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Milan Kryl

mikr

http://www.milankryl.cz/

mikr
krylm

AI & ML interests

None yet

Recent Activity

liked a model 2 days ago

hexgrad/Kokoro-82M

liked a model 3 months ago

StephanST/WALDO30

upvoted an article 3 months ago

View all activity

Organizations

mikr's activity

liked a model 2 days ago

hexgrad/Kokoro-82M

Text-to-Speech • Updated 7 days ago • 11.4k • 863

liked a model 3 months ago

StephanST/WALDO30

Object Detection • Updated Oct 9, 2024 • 197

upvoted an article 3 months ago

Article

🇨🇿 BenCzechMark - Can your LLM Understand Czech?

Oct 1, 2024

• 19

liked a model 4 months ago

utter-project/EuroLLM-1.7B

Text Generation • Updated Nov 27, 2024 • 4.87k • 55

liked a model 6 months ago

abacaj/llama-161M-100B

Text Generation • Updated Jul 7, 2024 • 180 • 23

liked a dataset 9 months ago

HuggingFaceFW/fineweb

Viewer • Updated 10 days ago • 48.6B • 169k • 1.82k

New activity in BUT-FIT/csmpt7b 10 months ago

Fixed broken link for BUT-LCC dataset

#1 opened 10 months ago by

mikr

liked a model 11 months ago

kaitchup/Llama-2-7b-mt-Czech-to-English

Translation • Updated Nov 2, 2023 • 4 • 4

replied to merve's post 11 months ago

That's nice! I've requested to join the group, modified my spaces to have proper decorators. So I hope I'll be confirmed :)

updated 2 Spaces 11 months ago

Sleeping

🐢

nomic-ai/nomic-embed-text-v1

updated a model 12 months ago

mikr/w2v-bert-2.0-czech-colab-cv16

Automatic Speech Recognition • Updated Feb 2, 2024 • 17 • 2

reacted to merve's post with 👍 12 months ago

Post

Migrated all my GPU consuming Spaces to ZERO, it was super easy to do so (add three lines of code and voila!) and the start-up time decreased dramatically as well 💜

17 replies

reacted to philschmid's post with 👍❤️ 12 months ago

Post

What's the best way to fine-tune open LLMs in 2024? Look no further! 👀 I am excited to share “How to Fine-Tune LLMs in 2024 with Hugging Face” using the latest research techniques, including Flash Attention, Q-LoRA, OpenAI dataset formats (messages), ChatML, Packing, all built with Hugging Face TRL. 🚀

It is created for consumer-size GPUs (24GB) covering the full end-to-end lifecycle with:
💡Define and understand use cases for fine-tuning
🧑🏻‍💻 Setup of the development environment
🧮 Create and prepare dataset (OpenAI format)
🏋️‍♀️ Fine-tune LLM using TRL and the SFTTrainer
🥇 Test and evaluate the LLM
🚀 Deploy for production with TGI

👉 https://www.philschmid.de/fine-tune-llms-in-2024-with-trl

Coming soon: Advanced Guides for multi-GPU/multi-Node full fine-tuning and alignment using DPO & KTO. 🔜