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Max Glushko

Pelmeshek
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reacted to Jaward's post with 👀 about 1 month ago
nanoBLT: Simplified lightweight implementation of a character-level Byte Latent Transformer model (under 500 lines of code). The model is 2x4x2 (n_layers_encoder, n_layers_latent, n_layers_decoder) layer deep trained on ~1M bytes of tiny Shakespeare with a patch size of 4. Code: https://github.com/Jaykef/ai-algorithms/blob/main/byte_latent_transformer.ipynb
liked a model 4 months ago
meta-llama/Llama-3.2-1B-Instruct
updated a model 6 months ago
Pelmeshek/sd-class-butterflies-64
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Pelmeshek's activity

reacted to Jaward's post with 👀 about 1 month ago
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nanoBLT: Simplified lightweight implementation of a character-level Byte Latent Transformer model (under 500 lines of code). The model is 2x4x2 (n_layers_encoder, n_layers_latent, n_layers_decoder) layer deep trained on ~1M bytes of tiny Shakespeare with a patch size of 4.

Code: https://github.com/Jaykef/ai-algorithms/blob/main/byte_latent_transformer.ipynb
liked a model 4 months ago
updated 2 models 6 months ago
upvoted 2 collections 8 months ago
liked a model 9 months ago
liked a model 10 months ago
liked 2 Spaces 11 months ago
updated 2 datasets 11 months ago
reacted to clefourrier's post with ❤️ 12 months ago
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🔥 New LLM leaderboard on the hub: an Enterprise Scenarios Leaderboard!

This work evaluates LLMs on several real world use cases (Finance documents, Legal confidentiality, Customer support, ...), which makes it grounded, and interesting for companies! 🏢
Bonus: the test set is private, so it's hard to game 🔥
PatronusAI/enterprise_scenarios_leaderboard

Side note: I discovered through this benchmark that you could evaluate "Engagingness" of an LLM, which could also be interesting for our LLM fine-tuning community out there.

Read more about their different tasks and metrics in the intro blog: https://huggingface.co/blog/leaderboards-on-the-hub-patronus

Congrats to @sunitha98 who led the leaderboard implementation, and to @rebeccaqian and @anandnk24 , all at Patronus AI !
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reacted to julien-c's post with 👍 12 months ago
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📣 NEW on HF

the Dataset Viewer is now available on *private datasets* too

You need to be a PRO or a Enterprise Hub user. 🔥

Great work from our Datasets team 🥰: @lhoestq @severo @polinaeterna @asoria @albertvillanova and the whole team 🥰
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reacted to Locutusque's post with 👍 12 months ago
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Introducing the "UltraTextbooks" dataset 🚀📚
Check it out here: Locutusque/UltraTextbooks
📘 A comprehensive collection of high-quality synthetic and human-written textbooks
👨‍🎓 Spanning various subjects and programming languages
🔧 Designed for advanced NLP tasks like language modeling, educational QA, text summarization, and content generation for edu purposes
🚀 Future expansions planned with additional data sources to enhance the corpus
👇 Data composition highlights 👇
- Blend of synthetic and human-written material
- Includes topics from general edu to specialized areas
- Structured with field "text"
🧩 Data collection from various Hugging Face datasets, guided by a diverse and comprehensive curation rationale
🚧 Limitations may exist, so report any issues you encounter
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liked 2 models over 1 year ago
liked a dataset about 2 years ago