-id:2682672303 --> @wenshyan commented on GitHub (Feb 25, 2025): Thank you for the quick response. Looking forward to have the model in ollama. We are currently testing this on a NVIDIA Jetson Orin Nano.
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@pvtoan commented on GitHub (Mar 6, 2025):

Hi @wenshyan ,

Can I know if you have finished testing Qwen 2.5 VL on Jetson Orin Nano yet?

What exact models (3B, 7B, ...; original or quantized models) you are able to run on Jetson and how about testing results?

<!-- gh-comment-id:2703188885 --> @pvtoan commented on GitHub (Mar 6, 2025): Hi @wenshyan , Can I know if you have finished testing Qwen 2.5 VL on Jetson Orin Nano yet? What exact models (3B, 7B, ...; original or quantized models) you are able to run on Jetson and how about testing results?
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@rogerc66 commented on GitHub (Mar 25, 2025):

mark to get notice.

<!-- gh-comment-id:2751711023 --> @rogerc66 commented on GitHub (Mar 25, 2025): mark to get notice.
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@imadcat commented on GitHub (Apr 13, 2025):

any progress?

<!-- gh-comment-id:2799948854 --> @imadcat commented on GitHub (Apr 13, 2025): any progress?
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@10067 commented on GitHub (Sep 17, 2025):

mark

<!-- gh-comment-id:3301427828 --> @10067 commented on GitHub (Sep 17, 2025): mark
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@pinballelectronica commented on GitHub (Sep 21, 2025):

There's nothing magical about Ollama. You don't need to wait for someone to do it for you. You create a manifest and point them to gguf weights. It's really easy to take any one of those models and make them Ollama compatible. Plus you can choose your own quant size and temp, context size etc.

_FROM ./model.gguf

PARAMETER num_ctx 4096
PARAMETER temperature 0.7

TEMPLATE """
{{ if .System }}System: {{ .System }} {{ end }}
{{ if .Prompt }}User: {{ .Prompt }} {{ end }}
Assistant:
"""_

<!-- gh-comment-id:3315923380 --> @pinballelectronica commented on GitHub (Sep 21, 2025): There's nothing magical about Ollama. You don't need to wait for someone to do it for you. You create a manifest and point them to gguf weights. It's really easy to take any one of those models and make them Ollama compatible. Plus you can choose your own quant size and temp, context size etc. _FROM ./model.gguf PARAMETER num_ctx 4096 PARAMETER temperature 0.7 TEMPLATE """ {{ if .System }}System: {{ .System }} {{ end }} {{ if .Prompt }}User: {{ .Prompt }} {{ end }} Assistant: """_
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@rick-github commented on GitHub (Sep 21, 2025):

These models are already supported, there's no need to import.

https://ollama.com/library/qwen2.5vl

<!-- gh-comment-id:3315944976 --> @rick-github commented on GitHub (Sep 21, 2025): These models are already supported, there's no need to import. https://ollama.com/library/qwen2.5vl
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@pinballelectronica commented on GitHub (Sep 21, 2025):

"¯_(ツ)_/¯"

<!-- gh-comment-id:3315945996 --> @pinballelectronica commented on GitHub (Sep 21, 2025): "¯\_(ツ)_/¯"
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Reference: github-starred/ollama#83264