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s3nh

AI & ML interests

Quantization, LLMs, Deep Learning for good. Follow me if you like my work. Patreon.com/s3nh

Recent Activity

reacted to YannisTevissen's post with 👍 4 days ago

Starting this collection to gather models, spaces, dataset or even papers related to disability. Feel free to ping me if you see something relevant to add https://huggingface.co/collections/YannisTevissen/ai-for-disability-67684a1a9966a2e699f6b114

reacted to YannisTevissen's post with 🤗 4 days ago

liked a dataset 4 days ago

boopysaur/pile-distil-vibe-labels-307k

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s3nh's activity

reacted to YannisTevissen's post with 👍🤗 4 days ago

Post

2219

Starting this collection to gather models, spaces, dataset or even papers related to disability. Feel free to ping me if you see something relevant to add

YannisTevissen/ai-for-disability-67684a1a9966a2e699f6b114

reacted to sayakpaul's post with 🔥 25 days ago

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4079

Commits speak louder than words 🤪

* 4 new video models
* Multiple image models, including SANA & Flux Control
* New quantizers -> GGUF & TorchAO
* New training scripts

Enjoy this holiday-special Diffusers release 🤗
Notes: https://github.com/huggingface/diffusers/releases/tag/v0.32.0

reacted to merve's post with 🧠 about 1 month ago

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1774

A complete RAG pipeline includes a reranker, which ranks the documents to find the best document 📓
Same goes for multimodal RAG, multimodal rerankers which we can integrate to multimodal RAG pipelines!
Learn how to build a complete multimodal RAG pipeline with vidore/colqwen2-v1.0 as retriever, lightonai/MonoQwen2-VL-v0.1 as reranker, Qwen/Qwen2-VL-7B-Instruct as VLM in this notebook that runs on a GPU as small as L4 🔥 https://huggingface.co/learn/cookbook/multimodal_rag_using_document_retrieval_and_reranker_and_vlms

reacted to fdaudens's post with 🤗 about 1 month ago

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1293

🤝 Want to share your AI models while protecting your work? Licenses are key!

Fascinating to see that nearly 60% of models on the Hub use Apache & MIT licenses.

Explore the viz here: huggingface/open-source-ai-year-in-review-2024

reacted to Lewdiculous's post with ➕ about 1 month ago

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Hello fellow LLMers, just a quick notice that some of my activity will be moved into the AetherArchitectural Commuity and split with @Aetherarchio .

[here] https://huggingface.co/AetherArchitectural

All activity should be visible in the left side of my profile.

1 reply

reacted to fdaudens's post with 👍 about 1 month ago

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1354

🔍 From instruction-following to creative storytelling, dive into 2024's most impactful AI datasets! These gems are shaping everything from scientific research to video understanding.

Check it out: huggingface/open-source-ai-year-in-review-2024

replied to louisbrulenaudet's post about 1 month ago

very useful, thanks!

reacted to louisbrulenaudet's post with 🤗 about 1 month ago

Post

1836

I’ve published a new dataset to simplify model merging 🤗

This dataset facilitates the search for compatible architectures for model merging with @arcee_ai’s mergekit, streamlining the automation of high-performance merge searches 📖

Dataset : louisbrulenaudet/mergekit-configs

1 reply

reacted to nyuuzyou's post with 👍 about 1 month ago

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✈️ Aircraft Dataset & Generation Model nyuuzyou/aircraft-images & nyuuzyou/AircraftFLUX-LoRA

Dataset Features:
• 165,340 high-res aircraft images with metadata
• Machine-generated English captions
• Detailed aircraft specs, registration & flight info
• Environmental context descriptions

LoRA model specializes in:
• Realistic aircraft generation
• Accurate technical details for unpopular airplanes compared to black-forest-labs/FLUX.1-schnell
• Proper airline liveries
• Contextual aviation scenes

replied to danielhanchen's post about 1 month ago

Amazing, thank you!

reacted to danielhanchen's post with 🤗👍 about 1 month ago

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1513

I uploaded GGUFs, 4bit bitsandbytes and full 16bit precision weights for Llama 3.3 70B Instruct are here: unsloth/llama-33-all-versions-67535d7d994794b9d7cf5e9f

You can also finetune Llama 3.3 70B in under 48GB of VRAM with Unsloth!
GGUFs: unsloth/Llama-3.3-70B-Instruct-GGUF
BnB 4bit: unsloth/Llama-3.3-70B-Instruct-bnb-4bit
16bit: unsloth/Llama-3.3-70B-Instruct

1 reply

reacted to stefan-it's post with ❤️ about 1 month ago

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1299

My latest project is the outcome of the last 2+ years working with TPUs from the amazing TPU Research Cloud (TRC) program and training Encoder-only LMs with the TensorFlow Model Garden library.

👉 Link: https://github.com/stefan-it/model-garden-lms

An overview of some features:

- Cheatsheet for setting-up a TPU VM Pod (with all necessary dependencies) to pretrain LMs with TF Model Garden
- Conversion scripts that convert TF Model Garden weights to Hugging Face Transformers-compatible models
- Supported architectures include BERT, BERT with Token Dropping and TEAMS

I also released BERT-based models pretrained on the great Hugging Face FineWeb and FineWeb-Edu datasets (10BT subset). With more to come!

👉 Model Hub Link: https://huggingface.co/model-garden-lms

If you find these resources useful, please give them a like!

Made from Bavarian Oberland with ❤️ and 🥨.

reacted to lucifertrj's post with 👀 about 1 month ago

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516

Image Prompt Engineering Guide:
➡️ Artistic styling for Image generation
➡️ Prompt weighting using the parentheses method to generate realistic images.
➡️ Advanced features like style and positioning control[experimental].
➡️ Image placement on the generated AI image using Recraft V3 Mockup.

Watch: https://www.youtube.com/watch?v=d3nUG28-jIc

replied to AtAndDev's post about 1 month ago

Sent u an email

reacted to davidberenstein1957's post with 🔥 about 1 month ago

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1357

🐇 Tumble down the AI rabbit hole without any technical knowledge!

Explore AI models on the Hub by a simple and quick search

Demo: davidberenstein1957/transformers-pipeline-playground

replied to davidberenstein1957's post about 1 month ago

Looking great, cznnot wait to test, thank you 🤗

reacted to davidberenstein1957's post with ❤️🔥 about 1 month ago

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4199

Introducing the Synthetic Data Generator, a user-friendly application that takes a no-code approach to creating custom datasets with Large Language Models (LLMs). The best part: A simple step-by-step process, making dataset creation a non-technical breeze, allowing anyone to create datasets and models in minutes and without any code.

Blog: https://huggingface.co/blog/synthetic-data-generator
Space: argilla/synthetic-data-generator

4 replies