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Qwen3 30B A3B Instruct 2507 MLX 4bit by lmstudio-community

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Model Card on HF 🤗: https://huggingface.co/lmstudio-community/Qwen3-30B-A3B-Instruct-2507-MLX-4bit 

Qwen3 30B A3B Instruct 2507 MLX 4bit Benchmarks

LLME Score: 0.4278
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 30B A3B Instruct 2507 MLX 4bit (lmstudio-community/Qwen3-30B-A3B-Instruct-2507-MLX-4bit)
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Qwen3 30B A3B Instruct 2507 MLX 4bit Parameters and Internals

LLM NameQwen3 30B A3B Instruct 2507 MLX 4bit
Repository 🤗https://huggingface.co/lmstudio-community/Qwen3-30B-A3B-Instruct-2507-MLX-4bit 
Base Model(s)  Qwen3 30B A3B Instruct 2507   Qwen/Qwen3-30B-A3B-Instruct-2507
Model Size30b
Required VRAM17.2 GB
Updated2025-07-31
Maintainerlmstudio-community
Model Typeqwen3_moe
Instruction-BasedYes
Model Files  5.3 GB: 1-of-4   5.4 GB: 2-of-4   5.3 GB: 3-of-4   1.2 GB: 4-of-4
Quantization Type4bit
Model ArchitectureQwen3MoeForCausalLM
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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Note: green Score (e.g. "73.2") means that the model is better than lmstudio-community/Qwen3-30B-A3B-Instruct-2507-MLX-4bit.

Rank the Qwen3 30B A3B Instruct 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  
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Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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