AIArchiveInfo/Qwen3-Embedding-0.6B

feature-extraction model by AIArchiveInfo

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The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks. Building upon the dense foundational models of the Qwen3 series, it provides a comprehensive range of text embeddings and reranking models in various sizes (0.6B, 4B, and 8B). This series inherits the exceptional multilingual capabilities, long-text understanding, and reasoning skills of its foundational model. The Qwen3 Embedding series represents significant advancements in multiple text embedding and ranking tasks, including text retrieval, code retrieval, text classification, text clustering, and bitext mining. Exceptional Versatility: The embedding model has achieved state-of-the-art performance across a wide range of downstream application evaluations. The 8B size embedding model ranks No.1 in the MTEB multilingual leaderboard (as of June 5, 2025, score 70.58), while the reranking model excels in various text retrieval scenarios. Comprehensive Flexibility: The Qwen3 Embedding series offers a full spectrum of sizes…

AIArchiveInfo/Qwen3-Embedding-0.6B on Hugging Face A short preview, not the full document.

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Inside the original model card — Document outline
  1. Qwen3-Embedding-0.6B
  2. Highlights
  3. Model Overview
  4. Qwen3 Embedding Series Model list
  5. Usage
  6. Sentence Transformers Usage
  7. Transformers Usage
  8. vLLM Usage
  9. Text Embeddings Inference (TEI) Usage
  10. Evaluation
  11. MTEB (Multilingual)
  12. MTEB (Eng v2)

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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

Model overview

AIArchiveInfo/Qwen3-Embedding-0.6B is a feature-extraction model repository published by AIArchiveInfo on Hugging Face. The source reports the sentence-transformers library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
feature-extraction
Library
sentence-transformers
Recent downloads (30 days)
0
Cumulative likes
0
Hugging Face trending score
0
Reported safetensors parameters
595,776,512
Architecture
Qwen3ForCausalLM
License
apache-2.0
Access
Not gated by Hugging Face
Created
2026-09-21T06:28:23.000Z
Last modified
2026-09-21T06:28:25.000Z

Compatibility and lineage

Language coverage was not reported.

Reported base models: Qwen/Qwen3-0.6B-Base

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Source: Hugging Face Hub. Metadata observed 2026-09-21T06:36:48.800Z. Daily imports are snapshots, not real-time monitoring.

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