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Qwen3 4B Thinking 2507 MLX 4bit by lmstudio-community

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Qwen3 4B Thinking 2507 MLX 4bit is an open-source language model by lmstudio-community. Features: 4b LLM, VRAM: 2.3GB, Context: 256K, License: apache-2.0, Quantized, LLM Explorer Score: 0.28.

  4-bit   4bit Base model:quantized:qwen/qwen... Base model:qwen/qwen3-4b-think...   Conversational   Endpoints compatible   Mlx   Quantized   Qwen3   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/lmstudio-community/Qwen3-4B-Thinking-2507-MLX-4bit 

Qwen3 4B Thinking 2507 MLX 4bit Benchmarks

LLME Score: 0.27633
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 4B Thinking 2507 MLX 4bit (lmstudio-community/Qwen3-4B-Thinking-2507-MLX-4bit)
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Qwen3 4B Thinking 2507 MLX 4bit Parameters and Internals

LLM NameQwen3 4B Thinking 2507 MLX 4bit
Repository 🤗https://huggingface.co/lmstudio-community/Qwen3-4B-Thinking-2507-MLX-4bit 
Base Model(s)  Qwen3 4B Thinking 2507   Qwen/Qwen3-4B-Thinking-2507
Model Size4b
Required VRAM2.3 GB
Updated2026-05-30
Maintainerlmstudio-community
Model Typeqwen3
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

Best Alternatives to Qwen3 4B Thinking 2507 MLX 4bit

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...Instruct 2507 Unsloth Bnb 4bit256K / 3.5 GB15596214
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Qwen3 4B INST Code256K / 8.1 GB1120
...wen3 4B Thinking 2507 MLX 8bit256K / 4.3 GB593938
Qwen Finetune 4bit256K / 8.1 GB610
Agent 4b256K / 8.1 GB1630
Qwen3 4B ARC MLX 4bit256K / 2 GB2802
...Instruct Haiku 4.5 Merged FP16256K / 8.1 GB421
Qwen3 4B Instruct 2507 4bit256K / 2.3 GB161639
Qwen3 4B Finetune Merged 4bit256K / 3.5 GB210
Note: green Score (e.g. "73.2") means that the model is better than lmstudio-community/Qwen3-4B-Thinking-2507-MLX-4bit.

Rank the Qwen3 4B Thinking 2507 MLX 4bit 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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