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lewtun  authored a paper 23 days ago
Kimina-Prover Preview: Towards Large Formal Reasoning Models with Reinforcement Learning
lewtun  authored a paper about 2 months ago
SmolVLM: Redefining small and efficient multimodal models
lewtun  authored a paper 3 months ago
Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning
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hf-maintainers's activity

merve 
posted an update about 9 hours ago
merve 
posted an update 1 day ago
merve 
posted an update 2 days ago
merve 
posted an update 4 days ago
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1900
HOT: MiMo-VL new 7B vision LMs by Xiaomi surpassing gpt-4o (Mar), competitive in GUI agentic + reasoning tasks ❤️‍🔥 XiaomiMiMo/mimo-vl-68382ccacc7c2875500cd212

not only that, but also MIT license & usable with transformers 🔥
merve 
posted an update 5 days ago
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2652
introducing: VLM vibe eval 🪭 visionLMsftw/VLMVibeEval

vision LMs are saturated over benchmarks, so we built vibe eval 💬

> compare different models with refreshed in-the-wild examples in different categories 🤠
> submit your favorite model for eval
no numbers -- just vibes!
merve 
posted an update 7 days ago
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2517
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 https://huggingface.co/collections/merve/any-to-any-models-6822042ee8eb7fb5e38f9b62
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merve 
posted an update 8 days ago
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3097
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
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merve 
posted an update 12 days ago
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2573
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 12 days ago
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3085
Bu post'u çevirebilirsiniz 🤗💗
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merve 
posted an update 12 days ago
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2367
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 😱
merve 
posted an update 14 days ago
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1712
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 15 days ago
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2572
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 19 days ago
merve 
posted an update 22 days ago
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5021
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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lewtun 
authored a paper 23 days ago
merve 
posted an update 28 days ago
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5063
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 29 days ago
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6570
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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merve 
posted an update about 1 month ago
merve 
posted an update about 1 month ago
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2645
Meta released Llama Guard 4 and new Prompt Guard 2 models 🔥

Llama Guard 4 is a new model to filter model inputs/outputs both text-only and image 🛡️ use it before and after LLMs/VLMs! meta-llama/Llama-Guard-4-12B

Prompt Guard 2 22M & 86M are smol models to prevent model jailbreaks and prompt injections ⚔ meta-llama/Llama-Prompt-Guard-2-22M meta-llama/Llama-Guard-4-12B
Both come with new release of transformers 🤗

Try the model right away 👉🏻https://github.com/huggingface/huggingface-llama-recipes/blob/main/llama_guard_4.ipynb

Read our blog to learn more and easily get started 👉🏻 https://huggingface.co/blog/llama-guard-4 🦙
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julien-c 
posted an update about 1 month ago
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4692
BOOOOM: Today I'm dropping TINY AGENTS

the 50 lines of code Agent in Javascript 🔥

I spent the last few weeks working on this, so I hope you will like it.

I've been diving into MCP (Model Context Protocol) to understand what the hype was all about.

It is fairly simple, but still quite powerful: MCP is a standard API to expose sets of Tools that can be hooked to LLMs.

But while doing that, came my second realization:

Once you have a MCP Client, an Agent is literally just a while loop on top of it. 🤯

➡️ read it exclusively on the official HF blog: https://huggingface.co/blog/tiny-agents
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