Model reference · open weights

Qwen3-Reranker

Qwen3-Reranker is an open-weight embedding model from mlx-community, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.

Embeddings mlx-community 1 variants 1k downloads/mo
Request this model on EU hardware All served models Not on the shared API today — deployed on request.

About

What Qwen3-Reranker is

mlx-community/Qwen3-Reranker-0.6B-4bit This model was converted to MLX format from Qwen/Qwen3-Reranker-0.6B using mlx-lm 0.31.3. - Quantization: affine 4-bit, groupsize=64 (~4.5 bits/weight) - On-disk size: ~331 MB - Task: text reranking (cross-encoder, yes/no relevance scoring) Scoring recipe Qwen3-Reranker is a causal LM used as a reranker: the relevance score of a (query, document) pair is softmax([logit("no"), logit("yes")])[1] at the last position of the prompt below.

Summarised from the published model card. Read the full card on the HuggingFace links below.

Specifications

What it is

Makermlx-community
TypeEmbedding models
Parameters (lead)93M
Context40k tokens
Variants1
Runs withmlx
Based onQwen/Qwen3-Reranker-0.6B
Released2026-06-06
Popularity1k downloads / month
Likes2
LicenceOpen weights

How it works

How embedding models work

Your textsentence / documentEncodermaps meaningVectorlist of numbersAn embedding model turns text into a vector, so similar meanings sit close together — the basis of search and RAG.

Variants

Sizes & precisions

Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.

VariantParamsPrecisionVRAMFits 16 GBWeights
Qwen3-Reranker-0.6B-4bit93MBF16~0.2 GBWeights ↗

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys mlx-community-qwen3-reranker for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (mlx-community-qwen3-reranker below is illustrative; you get the exact model name on deployment.)

$ curl -sS https://api.axforge.ai/v1/embeddings \
  -H "Authorization: Bearer $AXFORGE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"mlx-community-qwen3-reranker","input":"text to embed"}'

Details

Languages, data & research

Tags

mlx safetensors qwen3 sentence-transformers text-ranking reranker 4-bit

Licence

Open weights

Open weights under apache-2.0 — commercial use is permitted. Deploy it on AxForge EU hardware on request. Read the licence ↗

Sources

Weights & code

Want Qwen3-Reranker on EU-owned hardware?

Request this model on EU hardware See what’s served now

Explore

More embedding models

© 2026 AxForge · EU-hosted AI infrastructure Pricing Docs Trust Privacy Terms