[GH-ISSUE #1269] Quantizated models availability in the default library #650

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opened 2026-04-12 10:20:35 -05:00 by GiteaMirror · 2 comments
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Originally created by @ghost on GitHub (Nov 24, 2023).
Original GitHub issue: https://github.com/ollama/ollama/issues/1269

I've being using text-generation-webui to load 3 bit quantized models to fit my GPU memory (a GTX 1650, 4GB dedicated memory). I usually go to the user TheBloke hugging Face page and check if there is a compatible model. It is a straightforward process, very easy to acomplish requiring just the path and the models name (mostly GGUF format). Most the times they provide the template for instruction tasks, and I practically don't have to touch a single line in any configuration file to work. I'm satisfied with the inference process, and I get stable results that range from 10 to 15 tokens / s.

About your project, the ollama, when I saw the available library, I couldn't load practically any model because anything >= 4 bit precision is too much for my GPU memory.

I'm here to ask, if it's not a difficult task, and if you trust users like TheBloke, to make these quantized models available to use by a simple "one click" install in your UI. These models are already available and free to use. I'm asking a practial UI to use them with few steps without the need to write configuration files for them to work.

Thanks!

Originally created by @ghost on GitHub (Nov 24, 2023). Original GitHub issue: https://github.com/ollama/ollama/issues/1269 I've being using [text-generation-webui](https://github.com/oobabooga/text-generation-webui) to load 3 bit quantized models to fit my GPU memory (a GTX 1650, 4GB dedicated memory). I usually go to the user [TheBloke hugging Face](https://huggingface.co/TheBloke) page and check if there is a compatible model. It is a straightforward process, very easy to acomplish requiring just the path and the models name (mostly GGUF format). Most the times they provide the template for instruction tasks, and I practically don't have to touch a single line in any configuration file to work. I'm satisfied with the inference process, and I get stable results that range from 10 to 15 tokens / s. About your project, the ollama, when I saw the available library, I couldn't load practically any model because anything >= 4 bit precision is too much for my GPU memory. I'm here to ask, if it's not a difficult task, and if you trust users like TheBloke, to make these quantized models available to use by a simple "one click" install in your UI. These models are already available and free to use. I'm asking a practial UI to use them with few steps without the need to write configuration files for them to work. Thanks!
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@ghost commented on GitHub (Nov 24, 2023):

I'm very sorry, I'm writing this without testing the new updates (I tested long time ago). I see that there are some quantized models now.

Maybe I'm asking just a better integration with Hugging Face.

Anyway, thank you so much. Now I can test some models with your app!

<!-- gh-comment-id:1826064704 --> @ghost commented on GitHub (Nov 24, 2023): I'm very sorry, I'm writing this without testing the new updates (I tested long time ago). I see that there are some quantized models now. Maybe I'm asking just a better integration with Hugging Face. Anyway, thank you so much. Now I can test some models with your app!
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Owner

@jmorganca commented on GitHub (Nov 24, 2023):

Thanks @guinanet, I really appreciate you creating an issue. Keep an eye on https://github.com/jmorganca/ollama/issues/1267!

<!-- gh-comment-id:1826073022 --> @jmorganca commented on GitHub (Nov 24, 2023): Thanks @guinanet, I really appreciate you creating an issue. Keep an eye on https://github.com/jmorganca/ollama/issues/1267!
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Reference: github-starred/ollama#650