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Qwen3 Embedding 0.6B by Qwen

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Qwen3 Embedding 0.6B is an open-source language model by Qwen. Features: 0.6b LLM, VRAM: 1.2GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.46.

  Arxiv:2506.05176 Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-0.6b-bas...   Deploy:azure   Endpoints compatible   Feature-extraction   Qwen3   Region:us   Safetensors   Sentence-similarity   Sentence-transformers   Text-embeddings-inference
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen3-Embedding-0.6B 

Qwen3 Embedding 0.6B Benchmarks

LLME Score: 0.46001
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 Embedding 0.6B (Qwen/Qwen3-Embedding-0.6B)
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Qwen3 Embedding 0.6B Parameters and Internals

LLM NameQwen3 Embedding 0.6B
Repository 🤗https://huggingface.co/Qwen/Qwen3-Embedding-0.6B 
Base Model(s)  Qwen/Qwen3-0.6B-Base   Qwen/Qwen3-0.6B-Base
Model Size0.6b
Required VRAM1.2 GB
Updated2026-03-15
MaintainerQwen
Model Typeqwen3
Model Files  1.2 GB
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.51.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151669
Torch Data Typebfloat16
Errorsreplace

Quantized Models of the Qwen3 Embedding 0.6B

Model
Likes
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VRAM
Qwen3 Embedding 0.6B 4bit DWQ217790 GB

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Rank the Qwen3 Embedding 0.6B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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