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The Fellowship is a network of exceptional people from different backgrounds who contribute to open-source machine learning 🧙‍♂️🦸‍♀️🦹🧝‍♂️

Recent Activity

mariagrandury  authored a paper 3 days ago
Kaleidoscope: In-language Exams for Massively Multilingual Vision Evaluation
mariagrandury  authored a paper 3 days ago
It's the same but not the same: Do LLMs distinguish Spanish varieties?
shivalikasingh  authored a paper 29 days ago
The Leaderboard Illusion
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hugging-fellows's activity

merve 
posted an update 1 day ago
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1954
emerging trend: models that can understand image + text and generate image + text

don't miss out ⤵️
> MMaDA: single 8B diffusion model aligned with CoT (reasoning!) + UniGRPO Gen-Verse/MMaDA
> BAGEL: 7B MoT model based on Qwen2.5, SigLIP-so-400M, Flux VAE ByteDance-Seed/BAGEL
both by ByteDance! 😱

I keep track of all any input → any output models here merve/any-to-any-models-6822042ee8eb7fb5e38f9b62
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merve 
posted an update 3 days ago
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2974
what happened in open AI past week? so many vision LM & omni releases 🔥 merve/releases-23-may-68343cb970bbc359f9b5fb05

multimodal 💬🖼️
> new moondream (VLM) is out: it's 4-bit quantized (with QAT) version of moondream-2b, runs on 2.5GB VRAM at 184 tps with only 0.6% drop in accuracy (OS) 🌚
> ByteDance released BAGEL-7B, an omni model that understands and generates both image + text. they also released Dolphin, a document parsing VLM 🐬 (OS)
> Google DeepMind dropped MedGemma in I/O, VLM that can interpret medical scans, and Gemma 3n, an omni model with competitive LLM performance

> MMaDa is a new 8B diffusion language model that can generate image and text



LLMs
> Mistral released Devstral, a 24B coding assistant (OS) 👩🏻‍💻
> Fairy R1-32B is a new reasoning model -- distilled version of DeepSeek-R1-Distill-Qwen-32B (OS)
> NVIDIA released ACEReason-Nemotron-14B, new 14B math and code reasoning model
> sarvam-m is a new Indic LM with hybrid thinking mode, based on Mistral Small (OS)
> samhitika-0.0.1 is a new Sanskrit corpus (BookCorpus translated with Gemma3-27B)

image generation 🎨
> MTVCrafter is a new human motion animation generator
mariagrandury 
authored 2 papers 3 days ago
clem 
posted an update 3 days ago
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2955
It's just become easier to share your apps on the biggest AI app store (aka HF spaces) for unlimited storage, more visibility and community interactions.

Just pick a React, Svelte, or Vue template when you create your space or add app_build_command: npm run build in your README's YAML and app_file: build/index.html in your README's YAML block.

Or follow this link: https://huggingface.co/new-space?sdk=static

Let's build!
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merve 
posted an update 7 days ago
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2521
Google released MedGemma on I/O'25 👏 google/medgemma-release-680aade845f90bec6a3f60c4

> 4B and 27B instruction fine-tuned vision LMs and a 4B pre-trained vision LM for medicine
> available with transformers from the get-go 🤗

they also released a cool demo for scan reading ➡️ google/rad_explain

use with transformers ⤵️
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merve 
posted an update 7 days ago
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3036
Bu post'u çevirebilirsiniz 🤗💗
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merve 
posted an update 7 days ago
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2320
tis the year of any-to-any/omni models 🤠
ByteDance-Seed/BAGEL-7B-MoT 7B native multimodal model that understands and generates both image + text

it outperforms leading VLMs like Qwen 2.5-VL 👏 and has Apache 2.0 license 😱
clem 
posted an update 8 days ago
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3215
Playing with Veo3 this morning. Share your prompt if you want me to create videos for you (bonus point if they funnily reference HF/open-source). These videos are "a cat on the moon rapping "I love Hugging Face""!
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merve 
posted an update 9 days ago
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1691
NVIDIA released new vision reasoning model for robotics: Cosmos-Reason1-7B 🤖 nvidia/cosmos-reason1-67c9e926206426008f1da1b7

> first reasoning model for robotics
> based on Qwen 2.5-VL-7B, use with Hugging Face transformers or vLLM 🤗
> comes with SFT & alignment datasets and a new benchmark 👏
merve 
posted an update 10 days ago
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2551
It was the week of video generation at @huggingface , on top of many new LLMs, VLMs and more!
Let’s have a wrap 🌯 merve/may-16-releases-682aeed23b97eb0fe965345c

LLMs 💬
> Alibaba Qwen released WorldPM-72B, new World Preference Model trained with 15M preference samples (OS)
> II-Medical-8B, new LLM for medical reasoning that comes in 8B by Intelligent-Internet
> TRAIL is a new dataset by Patronus for trace error reasoning for agents (OS)

Multimodal 🖼️💬
> Salesforce Research released BLIP3o, a new any-to-any model with image-text input and image-text output 💬it’s based on an image encoder, a text decoder and a DiT, and comes in 8B
> They also released pre-training and fine-tuning datasets
> MMMG is a multimodal generation benchmark for image, audio, text (interleaved)

Image Generation ⏯️
> Alibaba Wan-AI released Wan2.1-VACE, video foundation model for image and text to video, video-to-audio and more tasks, comes in 1.3B and 14B (OS)
> ZuluVision released MoviiGen1.1, new cinematic video generation model based on Wan 2.1 14B (OS)
> multimodalart released isometric-skeumorphic-3d-bnb, an isometric 3D asset generator (like AirBnB assets) based on Flux
> LTX-Video-0.9.7-distilled is a new real-time video generation (text and image to video) model by Lightricks
> Hidream_t2i_human_preference is a new text-to-image preference dataset by Rapidata with 195k human responses from 38k annotators

Audio 🗣️
> stabilityai released stable-audio-open-small new text-to-audio model
> TEN-framework released ten-vad, voice activity detection model (OS)
merve 
posted an update 13 days ago
clem 
posted an update 15 days ago
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3112
Very cool to see pytorch contributing on Hugging Face. Time to follow them to see what they're cooking!
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merve 
posted an update 17 days ago
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VLMS 2025 UPDATE 🔥

We just shipped a blog on everything latest on vision language models, including
🤖 GUI agents, agentic VLMs, omni models
📑 multimodal RAG
⏯️ video LMs
🤏🏻 smol models
..and more! https://huggingface.co/blog/vlms-2025
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clem 
posted an update 21 days ago
clem 
posted an update 23 days ago
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4049
What are you using to evaluate models or AI systems? So far we're building lighteval & leaderboards on the hub but still feels early & a lot more to build. What would be useful to you?
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merve 
posted an update 23 days ago
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A ton of impactful models and datasets in open AI past week, let's summarize the best 🤩 merve/releases-apr-21-and-may-2-6819dcc84da4190620f448a3

💬 Qwen made it rain! They released Qwen3: new dense and MoE models ranging from 0.6B to 235B 🤯 as well as Qwen2.5-Omni, any-to-any model in 3B and 7B!
> Microsoft AI released Phi4 reasoning models (that also come in mini and plus sizes)
> NVIDIA released new CoT reasoning datasets
🖼️ > ByteDance released UI-TARS-1.5, native multimodal UI parsing agentic model
> Meta released EdgeTAM, an on-device object tracking model (SAM2 variant)
🗣️ NVIDIA released parakeet-tdt-0.6b-v2, a smol 600M automatic speech recognition model
> Nari released Dia, a 1.6B text-to-speech model
> Moonshot AI released Kimi Audio, a new audio understanding, generation, conversation model
👩🏻‍💻 JetBrains released Melium models in base and SFT for coding
> Tesslate released UIGEN-T2-7B, a new text-to-frontend-code model 🤩
merve 
posted an update 24 days ago
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6559
A real-time object detector much faster and accurate than YOLO with Apache 2.0 license just landed to Hugging Face transformers 🔥

D-FINE is the sota real-time object detector that runs on T4 (free Colab) 🤩

> Collection with all checkpoints and demo ustc-community/d-fine-68109b427cbe6ee36b4e7352

Notebooks:
> Tracking https://github.com/qubvel/transformers-notebooks/blob/main/notebooks/DFine_tracking.ipynb
> Inference https://github.com/qubvel/transformers-notebooks/blob/main/notebooks/DFine_inference.ipynb
> Fine-tuning https://github.com/qubvel/transformers-notebooks/blob/main/notebooks/DFine_finetune_on_a_custom_dataset.ipynb
h/t @vladislavbro @qubvel-hf @ariG23498 and the authors of the paper 🎩

Regular object detectors attempt to predict bounding boxes in (x, y, w, h) pixel perfect coordinates, which is very rigid and hard to solve 🥲☹️



D-FINE formulates object detection as a distribution for bounding box coordinates, refines them iteratively, and it's more accurate 🤩

Another core idea behind this model is Global Optimal Localization Self-Distillation ⤵️

this model uses final layer's distribution output (sort of like a teacher) to distill to earlier layers to make early layers more performant.

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BramVanroy 
posted an update 25 days ago
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📢💾 Introducing the Common Crawl Creative Commons Corpus (C5)!

C5 is a large-scale effort to heavily filter web-crawled data, as collected by the non-profit Common Crawl, to only documents that are Creative Commons-licensed such as cc-by-4.0 or public domain cc0. At this stage 150 billion tokens have been collected.

---
📄 data: BramVanroy/CommonCrawl-CreativeCommons
🧰 software: https://github.com/BramVanroy/CommonCrawl-CreativeCommons
---

</> To build C5, HTML pages are scrutinized and all links (if any) to CC licenses are collected, both in regular hyperlinks as well as in metadata. Additional data fields are included such as "was the license found in the head?" or "if multiple licenses were found, do they contradict each other?", which makes further filtering a breeze.

🌐 In this first version of C5, 8 languages are included (Afrikaans, German, English, French, Frysian, Italian, Dutch and Spanish). The language set was limited for two reasons: computational and storage limitations, and a collaboration with GPT-NL, which requested CC data for these languages to train a Dutch-focused, copyright-conscious LLM. In total, this V1 release contains almost 150 thousand documents and 150 billion tokens. This data was not filtered on quality nor deduplicated so that you can decide for yourself how much data to keep. To give some quality indication, a dataset field is present to describe whether a document is included in the FineWeb(-2) datasets, which are of high quality.

🔍 More work needs to be done! Only 7 out of 100+ Common Crawl crawls have been processed so far. That's encouraging because it means there is a lot more Creative Commons data to be collected! But to get there I need help in terms of compute. The current processing was already heavily sponsored by the Flemish Supercomputer but more is needed. If you have the compute available and which to collaborate in an open and transparent manner, please get in touch!
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merve 
posted an update 27 days ago