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merveย 
posted an update 1 day ago
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1713
Oof, what a week! ๐Ÿฅต So many things have happened, let's recap! merve/jan-24-releases-6793d610774073328eac67a9

Multimodal ๐Ÿ’ฌ
- We have released SmolVLM -- tiniest VLMs that come in 256M and 500M, with it's retrieval models ColSmol for multimodal RAG ๐Ÿ’—
- UI-TARS are new models by ByteDance to unlock agentic GUI control ๐Ÿคฏ in 2B, 7B and 72B
- Alibaba DAMO lab released VideoLlama3, new video LMs that come in 2B and 7B
- MiniMaxAI released Minimax-VL-01, where decoder is based on MiniMax-Text-01 456B MoE model with long context
- Dataset: Yale released a new benchmark called MMVU
- Dataset: CAIS released Humanity's Last Exam (HLE) a new challenging MM benchmark

LLMs ๐Ÿ“–
- DeepSeek-R1 & DeepSeek-R1-Zero: gigantic 660B reasoning models by DeepSeek, and six distilled dense models, on par with o1 with MIT license! ๐Ÿคฏ
- Qwen2.5-Math-PRM: new math models by Qwen in 7B and 72B
- NVIDIA released AceMath and AceInstruct, new family of models and their datasets (SFT and reward ones too!)

Audio ๐Ÿ—ฃ๏ธ
- Llasa is a new speech synthesis model based on Llama that comes in 1B,3B, and 8B
- TangoFlux is a new audio generation model trained from scratch and aligned with CRPO

Image/Video/3D Generation โฏ๏ธ
- Flex.1-alpha is a new 8B pre-trained diffusion model by ostris similar to Flux
- tencent released Hunyuan3D-2, new 3D asset generation from images
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merveย 
posted an update 1 day ago
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743
smolagents can see ๐Ÿ”ฅ
we just shipped vision support to smolagents ๐Ÿค— agentic computers FTW

you can now:
๐Ÿ’ป let the agent get images dynamically (e.g. agentic web browser)
๐Ÿ“‘ pass images at the init of the agent (e.g. chatting with documents, filling forms automatically etc)
with few LoC change! ๐Ÿคฏ
you can use transformers models locally (like Qwen2VL) OR plug-in your favorite multimodal inference provider (gpt-4o, antrophic & co) ๐Ÿค 

read our blog http://hf.co/blog/smolagents-can-see
merveย 
posted an update 8 days ago
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2492
Everything that happened this week in open AI, a recap ๐Ÿค  merve/jan-17-releases-678a673a9de4a4675f215bf5

๐Ÿ‘€ Multimodal
- MiniCPM-o 2.6 is a new sota any-to-any model by OpenBMB
(vision, speech and text!)
- VideoChat-Flash-Qwen2.5-2B is new video multimodal models by OpenGVLab that come in sizes 2B & 7B in resolutions 224 & 448
- ByteDance released larger SA2VA that comes in 26B parameters
- Dataset: VRC-Bench is a new diverse benchmark for multimodal LLM reasoning performance

๐Ÿ’ฌ LLMs
- MiniMax-Text-01 is a new huge language model (456B passive 45.9B active params) by MiniMaxAI with context length of 4M tokens ๐Ÿคฏ
- Dataset: Sky-T1-data-17k is a diverse dataset used to train Sky-T1-32B
- kyutai released Helium-1-Preview-2B is a new small multilingual LM
- Wayfarer-12B is a new LLM able to write D&D ๐Ÿง™๐Ÿปโ€โ™‚๏ธ
- ReaderLM-v2 is a new HTML parsing model by Jina AI

- Dria released, Dria-Agent-a-3B, new agentic coding model (Pythonic function calling) based on Qwen2.5 Coder
- Unsloth released Phi-4, faster and memory efficient Llama 3.3

๐Ÿ–ผ๏ธ Vision
- MatchAnything is a new foundation model for matching
- FitDit is a high-fidelity VTON model based on DiT architecture

๐Ÿ—ฃ๏ธ Audio
- OuteTTS-0.3-1B is a new multilingual text-to-speech model with voice cloning and emotion control capabilities

๐Ÿ“– Retrieval
- lightblue released a new reranker based on Qwen2.5 LB-reranker-0.5B-v1.0 that can handle 95+ languages
- cde-small-v2 is a new sota small retrieval model by
@jxm
merveย 
posted an update 9 days ago
Xenovaย 
posted an update 9 days ago
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3092
Introducing Kokoro.js, a new JavaScript library for running Kokoro TTS, an 82 million parameter text-to-speech model, 100% locally in the browser w/ WASM. Powered by ๐Ÿค— Transformers.js. WebGPU support coming soon!
๐Ÿ‘‰ npm i kokoro-js ๐Ÿ‘ˆ

Try it out yourself: webml-community/kokoro-web
Link to models/samples: onnx-community/Kokoro-82M-ONNX

You can get started in just a few lines of code!
import { KokoroTTS } from "kokoro-js";

const tts = await KokoroTTS.from_pretrained(
  "onnx-community/Kokoro-82M-ONNX",
  { dtype: "q8" }, // fp32, fp16, q8, q4, q4f16
);

const text = "Life is like a box of chocolates. You never know what you're gonna get.";
const audio = await tts.generate(text,
  { voice: "af_sky" }, // See `tts.list_voices()`
);
audio.save("audio.wav");

Huge kudos to the Kokoro TTS community, especially taylorchu for the ONNX exports and Hexgrad for the amazing project! None of this would be possible without you all! ๐Ÿค—

The model is also extremely resilient to quantization. The smallest variant is only 86 MB in size (down from the original 326 MB), with no noticeable difference in audio quality! ๐Ÿคฏ
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nielsrย 

histiry -> history

1
#45 opened 12 days ago by
yahya007
merveย 
posted an update 13 days ago
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3839
there's a new multimodal retrieval model in town ๐Ÿค 
LlamaIndex released vdr-2b-multi-v1
> uses 70% less image tokens, yet outperforming other dse-qwen2 based models
> 3x faster inference with less VRAM ๐Ÿ’จ
> shrinkable with matryoshka ๐Ÿช†
> can do cross-lingual retrieval!
Collection: llamaindex/visual-document-retrieval-678151d19d2758f78ce910e1 (with models and datasets)
Demo: llamaindex/multimodal_vdr_demo
Learn more from their blog post here https://huggingface.co/blog/vdr-2b-multilingual ๐Ÿ“–
merveย 
posted an update 15 days ago
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3592
What a beginning to this year in open ML ๐Ÿค 
Let's unwrap! merve/jan-10-releases-677fe34177759de0edfc9714

Multimodal ๐Ÿ–ผ๏ธ
> ByteDance released SA2VA: a family of vision LMs that can take image, video, text and visual prompts
> moondream2 is out with new capabilities like outputting structured data and gaze detection!
> Dataset: Alibaba DAMO lab released multimodal textbook โ€” 22k hours worth of samples from instruction videos ๐Ÿคฏ
> Dataset: SciCap captioning on scientific documents benchmark dataset is released along with the challenge!

LLMs ๐Ÿ’ฌ
> Microsoft released Phi-4, sota open-source 14B language model ๐Ÿ”ฅ
> Dolphin is back with Dolphin 3.0 Llama 3.1 8B ๐Ÿฌ๐Ÿฌ
> Prime-RL released Eurus-2-7B-PRIME a new language model trained using PRIME alignment
> SmallThinker-3B is a new small reasoning LM based on Owen2.5-3B-Instruct ๐Ÿ’ญ
> Dataset: QWQ-LONGCOT-500K is the dataset used to train SmallThinker, generated using QwQ-32B-preview ๐Ÿ“•
> Dataset: @cfahlgren1 released React Code Instructions: a dataset of code instruction-code pairs ๐Ÿ“•
> Dataset: Qwen team is on the roll, they just released CodeElo, a dataset of code preferences ๐Ÿ‘ฉ๐Ÿปโ€๐Ÿ’ป

Embeddings ๐Ÿ”–
> @MoritzLaurer released zero-shot version of ModernBERT large ๐Ÿ‘
> KaLM is a new family of performant multilingual embedding models with MIT license built using Qwen2-0.5B

Image/Video Generation โฏ๏ธ
> NVIDIA released Cosmos, a new family of diffusion/autoregressive World Foundation Models generating worlds from images, videos and texts ๐Ÿ”ฅ
> Adobe released TransPixar: a new text-to-video model that can generate assets with transparent backgrounds (a first!)
> Dataset: fal released cosmos-openvid-1m Cosmos-tokenized OpenVid-1M with samples from OpenVid-1M

Others
> Prior Labs released TabPFNv2, the best tabular transformer is out for classification and regression
> Metagene-1 is a new RNA language model that can be used for pathogen detection, zero-shot embedding and genome understanding
merveย 
posted an update 17 days ago
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1786
ByteDance just dropped SA2VA: a new family of vision LMs combining Qwen2VL/InternVL and SAM2 with MIT license ๐Ÿ’— ByteDance/sa2va-model-zoo-677e3084d71b5f108d00e093

> The models are capable of tasks involving vision-language understanding and visual referrals (referring segmentation) both for images and videos โฏ๏ธ

> The models come in 1B, 4B and 8B and are based on InternVL2.5 for base architecture and Qwen2, Qwen2.5 and InternLM2 for language model part (depending on the checkpoint)

> The model is very interesting, it has different encoders for different modalities each (visual prompt, text prompt, image and video) then it concatenates these to feed into LLM ๐Ÿ’ฌ

the output segmentation tokens are passed to SAM2, to sort of match text (captions or semantic classes) to masks โคต๏ธ

> Their annotation pipeline is also interesting, they seems to use two open large vision LMs to refine the annotations, and have different levels of descriptions to provide consistency.
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