arcflare_
[ lib ]// 97 models · 37 labs

Models.

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7 results · “embedding”

embeddinggemma-300m

Google

Embedding

300M-parameter open embedding model from Google, built from Gemma 3 and trained on 100+ languages; 768-dim output with Matryoshka truncation.

size
300M
vram
~2 GB
license
Gemma

8% of a 24 GB card

#embedding #small

qwen3-embedding

Alibaba Qwen

Embedding

Qwen3-Embedding: multilingual text and code embeddings at 0.6B, 4B and 8B, near the top of the MTEB leaderboard.

size
0.6B
vram
~1 GB
license
Apache-2.0

4% of a 24 GB card

#embedding #retrieval #multilingual

qwen3-embedding-4b

Qwen

Embedding

Qwen3 text embedding model with 4B parameters, 32K context, 100+ languages and embedding dimensions up to 2560 (user-defined sizes).

size
4B
vram
~6 GB
license
Apache-2.0

25% of a 24 GB card

#embedding #small

mxbai-embed-large

Mixedbread AI

Embedding

A state-of-the-art large embedding model for English retrieval and semantic search.

size
335M
vram
~2 GB
license
Apache-2.0

8% of a 24 GB card

#embedding #rag #search

nomic-embed-text-v2-moe

Nomic AI

Embedding

Multilingual mixture-of-experts text embedding model (475M total, 305M active) supporting about 100 languages with Matryoshka embeddings.

size
475M
vram
~2 GB
license
Apache-2.0

8% of a 24 GB card

#embedding #small

nomic-embed-text

Nomic AI

Embedding

English text embedding model with Matryoshka representation learning for resizable embeddings; requires task instruction prefixes.

size
137M
vram
~2 GB
license
Apache-2.0

8% of a 24 GB card

#embedding #small

bge-m3

BAAI

Embedding

Multi-functionality, multilingual (100+ languages) and multi-granularity embedding model handling inputs up to 8192 tokens.

size
568M
vram
~2 GB
license
MIT

8% of a 24 GB card

#embedding #small