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Csplk

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Reacted to prithivMLmods's post with πŸ‘ about 20 hours ago
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Weekend Dribble πŸ“¦πŸΊ

Adapters for Product Ad Backdrops, Smooth Polaroids, Minimalist Sketch cards, Super Blends!!

🀏Demo on: prithivMLmods/FLUX-LoRA-DLC

Stranger Zones :
πŸ‘‰πŸΌ{ Super Blend } : strangerzonehf/Flux-Super-Blend-LoRA

πŸ‘‰πŸΌ{ Product Concept Ad } : prithivMLmods/Flux-Product-Ad-Backdrop
πŸ‘‰πŸΌ{ Frosted Mock-ups } : prithivMLmods/Flux.1-Dev-Frosted-Container-LoRA
πŸ‘‰πŸΌ{ Polaroid Plus } : prithivMLmods/Flux-Polaroid-Plus
πŸ‘‰πŸΌ{Sketch Cards} : prithivMLmods/Flux.1-Dev-Sketch-Card-LoRA

πŸ‘‰Stranger Zone: https://huggingface.co/strangerzonehf

πŸ‘‰Flux LoRA Collections: prithivMLmods/flux-lora-collections-66dd5908be2206cfaa8519be

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@prithivMLmods πŸ€—
Reacted to csabakecskemeti's post with πŸ‘ 5 days ago
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1198
Some time ago, I built a predictive LLM router that routes chat requests between small and large LLM models based on prompt classification. It dynamically selects the most suitable model depending on the complexity of the user input, ensuring optimal performance while maintaining conversation context. I also fine-tuned a RoBERTa model to use with the package, but you can plug and play any classifier of your choice.

Project's homepage:
https://devquasar.com/llm-predictive-router/
Pypi:
https://pypi.org/project/llm-predictive-router/
Model:
DevQuasar/roberta-prompt_classifier-v0.1
Training data:
DevQuasar/llm_router_dataset-synth
Git:
https://github.com/csabakecskemeti/llm_predictive_router_package

Feel free to check it out, and/or contribute.