Qwen3 4B Instruct 2507 4bit DWQ 2510 by mlx-community

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Qwen3 4B Instruct 2507 4bit DWQ 2510 is an open-source language model by mlx-community. Features: 4b LLM, VRAM: 2.3GB, Context: 256K, License: apache-2.0, Quantized, Instruction-Based.

  4-bit   4bit Base model:quantized:qwen/qwen... Base model:qwen/qwen3-4b-instr...   Conversational   Instruct   Mlx   Quantized   Qwen3   Region:us   Safetensors

Qwen3 4B Instruct 2507 4bit DWQ 2510 Parameters and Internals

LLM NameQwen3 4B Instruct 2507 4bit DWQ 2510
Repository ๐Ÿค—https://huggingface.co/mlx-community/Qwen3-4B-Instruct-2507-4bit-DWQ-2510 
Base Model(s)  Qwen3 4B Instruct 2507   Qwen/Qwen3-4B-Instruct-2507
Model Size4b
Required VRAM2.3 GB
Updated2026-03-28
Maintainermlx-community
Model Typeqwen3
Instruction-BasedYes
Model Files  2.3 GB
Quantization Type4bit
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version4.51.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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...wen3 4B Instruct 2507 Bnb 4bit256K / 2.6 GB60914
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...wen3 4B Instruct 2507 Sft Full256K / 8.1 GB50
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... Instruct F16 6B Brainstorm20x40K / 11.9 GB100
Qwen3 4B Instruct 2507256K / 8.1 GB1473674320
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Qwen3-4B-Instruct-2507-4bit-DWQ-2510.

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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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Release v20260328a