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Qwen 3 Embedding 4B
◆ OPEN
by Alibaba
OPEN WEIGHTSLOCALAPICLOSED
RANKED #245 OF 282 ASSISTANTS · OVERALL #385 OF 6,634 · VIBE SCORE 5.3 · 26 VOICES
Embedding model for semantic search, retrieval, clustering, and ranking pipelines
HAPPY8.1
3 mentions
SAD6.9
2 mentions
VIBE TRAJECTORY
26 weeks · 23 voices
TOO QUIET
Not enough weekly voices to call a trend yet.
HOW TO USE IT
Open weights. You can use a hosted service, or download it and run it yourself, free.
WHAT THE INTERNET SAYS
Not enough discussion about Qwen 3 Embedding 4B yet to call it. We found 26 posts but people did not say much either way.
24 POSTS · 2 COMMENTS · GITHUB · REDDIT · DEV FORUMS
PEOPLE LOVE
- No fan mail yet. The crowd is still warming up.
PEOPLE COMPLAIN ABOUT
- No complaints yet. The internet is still looking for one. Suspicious.
LOOKING FOR AN ALTERNATIVE?
Other models the crowd has fully reviewed, starting with text models like this one.
DeepSeek V4 Flash> SOURCES (12)
- REDDIT · 2026-07-09 · 179 UPVOTESIf You Already Pay for an LLM Service, Running Local Embeddings and Rerankers Feels More Useful Than Running Local LLMs
If You Already Pay for an LLM Service, Running Local Embeddings and Rerankers Feels More Useful Than Running Local LLMs
- REDDIT · 2026-01-22 · 103 UPVOTESFine-tuning Embedding models in Unsloth!
Fine-tuning Embedding models in Unsloth!
- REDDIT · 2026-04-15 · 31 UPVOTESEvaluating 16 embedding models, 7 rerankers, with all 128 combinations.
Evaluating 16 embedding models, 7 rerankers, with all 128 combinations.
- REDDIT · 2026-03-16 · 29 UPVOTESChetna: A memory layer for AI agents.
Chetna: A memory layer for AI agents.
- REDDIT · 2026-03-14 · 25 UPVOTESChetna - A human brain mimicking memory system for AI agents.
Chetna - A human brain mimicking memory system for AI agents.
- REDDIT · 2026-08-06 · 11 UPVOTESCodeNib for codebase RAG: what we measured across 100 repos — HNSW, rerankers, and GraphRAG
CodeNib for codebase RAG: what we measured across 100 repos — HNSW, rerankers, and GraphRAG
- REDDIT · 2025-09-04 · 8 UPVOTESConfusion with embedding models
Confusion with embedding models
- REDDIT · 2026-04-15 · 8 UPVOTESEvaluating 16 embedding models, 7 rerankers, with all 128 combinations.
Evaluating 16 embedding models, 7 rerankers, with all 128 combinations.
- REDDIT · 2026-07-31 · 8 UPVOTESBuilt a local RAG stack for our wiki that will read and write for users - M2 Ultra 128GB
Built a local RAG stack for our wiki that will read and write for users - M2 Ultra 128GB
- REDDIT · 2025-07-06 · 3 UPVOTESLocal Embedding and Reranking
Local Embedding and Reranking
- GITHUB · 2026-08-12 · 0 UPVOTES[RETRIEVAL:EVAL] Qwen 4B + text reranker and VL-2B + multimodal reranker architecture
[RETRIEVAL:EVAL] Qwen 4B + text reranker and VL-2B + multimodal reranker architecture
- GITHUB · 2026-09-09 · 0 UPVOTESfeat(llm): move embedding from CPU to GPU spread, remove llama-cpp-embed
feat(llm): move embedding from CPU to GPU spread, remove llama-cpp-embed