Tomislav Glavaš

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liked a model 10 days ago

n00nehere/recursive-bitnet-ngram-102M-64K-instruct-preview

Text Generation • 0.1B • Updated 16 days ago • 165 • 3

liked 2 models about 2 months ago

speach1sdef178/MiniMax-H3-Semantic-Bridge

Updated Sep 9 • 3.31k • 95

RedHatAI/Qwen3.8-27B-INT4

Image-Text-to-Text • 27B • Updated 28 days ago • 214k • 57

liked 2 models 2 months ago

DragonBophades/BigBubba-Qwen3.8-27B-LoRA

Updated Aug 15 • 14 • 1

DragonBophades/Eintopf-Qwen3.8-27B

Image-Text-to-Text • 28B • Updated Aug 14 • 49 • 2

liked 4 models 3 months ago

neroued/Qwen3.6-35B-A3B-NInfer

Image-Text-to-Text • Updated Sep 15 • 17.4k • 11

Kwaipilot/KAT-Coder-V2.5-Dev

Text Generation • 35B • Updated Jul 28 • 11.8k • 671

ai9stars/G9v3-3B

Text Generation • 3B • Updated Jul 22 • 1.45k • 62

Nimbus-Labs/Nimbus-9B-v2.1-GGUF

Image-Text-to-Text • 9B • Updated Jul 27 • 185 • 5

reacted to AlexBodner's post with 🔥 about 2 years ago

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💾🧠How much VRAM will you need for training your AI model? 💾🧠
Check out this app where you convert:
Pytorch/tensorflow summary -> required VRAM
or
Parameter count -> required VRAM

Use it in: http://howmuchvram.com

And everything is open source! Ask for new functionalities or contribute in:
https://github.com/AlexBodner/How_Much_VRAM
If it's useful to you leave a star 🌟and share it to someone that will find the tool useful!
More discussion in: https://x.com/AlexBodner_/status/1832054850294812679

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