5 2 3

Karthika Rajagopal R S

KarthikaRajagopal

AI & ML interests

NLP, reinforcement learning, Generative AI

Recent Activity

upvoted a paper 23 days ago

TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks

new activity 28 days ago

KarthikaRajagopal/fake_news.h5:Project Discussion Request - Fake News - Multimodal Dataset

new activity 30 days ago

KarthikaRajagopal/kaggle_fake_train:Librarian Bot: Add language metadata for dataset

View all activity

Organizations

KarthikaRajagopal's activity

upvoted a paper 23 days ago

TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks

Paper • 2412.14161 • Published 25 days ago • 49

New activity in KarthikaRajagopal/fake_news.h5 28 days ago

Project Discussion Request - Fake News - Multimodal Dataset

#1 opened 28 days ago by

mbashas

New activity in KarthikaRajagopal/kaggle_fake_train 30 days ago

Librarian Bot: Add language metadata for dataset

#2 opened 30 days ago by

librarian-bot

reacted to sayakpaul's post with ❤️❤️ about 1 month ago

Post

2638

It's been a while we shipped native quantization support in diffusers 🧨

We currently support bistandbytes as the official backend but using others like torchao is already very simple.

This post is just a reminder of what's possible:

1. Loading a model with a quantization config
2. Saving a model with quantization config
3. Loading a pre-quantized model
4. enable_model_cpu_offload()
5. Training and loading LoRAs into quantized checkpoints

Docs:
https://huggingface.co/docs/diffusers/main/en/quantization/bitsandbytes