WHAT’S NEW

New AI models.
Keep up without the noise.

The latest source listings from makers we track, covering language, images, video, audio, and 3D. Catalog checked Oct 28, 2026.

Sorted by the date a source repository was created, which may precede public release. This is a feed of new listings, not confirmed release announcements. Downloadable weights do not automatically mean an open-source license. Coverage and date meanings.

Embeddings listings

195 dated records

LightOn · Downloadable

mSlideOn-SAE

Embeddings

Turns content into numerical representations for semantic search and retrieval.

Source listed
Oct 13, 2026
Parameters
343.7M
4-bit weights only
≈ 0.2 GB
License
apache-2.0
Compare this model →

LightOn · Downloadable

SlideOn-SAE

Embeddings

Turns content into numerical representations for semantic search and retrieval.

Source listed
Oct 13, 2026
Parameters
199.4M
4-bit weights only
≈ 0.1 GB
License
apache-2.0
Compare this model →

LightOn · Downloadable

mSlideOn

Embeddings

Turns content into numerical representations for semantic search and retrieval.

Source listed
Oct 13, 2026
Parameters
339.4M
4-bit weights only
≈ 0.2 GB
License
apache-2.0
Compare this model →

LightOn · Downloadable

SlideOn

Embeddings

Turns content into numerical representations for semantic search and retrieval.

Source listed
Oct 12, 2026
Parameters
174.2M
4-bit weights only
≈ 0.1 GB
License
apache-2.0
Compare this model →

OpenBMB · Downloadable

Trident-Qwen3VL-2B

Embeddings

Turns content into numerical representations for semantic search and retrieval.

Source listed
Oct 12, 2026
Parameters
2B
4-bit weights only
≈ 1 GB
License
mit
Compare this model →

inclusionAI · Downloadable

LemonDecider

Embeddings

Turns content into numerical representations for semantic search and retrieval.

Source listed
Oct 5, 2026
Parameters
4.5B
4-bit weights only
≈ 2.3 GB
License
apache-2.0
Compare this model →

Meta · Downloadable

meta-encoder

VisionEmbeddings

Turns content into numerical representations for semantic search and retrieval.

Source listed
Sep 30, 2026
Parameters
29.8B
4-bit weights only
≈ 14.9 GB
License
apache-2.0
Compare this model →

Liquid AI · Downloadable

Liquid-Codec

Embeddings

Turns content into numerical representations for semantic search and retrieval.

Source listed
Sep 16, 2026
Parameters
73.6M
4-bit weights only
≈ 0 GB
License
other
Compare this model →

Google · Downloadable

embeddinggemma-2

VisionEmbeddings

Turns content into numerical representations for semantic search and retrieval.

Source listed
Sep 14, 2026
Parameters
744.4M
4-bit weights only
≈ 0.4 GB
License
apache-2.0
Compare this model →

M-A-P · Downloadable

SheetSage2

Embeddings

Turns content into numerical representations for semantic search and retrieval.

Source listed
Sep 9, 2026
Parameters
57.2M
4-bit weights only
≈ 0 GB
License
cc-by-nc-4.0
Compare this model →

M-A-P · Downloadable

YuE2-Vae-legacy

Embeddings

Turns content into numerical representations for semantic search and retrieval.

Source listed
Sep 9, 2026
Parameters
132.6M
4-bit weights only
≈ 0.1 GB
License
cc-by-nc-4.0
Compare this model →

M-A-P · Downloadable

YuE2-Vae

Embeddings

Turns content into numerical representations for semantic search and retrieval.

Source listed
Sep 9, 2026
Parameters
132.6M
4-bit weights only
≈ 0.1 GB
License
cc-by-nc-4.0
Compare this model →

M-A-P · Downloadable

MERT-v2-FullSong

Embeddings

Turns content into numerical representations for semantic search and retrieval.

Source listed
Sep 9, 2026
Parameters
632.4M
4-bit weights only
≈ 0.3 GB
License
cc-by-nc-4.0
Compare this model →

M-A-P · Downloadable

MERT-v2-30s

Embeddings

Turns content into numerical representations for semantic search and retrieval.

Source listed
Sep 9, 2026
Parameters
632.4M
4-bit weights only
≈ 0.3 GB
License
cc-by-nc-4.0
Compare this model →

Tencent · Downloadable

WeMM-Embedding-9B

VisionEmbeddings

Turns content into numerical representations for semantic search and retrieval.

Source listed
Aug 25, 2026
Parameters
9B
4-bit weights only
≈ 4.5 GB
License
other
Compare this model →

Tencent · Downloadable

WeMM-Embedding-4B

VisionEmbeddings

Turns content into numerical representations for semantic search and retrieval.

Source listed
Aug 25, 2026
Parameters
4B
4-bit weights only
≈ 2 GB
License
other
Compare this model →

Tencent · Downloadable

WeMM-Embedding-2B

VisionEmbeddings

Turns content into numerical representations for semantic search and retrieval.

Source listed
Aug 25, 2026
Parameters
2B
4-bit weights only
≈ 1 GB
License
other
Compare this model →

Microsoft · Downloadable

Mage-ViT

Video understandingEmbeddings

Turns content into numerical representations for semantic search and retrieval.

Source listed
Jul 26, 2026
Parameters
315.7M
4-bit weights only
≈ 0.2 GB
License
mit
Compare this model →

Perplexity · Downloadable

pplx-embed-v2-late-9b

Embeddings

Turns content into numerical representations for semantic search and retrieval.

Source listed
Jul 20, 2026
Parameters
9B
4-bit weights only
≈ 4.5 GB
License
mit
Compare this model →

Microsoft · Downloadable

bitnet-embedding-0.6b

Embeddings

Turns content into numerical representations for semantic search and retrieval.

Source listed
Jul 15, 2026
Parameters
600M
4-bit weights only
≈ 0.3 GB
License
mit
Compare this model →

Microsoft · Downloadable

bitnet-embedding-270m

Embeddings

Turns content into numerical representations for semantic search and retrieval.

Source listed
Jul 15, 2026
Parameters
270M
4-bit weights only
≈ 0.1 GB
License
mit
Compare this model →

NVIDIA · Downloadable

Nemotron-3-Embed-1B

Embeddings

Turns content into numerical representations for semantic search and retrieval.

Source listed
Jul 14, 2026
Parameters
1B
4-bit weights only
≈ 0.5 GB
License
other
Compare this model →

What makes this feed useful?

Capability tags distinguish a model that reads images from one that creates them. Each listing links to its source and a permanent profile, so you can inspect its license and compare it with a model you already know.

Does this cover every new release?

No. The current feed tracks public Hugging Face metadata from selected makers. It can miss untracked makers, cloud-only releases, and records beyond a source’s retrieval limit. Announced models without a source listing are not included. Check Sources & methodology for the current coverage.

Listings update with the catalog automatically. A missing or delayed source can leave older information visible; each model profile shows when it was checked.