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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

answerai-colbert-small-v1

Embeddings

Turns content into numerical representations for semantic search and retrieval.

Source listed: Jun 30, 2025
Parameters: 33.4M
4-bit weights only: ≈ 0 GB
License: Not disclosed

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Microsoft · Downloadable

maira-2-sae

Embeddings

Turns content into numerical representations for semantic search and retrieval.

Source listed: Jun 25, 2025
Parameters: Not reported
4-bit weights only: Not reported
License: mit

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Microsoft · Downloadable

latent-zoning-networks

Capabilities unconfirmed

Turns content into numerical representations for semantic search and retrieval.

Source listed: Jun 24, 2025
Parameters: Not reported
4-bit weights only: Not reported
License: mit

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Qwen · Alibaba · Downloadable

Qwen3-Embedding-8B

Embeddings

Turns content into numerical representations for semantic search and retrieval.

Source listed: Jun 3, 2025
Parameters: 8B
4-bit weights only: ≈ 4 GB
License: apache-2.0

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Qwen · Alibaba · Downloadable

Qwen3-Embedding-4B

Embeddings

Turns content into numerical representations for semantic search and retrieval.

Source listed: Jun 3, 2025
Parameters: 4B
4-bit weights only: ≈ 2 GB
License: apache-2.0

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Qwen · Alibaba · Downloadable

Qwen3-Embedding-0.6B

Embeddings

Turns content into numerical representations for semantic search and retrieval.

Source listed: Jun 3, 2025
Parameters: 600M
4-bit weights only: ≈ 0.3 GB
License: apache-2.0

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LightOn · Downloadable

Reason-ModernColBERT

Embeddings

Turns content into numerical representations for semantic search and retrieval.

Source listed: May 22, 2025
Parameters: 149M
4-bit weights only: ≈ 0.1 GB
License: cc-by-nc-4.0

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BAAI · Downloadable

BGE-VL-v1.5-mmeb

Embeddings

Turns content into numerical representations for semantic search and retrieval.

Source listed: May 16, 2025
Parameters: 7.6B
4-bit weights only: ≈ 3.8 GB
License: mit

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BAAI · Downloadable

BGE-VL-Screenshot

Embeddings

Turns content into numerical representations for semantic search and retrieval.

Source listed: May 16, 2025
Parameters: 3.8B
4-bit weights only: ≈ 1.9 GB
License: mit

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BAAI · Downloadable

bge-code-v1

Embeddings

Turns content into numerical representations for semantic search and retrieval.

Source listed: May 15, 2025
Parameters: 1.5B
4-bit weights only: ≈ 0.8 GB
License: apache-2.0

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BAAI · Downloadable

BGE-VL-v1.5-zs

Embeddings

Turns content into numerical representations for semantic search and retrieval.

Source listed: May 15, 2025
Parameters: 7.6B
4-bit weights only: ≈ 3.8 GB
License: mit

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LightOn · Downloadable

GTE-ModernColBERT-v1

Embeddings

Turns content into numerical representations for semantic search and retrieval.

Source listed: Apr 30, 2025
Parameters: 149M
4-bit weights only: ≈ 0.1 GB
License: apache-2.0

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Moonshot AI · Downloadable

MoonViT-SO-400M

Capabilities unconfirmed

Turns content into numerical representations for semantic search and retrieval.

Source listed: Apr 10, 2025
Parameters: 400M
4-bit weights only: ≈ 0.2 GB
License: mit

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Google · Downloadable

hear-pytorch

Capabilities unconfirmed

Turns content into numerical representations for semantic search and retrieval.

Source listed: Apr 8, 2025
Parameters: Not reported
4-bit weights only: Not reported
License: other

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BAAI · Downloadable

BGE-VL-MLLM-S2

Embeddings

Turns content into numerical representations for semantic search and retrieval.

Source listed: Mar 4, 2025
Parameters: 7.6B
4-bit weights only: ≈ 3.8 GB
License: mit

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BAAI · Downloadable

BGE-VL-MLLM-S1

Embeddings

Turns content into numerical representations for semantic search and retrieval.

Source listed: Mar 4, 2025
Parameters: 7.6B
4-bit weights only: ≈ 3.8 GB
License: mit

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BAAI · Downloadable

BGE-VL-large

Embeddings

Turns content into numerical representations for semantic search and retrieval.

Source listed: Feb 25, 2025
Parameters: 427.6M
4-bit weights only: ≈ 0.2 GB
License: mit

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BAAI · Downloadable

BGE-VL-base

Embeddings

Turns content into numerical representations for semantic search and retrieval.

Source listed: Feb 25, 2025
Parameters: 149.6M
4-bit weights only: ≈ 0.1 GB
License: mit

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OpenBMB · Downloadable

MiniCPM-Embedding-Light

Embeddings

Turns content into numerical representations for semantic search and retrieval.

Source listed: Jan 17, 2025
Parameters: 433.9M
4-bit weights only: ≈ 0.2 GB
License: Not disclosed

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LightOn · Downloadable

modernbert-embed-large-unsupervised

Embeddings

Turns content into numerical representations for semantic search and retrieval.

Source listed: Jan 13, 2025
Parameters: 394.8M
4-bit weights only: ≈ 0.2 GB
License: apache-2.0

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LightOn · Downloadable

modernbert-embed-large

Embeddings

Turns content into numerical representations for semantic search and retrieval.

Source listed: Jan 13, 2025
Parameters: 394.8M
4-bit weights only: ≈ 0.2 GB
License: apache-2.0

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OpenBMB · Downloadable

VisRAG-Ret

Embeddings

Turns content into numerical representations for semantic search and retrieval.

Source listed: Oct 14, 2024
Parameters: 3.4B
4-bit weights only: ≈ 1.7 GB
License: apache-2.0

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BAAI · Downloadable

Emu3-VisionTokenizer

Embeddings

Turns content into numerical representations for semantic search and retrieval.

Source listed: Sep 25, 2024
Parameters: 270.7M
4-bit weights only: ≈ 0.1 GB
License: apache-2.0

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Kyutai · Downloadable

mimi

Embeddings

Turns content into numerical representations for semantic search and retrieval.

Source listed: Sep 10, 2024
Parameters: 96.2M
4-bit weights only: ≈ 0 GB
License: cc-by-4.0

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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.