What are the hardware requirements for Qwen3 Embedding 0.6B 4bit DWQ?

Qwen3 Embedding 0.6B 4bit DWQ requires approximately 0.3 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 Embedding 0.6B 4bit DWQ and how large is it?

Qwen3 Embedding 0.6B 4bit DWQ is developed by mlx-community, a model with 0.6b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Qwen3 Embedding 0.6B 4bit DWQ?

Qwen3 Embedding 0.6B 4bit DWQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 Embedding 0.6B 4bit DWQ by mlx-community — VRAM 0.3GB, 32K context

Name: Qwen3 Embedding 0.6B 4bit DWQ
Author: mlx-community

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: 0.23.

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 Parameters and Internals

LLM Name	Qwen3 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 Size	0.6b
Required VRAM	0.3 GB
Updated	2026-08-08
Maintainer	mlx-community
Model Type	qwen3
Model Files	0.3 GB
Quantization Type	4bit
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.51.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151669
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen3 Embedding 0.6B 4bit DWQ 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

Best Alternatives to Qwen3 Embedding 0.6B 4bit DWQ

Best Alternatives	Context / RAM	Downloads	Likes
Agent 0.6B	125K / 1.2 GB	14	0
Fizik 0.6B Preview	40K / 1.2 GB	9	0
Qwen3 0.6B Unsloth Bnb 4bit	40K / 0.6 GB	146920	25
Qwen3 0.6B 4bit	40K / 0.3 GB	50315	14
Qwentestnew1	40K / 1.2 GB	66	0
Qwen3 0.6B 8bit	40K / 0.6 GB	41318	7
Qwen3 0.6B SFTchat Math	40K / 1.2 GB	15	0
Meet7 0.6B	40K / 1.2 GB	10	1
...d Qwen3 0.6B Gabliterated 4bit	40K / 0.3 GB	24	1
Qwen3 0.6B Gabliterated 4bit	40K / 0.3 GB	6	1

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