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Qwen3 Embedding 0.6B 4bit DWQ by mlx-community

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Qwen3 Embedding 0.6B 4bit DWQ is an open-source language model by mlx-community. Features: 0.6b LLM, VRAM: 0.3GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.26.

  4-bit   4bit Base model:quantized:qwen/qwen... Base model:qwen/qwen3-embeddin...   Conversational   Endpoints compatible   Feature-extraction   Mlx   Quantized   Qwen3   Region:us   Safetensors   Sentence-similarity   Sentence-transformers
Model Card on HF 🤗: https://huggingface.co/mlx-community/Qwen3-Embedding-0.6B-4bit-DWQ 

Qwen3 Embedding 0.6B 4bit DWQ Benchmarks

LLME Score: 0.2587
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 4bit DWQ (mlx-community/Qwen3-Embedding-0.6B-4bit-DWQ)
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Qwen3 Embedding 0.6B 4bit DWQ Parameters and Internals

LLM NameQwen3 Embedding 0.6B 4bit DWQ
Repository 🤗https://huggingface.co/mlx-community/Qwen3-Embedding-0.6B-4bit-DWQ 
Base Model(s)  Qwen/Qwen3-Embedding-0.6B   Qwen/Qwen3-Embedding-0.6B
Model Size0.6b
Required VRAM0.3 GB
Updated2026-05-17
Maintainermlx-community
Model Typeqwen3
Model Files  0.3 GB
Quantization Type4bit
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

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Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Qwen3-Embedding-0.6B-4bit-DWQ.

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