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Hold my Pepsi... you have only WHL :-D triton-3.0.0-cp311-cp311-win_amd64.whl Download here: https://1drv.ms/u/s!Aq5X0D4OWWATiKkx8gdY012BCa_wVQ?e=SaCr0l What is so good on Triton anyway? They just rape vLLM. You should check out SGLang, very nice. I'm building my own OpenAI API gateway that will feature plug n play models and cover functionality of Ollama, LT Studio, OpenVINO and will feature nice dashboard with statistics and some Red Team System Prompts muhehehe. |
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Closing this discussion due to age and Windows whl having been published with version 0.15.0 on PyPI. |
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0.15.0 is half year old and for recent Pytorch and Microsoft and Intel AI toolkits, Cuda 12.4 and Python 3.12 build is required. On top of that, that WHL:
You can close all other Windows discussions due to age as well - where you mostly promise Windows build. This Deepseek is useless in current implementation. I will do it properly myself. Compile all Deepseek dependecies and then compile Deepseek with all the features. I bought i9 Core Ultra 285K + RTX 4090 for $6000 and I even did not get to developing AI yet. Only preparing build system and libraries so something basic can run properly. The cost of the time I need to spend is getting high, so I might be a bit grumpy these days :) |
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this gets us one step closer to a working windows version but it's still erroring out during install bc it's looking for lscpu info instead of Windows. I'm not totally inept at coding but my skills are subpar at best if anyone else feels like taking a crack at getting it installed. I know someone managed to get the build whl built but I have no idea where I saw it anymore... here's the triton 2.0.0 download. it didn't trigger any flags when scanning in Defender https://transfer.sh/me0xpC/triton-2.0.0-cp310-cp310-win_amd64.whl just download the file. activate whatever virtual environment and pip install the filename from your downloads folder
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