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hoyyeva/fix-claude-channels-env
parth-update-hermes-launch
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hoyyeva/wire-up-context-length
hoyyeva/claude-code-context-doc
jmorganca/investigate-issue-17046
hoyyeva/hermes-docs
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hoyyeva/openclaw
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hoyyeva/ollama-vscode-extension
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brucemacd/docs-glm52
hoyyeva/poc-docs
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parth-first-time-app-cli-experience
test/darwin-xcode-pin
improve-cloud-model-recommendations
hoyyeva/goose-docs
jmorganca/context-limit-fixes
hoyyeva/qwen-doc
hoyyeva/vscode-docs
jmorganca/remove-mlx-imagegen-code
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pdevine/mlx-update
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drifkin/api-show-fallback
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hoyyeva/server-context-length-local-config
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mxyng/mlx-quant
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pdevine/geems-2b
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Reference: github-starred/ollama#29891
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Originally created by @FelisDwan on GitHub (Aug 30, 2024).
Original GitHub issue: https://github.com/ollama/ollama/issues/6564
SOTA light weight vision model
https://github.com/QwenLM/Qwen2-VL
llama.cpp issue #9246
@crzroot commented on GitHub (Aug 30, 2024):
Support joining this model
@XDesktopSoft commented on GitHub (Sep 1, 2024):
+1
@SP4595 commented on GitHub (Sep 1, 2024):
support +1
@Halfknow commented on GitHub (Sep 1, 2024):
hope to support
@BBBOND commented on GitHub (Sep 1, 2024):
+1
@lojik-ng commented on GitHub (Sep 1, 2024):
+1
@elyzionz commented on GitHub (Sep 2, 2024):
+1
@zyfewq commented on GitHub (Sep 2, 2024):
+1
@pmddds commented on GitHub (Sep 2, 2024):
+1
@zwqjoy commented on GitHub (Sep 2, 2024):
hope to support
@stephonye commented on GitHub (Sep 3, 2024):
*** I am really looking forward to this model being used in Ollama ***
@kalkishnu commented on GitHub (Sep 3, 2024):
yes pls.
@dannykhoo commented on GitHub (Sep 3, 2024):
support +1
@AlanceLau commented on GitHub (Sep 4, 2024):
support +1
@AlanceLau commented on GitHub (Sep 4, 2024):
support +1
@zhaoqi571436204 commented on GitHub (Sep 4, 2024):
+1
@Alex-gy commented on GitHub (Sep 4, 2024):
+1 Please
@arkerwu commented on GitHub (Sep 4, 2024):
+1
@enryteam commented on GitHub (Sep 4, 2024):
+1
@cwbjyy commented on GitHub (Sep 4, 2024):
+1
@a1558878 commented on GitHub (Sep 4, 2024):
hope to support
@ddpasa commented on GitHub (Sep 4, 2024):
Benchmarks look very strong, please support this model.
@shivanshkaushikk commented on GitHub (Sep 4, 2024):
+1
@Erionis commented on GitHub (Sep 5, 2024):
+1
@Milor123 commented on GitHub (Sep 5, 2024):
+1 ❤️
@zenoverflow commented on GitHub (Sep 5, 2024):
+1
@yblis commented on GitHub (Sep 6, 2024):
+1
@alivekevin commented on GitHub (Sep 8, 2024):
+1
@Reknine commented on GitHub (Sep 8, 2024):
+1
@0dram commented on GitHub (Sep 8, 2024):
+1
@mosoai commented on GitHub (Sep 9, 2024):
+1
@trackcan commented on GitHub (Sep 10, 2024):
+1
@Axenide commented on GitHub (Sep 10, 2024):
+1
@PredyDaddy commented on GitHub (Sep 12, 2024):
+1
@lyfuci commented on GitHub (Sep 13, 2024):
+1
I tested this model locally, and the results impressed me greatly.
@haddyadnan commented on GitHub (Sep 13, 2024):
+1
@sebastianhorwege commented on GitHub (Sep 13, 2024):
+1
@Tarakzai commented on GitHub (Sep 13, 2024):
+1
@jasper-ooster commented on GitHub (Sep 13, 2024):
+1
@bunnyfu commented on GitHub (Sep 13, 2024):
Here to support :)
@jeremy-windsor commented on GitHub (Sep 13, 2024):
+1 this model was able to read recipes that other models failed at and i was using openai to ocr with.
@tomyjany commented on GitHub (Sep 15, 2024):
here to support :) soon there will be the 72B version
@devsanbid commented on GitHub (Sep 16, 2024):
+1
@shreyvish5678 commented on GitHub (Sep 17, 2024):
when will this be added? I've been looking to use it
@khwengXU commented on GitHub (Sep 18, 2024):
+1
@huaji23 commented on GitHub (Sep 18, 2024):
+1
@ankykong commented on GitHub (Sep 18, 2024):
+1
@iwannabewater commented on GitHub (Sep 19, 2024):
hope to add qwen2-vl soon, thank you all guys!
@ep5000 commented on GitHub (Sep 22, 2024):
+1
@wangyuc commented on GitHub (Sep 24, 2024):
+1
@FickleLife commented on GitHub (Sep 26, 2024):
+1 !!!
@zhaoyang0618 commented on GitHub (Sep 27, 2024):
+1!!!
@erinsrc commented on GitHub (Sep 27, 2024):
+1 Please!
@zhaolj commented on GitHub (Sep 30, 2024):
+1 !!!
@somnifex commented on GitHub (Oct 1, 2024):
+1
@Jakolo121 commented on GitHub (Oct 4, 2024):
+1
@xiasi0 commented on GitHub (Oct 7, 2024):
+1 pls
@diandian2023 commented on GitHub (Oct 9, 2024):
+1 Please!
@zhiwehu commented on GitHub (Oct 9, 2024):
++1
@regoo commented on GitHub (Oct 12, 2024):
+++!
@misteral commented on GitHub (Oct 15, 2024):
+1
@bughoho commented on GitHub (Oct 19, 2024):
+++++
@supperdsj commented on GitHub (Oct 21, 2024):
+++++++++
@somnifex commented on GitHub (Oct 21, 2024):
Hey guys, let's stop the +1 or +++ activities, this is a "mail disaster" for each subscriber, just liking the existing replies is enough
@zirak-ai commented on GitHub (Oct 24, 2024):
+++1
@yak0 commented on GitHub (Oct 24, 2024):
++++1
@netixc commented on GitHub (Nov 2, 2024):
+1
@eignerfr commented on GitHub (Nov 2, 2024):
+1
@damianpdr commented on GitHub (Nov 3, 2024):
+1
@love01211 commented on GitHub (Nov 14, 2024):
+1
@ammoti commented on GitHub (Nov 16, 2024):
one more +1
@Rakhsan commented on GitHub (Nov 18, 2024):
+1
@vardaan123 commented on GitHub (Nov 18, 2024):
+1
@fovendor commented on GitHub (Nov 19, 2024):
+1
@xmlvrl commented on GitHub (Nov 22, 2024):
hope to support
@sam8890 commented on GitHub (Nov 25, 2024):
+++++1
@cczw2010 commented on GitHub (Nov 25, 2024):
+1 please
@Rakhsan commented on GitHub (Nov 25, 2024):
Ultra +1 this model is really good at function calling and it has a lot of potential
@gmarkantonatos commented on GitHub (Nov 25, 2024):
+1 The model is great!
@yossifibrahem commented on GitHub (Nov 25, 2024):
Add my voice with you
@jochne commented on GitHub (Dec 1, 2024):
+1
plz
@LuWei6896 commented on GitHub (Dec 9, 2024):
++++++++1
@Linnore commented on GitHub (Dec 12, 2024):
+1
@Rakhsan commented on GitHub (Dec 12, 2024):
+10^10 man pls man ollama main dev pls
@yyqqing commented on GitHub (Dec 18, 2024):
+1
@voyager0003 commented on GitHub (Dec 18, 2024):
Qwen2-VL work better than llama3.2-vision 11B for pictures contain Chinese Character, so just add it plz
@Syazvinski commented on GitHub (Dec 18, 2024):
Ollama is based on Llama.cpp and guff models, qwen VL is not compatible with llama.cpp as it uses a different archetechure because of its vision. it wont be added anytime soon likley.
@ddpasa commented on GitHub (Dec 18, 2024):
llama.cpp support qwen-vl now: https://github.com/ggerganov/llama.cpp/pull/10361
@ep5000 commented on GitHub (Dec 18, 2024):
I haven't followed this video in detail but it implies that Llama.cpp can run Qwen2VL: https://youtu.be/iNcqEkZH4io?si=4-wpTdbKhhEdk3JV
@chigkim commented on GitHub (Dec 18, 2024):
Yes, llama.cpp supports qwen2-vl now.
https://huggingface.co/bartowski/Qwen2-VL-72B-Instruct-GGUF
https://huggingface.co/bartowski/Qwen2-VL-7B-Instruct-GGUF
https://huggingface.co/bartowski/Qwen2-VL-2B-Instruct-GGUF
@akfheaven commented on GitHub (Dec 19, 2024):
+1
@Jovines commented on GitHub (Dec 20, 2024):
hope to support
@feishenebay commented on GitHub (Dec 23, 2024):
+1
@fighter3005 commented on GitHub (Dec 23, 2024):
I experimented with vllm, but Qwen2 vl on ollama would be just awesome. (with multiple image support).
@bingbing6 commented on GitHub (Dec 24, 2024):
Can we use Qwen2-VL now? It's the best visual model, after all
@Cheesper commented on GitHub (Dec 24, 2024):
They stupidly droped multimodal from llama-server 9 month ago, so no online VLM, only local
@billysb commented on GitHub (Dec 26, 2024):
This model would be so perfect for the kind of thing I'm working on with tool calls. Support for this model would be very useful.
@JustLikeThis101 commented on GitHub (Dec 27, 2024):
Does anyone know if there is currently a team supporting the use of the qwen2-VL model on Ollama?
@xihuai18 commented on GitHub (Dec 27, 2024):
8c9fb8eb73will this commit mean supporting qwen vl
@Wooonster commented on GitHub (Jan 15, 2025):
+1
@franz101 commented on GitHub (Jan 27, 2025):
Curios, would work just pulling it from huggingface?
@MIC-BO commented on GitHub (Jan 30, 2025):
support +1
@pdevine commented on GitHub (Jan 30, 2025):
I posted this in #8620, but just so it doesn't get lost:
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).
@MoRocety commented on GitHub (Jan 30, 2025):
cheers!
@nguyenhongson1902 commented on GitHub (Jan 31, 2025):
can't wait to see this model w/ ollama
@tobalo commented on GitHub (Feb 2, 2025):
+1 thank you and kudos to all the team. Llama team keep being the western champions of open source AI!
@EddyChen commented on GitHub (Feb 7, 2025):
support +1
@sxsnwangrenfei commented on GitHub (Feb 10, 2025):
+1
@JoseEdSouza commented on GitHub (Feb 10, 2025):
up
@zytoh0 commented on GitHub (Feb 10, 2025):
@pdevine Since you're still sometime away, is it possible that you release this hacked version first for us to use and then update it once you are satisfied? Please 🙏 🙏 🙏 🙏 🙏 thumbs up if anyone agrees.
@aole commented on GitHub (Feb 10, 2025):
+3.14
@zz-zhi54 commented on GitHub (Feb 11, 2025):
Can you release a beta version first? I need Ollama's API.
@seblessa commented on GitHub (Feb 11, 2025):
Is there an ETA for Qwen2.5-VL vision model release on ollama ?
@iamdagy commented on GitHub (Feb 13, 2025):
Looking forward to this
@misaka-20002 commented on GitHub (Feb 13, 2025):
any ETA
@wcool1 commented on GitHub (Feb 14, 2025):
look foward to
@sam8890 commented on GitHub (Feb 14, 2025):
+1
@3unnycheung commented on GitHub (Feb 14, 2025):
https://github.com/ollama/ollama/issues/8424 hope so
@pdevine commented on GitHub (Feb 14, 2025):
No ETA yet, but I'm currently working on the new image processing code for the new engine, so hopefully soon-ish 🤞 @jmorganca did the original change, and I know everyone wants this model desperately, but please just hang tight for a bit longer. We'd rather publish a working model than publish a half working one.
@olumolu commented on GitHub (Feb 15, 2025):
+1 for me please
@caiyajunx commented on GitHub (Feb 15, 2025):
+1
@sandorkonya commented on GitHub (Feb 16, 2025):
+1
@jakeju92 commented on GitHub (Feb 16, 2025):
+1
@Praveenstein commented on GitHub (Feb 16, 2025):
+1
@zz-zhi54 commented on GitHub (Feb 17, 2025):
Hey guys, let's stop the +1 or +++ activities, this is a "mail disaster" for each subscriber, just liking the existing replies is enough!
If you want to know the latest news, the
Subscribebutton on the right can help you@ianmage commented on GitHub (Feb 20, 2025):
+1
@vladislavdonchev commented on GitHub (Feb 22, 2025):
For anyone interested - making progress in llama.cpp:
https://github.com/ggml-org/llama.cpp/issues/11483
TL; DR
Testing and quantization are ongoing, but we have produced working models!
https://huggingface.co/IAILabs/Qwen2.5-VL-7b-Instruct-GGUF/tree/main
Before this can be propagated however, hardware acceleration for CLIP needs to be merged back into llama.cpp
Keep an eye on the linked issue for updates.
@wenshyan commented on GitHub (Feb 25, 2025):
Looking forward to test this out on Ollama!
@crazyn2 commented on GitHub (Feb 27, 2025):
+1
@EuPhobos commented on GitHub (Feb 27, 2025):
Stop "+1" please!
Just use "Subscribe" button..
@xiasi0 commented on GitHub (Mar 27, 2025):
Is there any news here?
@zz-zhi54 commented on GitHub (Mar 27, 2025):
What difficulties are you facing now and how long will it take to get support? Can you share it with us?
@kevin-pw commented on GitHub (Apr 3, 2025):
Awesome! Looks like the Ollama team is actively working on a Qwen 2.5 VL branch.
@wuaigleuiogueae commented on GitHub (Apr 14, 2025):
+1
What difficulties are you facing now and how long will it take to get support?
@eroyee commented on GitHub (Apr 15, 2025):
It seems to me that unless one is able to contribute in terms of coding, the best thing that could be done in terms of 'support' is let the devs who are contributing get on with it rather than need to respond here?
Practically, keep an eye on the link that @kevin-pw posted, you can see what work is being done there, and whenever it becomes officially available I expect you'd see the model appear near the top of the list here: https://ollama.com/library?sort=newest
Otherwise my thanks to those who have and are working on this project, I very much appreciate the opportunity to learn how these things work and I'm sure Qwen2.5-VL will come along in due course :)
@ddpasa commented on GitHub (Apr 16, 2025):
The real work to support Qwen2-VL is happening in llama.cpp. They already have a CLI for supporting it here: https://github.com/ggml-org/llama.cpp/pull/10361
However llama-server does not yet support VLs, so it's a little tricky for ollama to support them.
In the mean time I recommend using llama.cpp's qwen executable as a stopgap.
@pdevine commented on GitHub (Apr 17, 2025):
Hey everyone. Thanks for you patience on this. We are very close to getting it out but ran into some snags with the way the vision model's patch embeddings work. Note that this is in the ollama engine, and not based on the llama.cpp change referenced above.
@barseghyanartur commented on GitHub (Apr 17, 2025):
Please, also include Qwen2.5-Omni: https://github.com/QwenLM/Qwen2.5-Omni
@3unnycheung commented on GitHub (Apr 20, 2025):
https://github.com/ollama/ollama/compare/main...qwen25omni
@euberdeveloper commented on GitHub (Apr 29, 2025):
any progress?
@eroyee commented on GitHub (Apr 29, 2025):
Yes.
Why don't you just have a look a few comments up and follow the links - you'll see quite a lot of work on this. eg. https://github.com/ollama/ollama/compare/main...brucemacd/qwen25vl
@BruceMacD commented on GitHub (May 15, 2025):
Qwen2.5vl is in the official library now, it will run with Ollama 0.7.0 (released a few hours ago).
https://ollama.com/library/qwen2.5vl
@LFd3v commented on GitHub (May 15, 2025):
@BruceMacD The model page in ollama.com says it supports video, but I tried with an MP4 and it was not processed? Known bug or indeed there is no support for video and it is not planned? Thank you.
@BruceMacD commented on GitHub (May 16, 2025):
@LFd3v our implementation doesn't support video at this point, that part of the description was misleading. Sorry about that, I've updated the details on the website.
@aseok commented on GitHub (May 17, 2025):
Latest ollama doesn't offload this model to gpu despite offloading others like qwen3 on ubuntu 24.04.
Nvidia GTX 1050 Ti@4GB.
Cuda 12.9
DRIVER version: 575.51.03
@eroyee commented on GitHub (May 17, 2025):
FYI that's not my experience (Ubuntu 24.04, Nvidia 1070 and latest drivers), nvidia-smi -l shows healthy use of the GPU with the 7b model...
@jmtatsch commented on GitHub (May 29, 2025):
@BruceMacD what is missing for supporting video?
@BruceMacD commented on GitHub (May 29, 2025):
@jmtatsch A few things would be needed, Ollama doesn't have the ability to send video from the client the server and the model implementation only processes the one image frame while video implementations process multiple video frames at different steps in the multimodal model.