[GH-ISSUE #786] Image generation models #46885

New Issue

GiteaMirror · 2026-04-28T01:33:13-05:00

GiteaMirror commented

2026-04-28 01:33:13 -05:00

Originally created by @SabareeshGC on GitHub (Oct 13, 2023).
Original GitHub issue: https://github.com/ollama/ollama/issues/786

It would be great if we can extend support for text to image models.

Originally created by @SabareeshGC on GitHub (Oct 13, 2023). Original GitHub issue: https://github.com/ollama/ollama/issues/786 It would be great if we can extend support for text to image models.

GiteaMirror added the feature request label 2026-04-28 01:33:13 -05:00

GiteaMirror commented

2026-04-28 01:34:11 -05:00

@orkutmuratyilmaz commented on GitHub (Oct 18, 2023):

Hello @SabareeshGC,

There is a tutorial for importing models. Which model would you like to get supported by ollama? How about SDXL?

Best,
Orkut

@orkutmuratyilmaz commented on GitHub (Oct 18, 2023): Hello @SabareeshGC, There is [a tutorial](https://github.com/jmorganca/ollama/blob/main/docs/import.md) for importing models. Which model would you like to get supported by ollama? How about [SDXL](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0)? Best, Orkut

GiteaMirror commented

2026-04-28 01:34:16 -05:00

@SabareeshGC commented on GitHub (Oct 18, 2023):

Sdxl is great start, when looked at tutorial not sure it supports text to image

From: Orkut Murat Yılmaz @.>
Date: Wednesday, October 18, 2023 at 10:43 AM
To: jmorganca/ollama @.>
Cc: Sabareesh Subramani @.>, Mention @.>
Subject: Re: [jmorganca/ollama] Requesting support for image generating models (Issue #786)
Caution: This is an external email and has a suspicious subject or content. Please take care when clicking links or opening attachments. When in doubt, contact your IT Department

Hello @SabareeshGChttps://github.com/SabareeshGC,

There is a tutorialhttps://github.com/jmorganca/ollama/blob/main/docs/import.md for importing models. Which model would you like to get supported by ollama? How about SDXLhttps://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0?

Best,
Orkut

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Reply to this email directly, view it on GitHubhttps://github.com/jmorganca/ollama/issues/786#issuecomment-1769037105, or unsubscribehttps://github.com/notifications/unsubscribe-auth/A3GUESUDF7F2QXW5RTT4B7LYAAILDAVCNFSM6AAAAAA57XUEPCVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTONRZGAZTOMJQGU.
You are receiving this because you were mentioned.Message ID: @.***>

@SabareeshGC commented on GitHub (Oct 18, 2023): Sdxl is great start, when looked at tutorial not sure it supports text to image From: Orkut Murat Yılmaz ***@***.***> Date: Wednesday, October 18, 2023 at 10:43 AM To: jmorganca/ollama ***@***.***> Cc: Sabareesh Subramani ***@***.***>, Mention ***@***.***> Subject: Re: [jmorganca/ollama] Requesting support for image generating models (Issue #786) Caution: This is an external email and has a suspicious subject or content. Please take care when clicking links or opening attachments. When in doubt, contact your IT Department Hello @SabareeshGC<https://github.com/SabareeshGC>, There is a tutorial<https://github.com/jmorganca/ollama/blob/main/docs/import.md> for importing models. Which model would you like to get supported by ollama? How about SDXL<https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0>? Best, Orkut — Reply to this email directly, view it on GitHub<https://github.com/jmorganca/ollama/issues/786#issuecomment-1769037105>, or unsubscribe<https://github.com/notifications/unsubscribe-auth/A3GUESUDF7F2QXW5RTT4B7LYAAILDAVCNFSM6AAAAAA57XUEPCVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTONRZGAZTOMJQGU>. You are receiving this because you were mentioned.Message ID: ***@***.***>

GiteaMirror commented

2026-04-28 01:34:22 -05:00

@hfabio commented on GitHub (Nov 9, 2023):

it could be awesome to use a stable diffusion model, like this one
is it possible to use it in ollama?

@hfabio commented on GitHub (Nov 9, 2023): it could be awesome to use a stable diffusion model, like [this one](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0) is it possible to use it in ollama?

GiteaMirror commented

2026-04-28 01:34:24 -05:00

@orkutmuratyilmaz commented on GitHub (Nov 9, 2023):

@hfabio, from the importing tutorial:

Ollama supports a set of model architectures, with support for more coming soon:

Llama & Mistral
Falcon & RW
GPT-NeoX
BigCode
To view a model's architecture, check the config.json file in its HuggingFace repo. You should see an entry under architectures (e.g. LlamaForCausalLM).

@orkutmuratyilmaz commented on GitHub (Nov 9, 2023): @hfabio, from the [importing tutorial](https://github.com/jmorganca/ollama/blob/main/docs/import.md): ``` Ollama supports a set of model architectures, with support for more coming soon: Llama & Mistral Falcon & RW GPT-NeoX BigCode To view a model's architecture, check the config.json file in its HuggingFace repo. You should see an entry under architectures (e.g. LlamaForCausalLM). ```

GiteaMirror commented

2026-04-28 01:34:26 -05:00

@BananaAcid commented on GitHub (Dec 16, 2023):

What does this list above mean? ollama does not support image generating models yet?

@BananaAcid commented on GitHub (Dec 16, 2023): What does this list above mean? ollama does not support image generating models yet?

GiteaMirror commented

2026-04-28 01:34:30 -05:00

@teamsmiley commented on GitHub (Dec 20, 2023):

anyone success import sdxl model?

@teamsmiley commented on GitHub (Dec 20, 2023): anyone success import sdxl model?

GiteaMirror commented

2026-04-28 01:34:33 -05:00

@easp commented on GitHub (Dec 20, 2023):

@teamsmiley no, because Ollama doesn't support any text-to-image models.

@easp commented on GitHub (Dec 20, 2023): @teamsmiley no, because Ollama doesn't support any text-to-image models.

GiteaMirror commented

2026-04-28 01:34:38 -05:00

@sansmoraxz commented on GitHub (Dec 21, 2023):

There is also leejet/stable-diffusion.cpp for ggml

@sansmoraxz commented on GitHub (Dec 21, 2023): There is also [leejet/stable-diffusion.cpp](https://github.com/leejet/stable-diffusion.cpp) for ggml

GiteaMirror commented

2026-04-28 01:34:42 -05:00

@tripleo1 commented on GitHub (Jan 23, 2024):

@easp (not singling you out)

no, because Ollama doesn't support any text-to-image models.

why?

its going to take me a couple weeks to figure it out on my own, but could [somebody] provide search topics/clues to "onboard" myself quickly?

@tripleo1 commented on GitHub (Jan 23, 2024): @easp (not singling you out) > no, because Ollama doesn't support any text-to-image models. why? its going to take me a couple weeks to figure it out on my own, but could [somebody] provide search topics/clues to "onboard" myself quickly?

GiteaMirror commented

2026-04-28 01:34:45 -05:00

@easp commented on GitHub (Jan 23, 2024):

@tripleo There are multiple ways to answer that question. I'm not sure where to start. I guess I'll start by saying I don't have any inside line on what the Ollama developers are thinking.

With that out of the way, Ollama doesn't support any text-to-image models because no one has added support for text-to-image models. The team's resources are limited. Even if someone comes along and says "I'll do all the work of adding text-to-image support" the effort would be a multiplier on the communication and coordination costs of the project. Once it's added, it will likely reduce the progress and efficiency of other work on the project. Mitigating that will require increase the up-front communication and coordination costs.

Ollama currently uses llama.cpp to do a lot of the work of actually supporting a range of large language models. This choice allowed the team to focus on delivering value in other ways. Llama.cpp's reasons for not supporting text-to-image models are probably for similar reasons.

There is plenty to do already in the area of LLMs. Focus is a virtue.

@easp commented on GitHub (Jan 23, 2024): @tripleo There are multiple ways to answer that question. I'm not sure where to start. I guess I'll start by saying I don't have any inside line on what the Ollama developers are thinking. With that out of the way, Ollama doesn't support any text-to-image models because no one has added support for text-to-image models. The team's resources are limited. Even if someone comes along and says "I'll do all the work of adding text-to-image support" the effort would be a multiplier on the communication and coordination costs of the project. Once it's added, it will likely reduce the progress and efficiency of other work on the project. Mitigating that will require increase the up-front communication and coordination costs. Ollama currently uses llama.cpp to do a lot of the work of actually supporting a range of large language models. This choice allowed the team to focus on delivering value in other ways. Llama.cpp's reasons for not supporting text-to-image models are probably for similar reasons. There is plenty to do already in the area of LLMs. Focus is a virtue.

GiteaMirror commented

2026-04-28 01:34:48 -05:00

@YuanfengZhang commented on GitHub (Mar 17, 2024):

Check this repo.

@YuanfengZhang commented on GitHub (Mar 17, 2024): Check this [repo](https://github.com/Dublit-Development/ollama-api?tab=readme-ov-file).

GiteaMirror commented

2026-04-28 01:34:54 -05:00

@m4r1k commented on GitHub (Mar 29, 2024):

If Ollama can also run image generation models, it will become the next docker

@m4r1k commented on GitHub (Mar 29, 2024): If Ollama can also run image generation models, it will become the next docker

GiteaMirror commented

2026-04-28 01:34:57 -05:00

@tarasis commented on GitHub (Apr 20, 2024):

Given Llama3 can do images, I'm certainly interested to try it.

@tarasis commented on GitHub (Apr 20, 2024): Given Llama3 can do images, I'm certainly interested to try it.

GiteaMirror commented

2026-04-28 01:34:59 -05:00

@omerkarabacak commented on GitHub (Apr 21, 2024):

Given Llama3 can do images, I'm certainly interested to try it.

It only does ASCII images

@omerkarabacak commented on GitHub (Apr 21, 2024): > Given Llama3 can do images, I'm certainly interested to try it. It only does ASCII images

GiteaMirror commented

2026-04-28 01:35:04 -05:00

@nongmo677 commented on GitHub (Apr 26, 2024):

who succeeded, please call me

@nongmo677 commented on GitHub (Apr 26, 2024): who succeeded, please call me

GiteaMirror commented

2026-04-28 01:35:08 -05:00

@geroldmeisinger commented on GitHub (Jun 4, 2024):

we would have to find a balanced middle-ground between the minimalism that Ollama provides (a sophisticated and efficient model loader with a simple text prompt and configurable API endpoint) and the features needed to provide a txt2img application that is actually useful.

the most minimal version would have to have a preset of CFG, steps, sampler, schedular values (or provide simple commands to set them) and way to enter the positive and negative prompt. but I assume it will soon grow out of hand, because if you want to do something useful you need support for controlnets, loras, ipadapters etc. and also want visual representations to use certain features (mask editors, area prompting, image previews etc.) which doesn't really fit the Ollama paradigm. then someone has to define a opinionated way how these things play together. that's what Automatic1111 did with the downside that you are kind of restricted and it always takes very long to adopt new developments. ComfyUI is more modular, adopts new technology faster, but you have to setup everything on your own. and there is also still a lot of development in very fundamental features (see recent developments in Align-your-steps schedulers, Bosh3 ODE solver, GITS sampler, IPNMP sampler, high-CFG fixes, TensorRT support etc.) which need be implemented quickly. Automatic1111 lost a lot of its userbase because SDXL implementation took 1 week too long. Ollama then would be reduced to the efficient model loader for those UIs, which simply request the latent images, clip embeddings and VAE coding/decoding and the rest is done in the UI, and the REPL could provide a simple textprompt for testing plain txt2img.

default workflow in ComfyUI:

There are plenty of Stable Diffusion UIs and all of them are drowning in issues and features because of this:

Automatic1111: most popular, most fully-integrated environment
ComfyUI: very modular, usually has the newest features first, allows flexible workflows
Fooocus: restricted and opinionated but focused on providing a simple UI which produces good output out of the box (original author is the inventor of ControlNets and has a deep understanding of the inner workings of Stable Diffusion). probably the closest to Dall-E 3 (Fooocus provides a GPT2 prompt rewrite engine in the background)
SD.Next: fork and overhaul of Automatic1111 because everything took sooo long to implement
etc.
(I think all of them provide API endpoints)

If you want to integrate it, HuggingFace diffusers has good integration and a lot of example code and documentation: https://huggingface.co/docs/diffusers . I'd recommend Stable Diffusion 1.5 because it has the lowest hardware requirements and integration is simpler and will be faster. Later models have more specifics which require more attention to detail.

@geroldmeisinger commented on GitHub (Jun 4, 2024): we would have to find a balanced middle-ground between the minimalism that Ollama provides (a sophisticated and efficient model loader with a simple text prompt and configurable API endpoint) and the features needed to provide a txt2img application that is actually useful. the most minimal version would have to have a preset of CFG, steps, sampler, schedular values (or provide simple commands to set them) and way to enter the positive and negative prompt. but I assume it will soon grow out of hand, because if you want to do something useful you need support for controlnets, loras, ipadapters etc. and also want visual representations to use certain features (mask editors, area prompting, image previews etc.) which doesn't really fit the Ollama paradigm. then someone has to define a opinionated way how these things play together. that's what Automatic1111 did with the downside that you are kind of restricted and it always takes very long to adopt new developments. ComfyUI is more modular, adopts new technology faster, but you have to setup everything on your own. and there is also still a lot of development in very fundamental features (see recent developments in Align-your-steps schedulers, Bosh3 ODE solver, GITS sampler, IPNMP sampler, high-CFG fixes, TensorRT support etc.) which need be implemented quickly. Automatic1111 lost a lot of its userbase because SDXL implementation took 1 week too long. Ollama then would be reduced to the efficient model loader for those UIs, which simply request the latent images, clip embeddings and VAE coding/decoding and the rest is done in the UI, and the REPL could provide a simple textprompt for testing plain txt2img. default workflow in ComfyUI: ![Screenshot from 2024-07-30 09-09-49](https://github.com/user-attachments/assets/080387a5-b9fa-40c7-9f2a-d14c3ee921da) There are plenty of Stable Diffusion UIs and all of them are drowning in issues and features because of this: - Automatic1111: most popular, most fully-integrated environment - ComfyUI: very modular, usually has the newest features first, allows flexible workflows - Fooocus: restricted and opinionated but focused on providing a simple UI which produces good output out of the box (original author is the inventor of ControlNets and has a deep understanding of the inner workings of Stable Diffusion). probably the closest to Dall-E 3 (Fooocus provides a GPT2 prompt rewrite engine in the background) - SD.Next: fork and overhaul of Automatic1111 because everything took sooo long to implement - etc. (I think all of them provide API endpoints) If you want to integrate it, HuggingFace diffusers has good integration and a lot of example code and documentation: https://huggingface.co/docs/diffusers . I'd recommend Stable Diffusion 1.5 because it has the lowest hardware requirements and integration is simpler and will be faster. Later models have more specifics which require more attention to detail.

GiteaMirror commented

2026-04-28 01:35:12 -05:00

@vlad-ivanov-name commented on GitHub (Jul 19, 2024):

I think one of the reasons ollama became popular is its consistently reliable user experience out of the box. If I had to guess, many people don't necessarily want or need diffusion models specifically in ollama but would like to have an app that would work just as well as ollama. My personal opinion is that apart from the focus of the development team, this is also about the programming language projects are written in. Go at least has basic features like static checking, pinned dependencies, self-contained binaries etc that often improve the experience of users consuming the end product. So I would understand if people tired of broken Python projects with half-assed dependency management and runtime crashes wanted to instead get UX similar to ollama.

I do also hope eventually to see a project similar in quality to ollama but for diffusion models.

@vlad-ivanov-name commented on GitHub (Jul 19, 2024): I think one of the reasons ollama became popular is its consistently reliable user experience out of the box. If I had to guess, many people don't necessarily want or need diffusion models specifically in ollama but would like to have an app that would work just as well as ollama. My personal opinion is that apart from the focus of the development team, this is also about the programming language projects are written in. Go at least has basic features like static checking, pinned dependencies, self-contained binaries etc that often improve the experience of users consuming the end product. So I would understand if people tired of broken Python projects with half-assed dependency management and runtime crashes wanted to instead get UX similar to ollama. I do also hope eventually to see a project similar in quality to ollama but for diffusion models.

GiteaMirror commented

2026-04-28 01:35:16 -05:00

@S0AndS0 commented on GitHub (Nov 25, 2024):

Hello @SabareeshGC,

There is a tutorial for importing models. Which model would you like to get supported by ollama? How about SDXL?

Best, Orkut

After finding a GGUF format of Stable Diffusion, and doing a bit of reading the friendly manual, I'll confess I be a bit stuck with the following error;

Error: Post "http://127.0.0.1:11434/api/generate": EOF

Steps to reproduce

Note; one, of many, prerequisites be getting Git LFS (Large Filesystem) setup, but such things are out of scope... for now.

Clone the GGUF repo

mkdir -vp "${HOME}/git/face/gpustack"
pushd "${_}"

git clone https://huggingface.co/gpustack/stable-diffusion-v1-4-GGUF
popd

Make a repo for Ollama configurations

mkdir -vp "${HOME}/git/hub/S0AndS0/"
pushd "${_}"

git init ollama-sdv14-gguf-q8
pushd "${_}"

tee Modelfile 1>/dev/null <<EOF
FROM ${HOME}/git/face/gpustack/stable-diffusion-v1-4-GGUF/stable-diffusion-v1-4-Q8_0.gguf
PARAMETER temperature 1
SYSTEM """
You make pretty images from text prompts provided
"""
EOF

popd 2

Tell Ollama about the Modelfile

ollama create sdx1 -f "${HOME}/git/hub/S0AndS0/ollama-sdv14-gguf-q8/Modelfile"

Restart service

sudo systemctl restart ollama.service

Attempt to run

ollama run sdx1
#> Error: Post "http://127.0.0.1:11434/api/generate": EOF

Notes and thoughts

Skimming other replies in this here Issue it seems there be some other bits of stuff that needs setup before any can hope for text-to-image models to work, but I figured I'd share where I got stuck in case anyone else wants to pickup the metaphorical baton from here.

@S0AndS0 commented on GitHub (Nov 25, 2024): > Hello @SabareeshGC, > > There is [a tutorial](https://github.com/jmorganca/ollama/blob/main/docs/import.md) for importing models. Which model would you like to get supported by ollama? How about [SDXL](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0)? > > Best, Orkut After finding a [GGUF](https://huggingface.co/gpustack/stable-diffusion-v1-4-GGUF/tree/main) format of Stable Diffusion, and doing a bit of reading the friendly manual, I'll confess I be a bit stuck with the following error; ``` Error: Post "http://127.0.0.1:11434/api/generate": EOF ``` --- ## Steps to reproduce > Note; one, of many, prerequisites be getting Git LFS (Large Filesystem) setup, but such things are out of scope... for now. ### Clone the GGUF repo ```bash mkdir -vp "${HOME}/git/face/gpustack" pushd "${_}" git clone https://huggingface.co/gpustack/stable-diffusion-v1-4-GGUF popd ``` ### Make a repo for Ollama configurations ```bash mkdir -vp "${HOME}/git/hub/S0AndS0/" pushd "${_}" git init ollama-sdv14-gguf-q8 pushd "${_}" tee Modelfile 1>/dev/null <<EOF FROM ${HOME}/git/face/gpustack/stable-diffusion-v1-4-GGUF/stable-diffusion-v1-4-Q8_0.gguf PARAMETER temperature 1 SYSTEM """ You make pretty images from text prompts provided """ EOF popd 2 ``` ### Tell Ollama about the Modelfile ```bash ollama create sdx1 -f "${HOME}/git/hub/S0AndS0/ollama-sdv14-gguf-q8/Modelfile" ``` ### Restart service ```bash sudo systemctl restart ollama.service ``` ### Attempt to run ```bash ollama run sdx1 #> Error: Post "http://127.0.0.1:11434/api/generate": EOF ``` --- ## Notes and thoughts Skimming other replies in this here Issue it seems there be _some_ other bits of stuff that needs setup before any can hope for text-to-image models to work, but I figured I'd share where I got stuck in case anyone else wants to pickup the metaphorical baton from here.

GiteaMirror commented

2026-04-28 01:35:21 -05:00

@reneleonhardt commented on GitHub (May 24, 2025):

The 0.7.0 release says

Ollama now supports multimodal models via Ollama’s new engine, starting with new vision multimodal models:

Is this issue still unresolved?

@reneleonhardt commented on GitHub (May 24, 2025): The 0.7.0 release says > Ollama now supports multimodal models via Ollama’s new engine, starting with new vision multimodal models: Is this issue still unresolved?

GiteaMirror commented

2026-04-28 01:35:28 -05:00

@CleyFaye commented on GitHub (Jun 4, 2025):

The 0.7.0 release says

Ollama now supports multimodal models via Ollama’s new engine, starting with new vision multimodal models:

Is this issue still unresolved?

Multimodal in this case likely reference providing multiple inputs, as opposed to producing output.

@CleyFaye commented on GitHub (Jun 4, 2025): > The 0.7.0 release says > > > Ollama now supports multimodal models via Ollama’s new engine, starting with new vision multimodal models: > > Is this issue still unresolved? Multimodal in this case likely reference providing multiple inputs, as opposed to producing output.

GiteaMirror commented

2026-04-28 01:35:32 -05:00

@VictorVow commented on GitHub (Jan 22, 2026):

This is now available on MacOS.

@VictorVow commented on GitHub (Jan 22, 2026): [This is now available on MacOS.](https://github.com/ollama/ollama/releases/tag/v0.14.3)

GiteaMirror commented

2026-04-28 01:35:35 -05:00

@aole commented on GitHub (Mar 10, 2026):

Any update on windows support?

@aole commented on GitHub (Mar 10, 2026): Any update on windows support?

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jmorganca/glm-4.6

jmorganca/gin-h-compat

drifkin/stable-tool-args

pdevine/qwen3-more-thinking

parth/add-websearch-client

nicole/websearch_local

jmorganca/qwen3-coder-updates

grace/deepseek-v3-migration-tests

mxyng/fix-create

jmorganca/cloud-errors

pdevine/parser-tidy

revert-12233-parth/simplify-entrypoints-runner

parth/enable-so-gpt-oss

brucemacd/qwen3vl

jmorganca/readme-simplify

parth/gpt-oss-structured-outputs

revert-12039-jmorganca/tools-braces

mxyng/embeddings

mxyng/gguf

mxyng/benchmark

mxyng/types-null

parth/move-parsing

mxyng/gemma2

jmorganca/docs

mxyng/16-bit

mxyng/create-stdin

pdevine/authorizedkeys

mxyng/quant

parth/opt-in-error-context-window

brucemacd/cache-models

brucemacd/runner-completion

jmorganca/llama-update-6

brucemacd/benchmark-list

brucemacd/partial-read-caps

parth/deepseek-r1-tools

mxyng/omit-array

parth/tool-prefix-temp

brucemacd/runner-test

jmorganca/qwen25vl

brucemacd/model-forward-test-ext

parth/python-function-parsing

jmorganca/cuda-compression-none

drifkin/num-parallel

drifkin/chat-truncation-fix

jmorganca/sync

parth/python-tools-calling

drifkin/array-head-count

brucemacd/create-no-loop

parth/server-enable-content-stream-with-tools

qwen25omni

mxyng/v3

brucemacd/ropeconfig

jmorganca/silence-tokenizer

parth/sample-so-test

parth/sampling-structured-outputs

brucemacd/doc-go-engine

parth/constrained-sampling-json

jmorganca/mistral-wip

brucemacd/mistral-small-convert

parth/sample-unmarshal-json-for-params

brucemacd/jomorganca/mistral

pdevine/bfloat16

jmorganca/mistral

brucemacd/mistral

pdevine/logging

parth/sample-correctness-fix

parth/sample-fix-sorting

jmorgan/sample-fix-sorting-extras

jmorganca/temp-0-images

brucemacd/parallel-embed-models

brucemacd/shim-grammar

jmorganca/fix-gguf-error

bmizerany/nameswork

jmorganca/faster-releases

bmizerany/validatenames

brucemacd/err-no-vocab

brucemacd/rope-config

brucemacd/err-hint

brucemacd/qwen2_5

brucemacd/logprobs

brucemacd/new_runner_graph_bench

progress-flicker

brucemacd/forward-test

brucemacd/go_qwen2

pdevine/gemma2

jmorganca/add-missing-symlink-eval

mxyng/next-debug

parth/set-context-size-openai

brucemacd/next-bpe-bench

brucemacd/next-bpe-test

brucemacd/new_runner_e2e

brucemacd/new_runner_qwen2

pdevine/convert-cohere2

brucemacd/convert-cli

parth/log-probs

mxyng/next-mlx

mxyng/cmd-history

parth/templating

parth/tokenize-detokenize

brucemacd/check-key-register

bmizerany/grammar

jmorganca/vendor-081b29bd

mxyng/func-checks

jmorganca/fix-null-format

parth/fix-default-to-warn-json

jmorganca/qwen2vl

jmorganca/no-concat

parth/cmd-cleanup-SO

brucemacd/check-key-register-structured-err

parth/openai-stream-usage

parth/fix-referencing-so

stream-tools-stop

jmorganca/degin-1

brucemacd/install-path-clean

brucemacd/push-name-validation

brucemacd/browser-key-register

jmorganca/openai-fix-first-message

jmorganca/fix-proxy

jessegross/sample

parth/disallow-streaming-tools

dhiltgen/remove_submodule

jmorganca/ga

jmorganca/mllama

pdevine/newlines

pdevine/geems-2b

jmorganca/llama-bump

mxyng/modelname-7

mxyng/gin-slog

mxyng/modelname-6

jyan/convert-prog

jyan/quant5

paligemma-support

pdevine/import-docs

jmorganca/openai-context

jyan/paligemma

jyan/p2

jyan/palitest

bmizerany/embedspeedup

jmorganca/llama-vit

brucemacd/allow-ollama

royh/ep-methods

royh/whisper

mxyng/api-models

mxyng/fix-memory

jyan/q4_4/8

jyan/ollama-v

royh/stream-tools

roy-embed-parallel

bmizerany/hrm

revert-5963-revert-5924-mxyng/llama3.1-rope

royh/embed-viz

jyan/local2

jyan/auth

jyan/local

jyan/parse-temp

jmorganca/template-mistral

jyan/reord-g

royh-openai-suffixdocs

royh-imgembed

royh-embed-parallel

jyan/quant4

royh-precision

jyan/progress

pdevine/fix-template

jyan/quant3

pdevine/ggla

mxyng/update-registry-domain

jmorganca/ggml-static

mxyng/create-context

jyan/v0.146

mxyng/layers-from-files

build_dist

bmizerany/noseek

royh-ls

royh-name

timeout

mxyng/server-timestamp

bmizerany/nosillyggufslurps

royh-params

jmorganca/llama-cpp-7c26775

royh-openai-delete

royh-show-rigid

jmorganca/enable-fa

jmorganca/no-error-template

jyan/format

royh-testdelete

bmizerany/fastverify

language_support

pdevine/ps-glitches

brucemacd/tokenize

bruce/iq-quants

bmizerany/filepathwithcoloninhost

mxyng/split-bin

bmizerany/client-registry

jmorganca/if-none-match

native

jmorganca/native

jmorganca/batch-embeddings

jmorganca/initcmake

jmorganca/mm

pdevine/showggmlinfo

modenameenforcealphanum

bmizerany/modenameenforcealphanum

jmorganca/done-reason

jmorganca/llama-cpp-8960fe8

ollama.com

bmizerany/filepathnobuild

bmizerany/types/model/defaultfix

rmdisplaylong

nogogen

bmizerany/x

modelfile-readme

bmizerany/replacecolon

jmorganca/limit

jmorganca/execstack

jmorganca/replace-assets

mxyng/tune-concurrency

jmorganca/testing

whitespace-detection

jmorganca/options

upgrade-all

scratch

cuda-search

mattw/airenamer

mattw/allmodelsonhuggingface

mattw/quantcontext

mattw/whatneedstorun

brucemacd/llama-mem-calc

mattw/faq-context

mattw/communitylinks

mattw/noprune

mattw/python-functioncalling

rename

mxyng/install

pulse

remove-first

editor

mattw/selfqueryingretrieval

cgo

mattw/howtoquant

api

matt/streamingapi

format-config

mxyng/extra-args

shell

update-nous-hermes

cp-model

upload-progress

fix-unknown-model

fix-model-names

delete-fix

insecure-registry

ls

deletemodels

progressbar

readme-updates

license-layers

skip-list

list-models

modelpath

matt/examplemodelfiles

distribution

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Reference: github-starred/ollama#46885