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Qwen3 235B A22B MLX Bf16 by Qwen

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Qwen3 235B A22B MLX Bf16 is an open-source language model by Qwen. Features: 235b LLM, VRAM: 224.6GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.19.

  Arxiv:2309.00071   Arxiv:2505.09388   Conversational   Mlx   Qwen3 moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen3-235B-A22B-MLX-bf16 

Qwen3 235B A22B MLX Bf16 Benchmarks

LLME Score: 0.19401
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 235B A22B MLX Bf16 (Qwen/Qwen3-235B-A22B-MLX-bf16)
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Qwen3 235B A22B MLX Bf16 Parameters and Internals

LLM NameQwen3 235B A22B MLX Bf16
Repository 🤗https://huggingface.co/Qwen/Qwen3-235B-A22B-MLX-bf16 
Model Size235b
Required VRAM224.6 GB
Updated2026-07-01
MaintainerQwen
Model Typeqwen3_moe
Model Files  4.6 GB: 1-of-95   5.0 GB: 2-of-95   5.0 GB: 3-of-95   5.0 GB: 4-of-95   5.0 GB: 5-of-95   5.0 GB: 6-of-95   5.0 GB: 7-of-95   5.0 GB: 8-of-95   5.0 GB: 9-of-95   5.0 GB: 10-of-95   5.0 GB: 11-of-95   5.0 GB: 12-of-95   5.0 GB: 13-of-95   5.0 GB: 14-of-95   5.0 GB: 15-of-95   5.0 GB: 16-of-95   5.0 GB: 17-of-95   5.0 GB: 18-of-95   5.0 GB: 19-of-95   5.0 GB: 20-of-95   5.0 GB: 21-of-95   5.0 GB: 22-of-95   5.0 GB: 23-of-95   5.0 GB: 24-of-95   5.0 GB: 25-of-95   5.0 GB: 26-of-95   5.0 GB: 27-of-95   5.0 GB: 28-of-95   5.0 GB: 29-of-95   5.0 GB: 30-of-95   5.0 GB: 31-of-95   5.0 GB: 32-of-95   5.0 GB: 33-of-95   5.0 GB: 34-of-95   5.0 GB: 35-of-95   5.0 GB: 36-of-95   5.0 GB: 37-of-95   5.0 GB: 38-of-95   5.0 GB: 39-of-95   5.0 GB: 40-of-95   5.0 GB: 41-of-95   5.0 GB: 42-of-95   5.0 GB: 43-of-95   5.0 GB: 44-of-95   5.0 GB: 45-of-95
Model ArchitectureQwen3MoeForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.51.0
Vocabulary Size151936
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen3-235B-A22B-MLX-bf16.

Rank the Qwen3 235B A22B MLX Bf16 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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