arcflare_
Embedding4B official

qwen3-embedding-4b

by Qwen

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

#embedding#small
arcflare pull Qwen/Qwen3-Embedding-4B-GGUF:Q8_0

[ 01 ] // quickstart

┌─ arcflare — zsh // tty1
$ 

[ 02 ] // readme

qwen3-embedding-4b

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

Get it

arcflare pull Qwen/Qwen3-Embedding-4B-GGUF:Q8_0
arcflare run qwen3-embedding-4b

ArcFlare reads the GGUF header and loads it at the largest context your free VRAM can actually hold. Use arcflare fit to see that before downloading anything else, or arcflare use opencode to code with it.

Highlights

  • Downloads the Q8_0 file by default: 4.3 GB. Also published: Q4_K_M (2.5 GB), Q6_K (3.3 GB), f16 (8 GB)
  • Trained for a 32K context
  • Licence: Apache-2.0. Read it before commercial use

Sizes

  • 4b · 4.3GB

Other sizes live in sibling repos: swap the size in the repo name when pulling.

[ 03 ] // relatedmore →

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#embedding #small