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Qwen3 32B 4bit by mlx-community

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Qwen3 32B 4bit is an open-source language model by mlx-community. Features: 32b LLM, VRAM: 18.5GB, Context: 40K, License: apache-2.0, Quantized, LLM Explorer Score: 0.21.

  4-bit   4bit Base model:quantized:qwen/qwen...   Base model:qwen/qwen3-32b   Conversational   Mlx   Quantized   Qwen3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlx-community/Qwen3-32B-4bit 

Qwen3 32B 4bit Benchmarks

LLME Score: 0.21372
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 32B 4bit (mlx-community/Qwen3-32B-4bit)
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Qwen3 32B 4bit Parameters and Internals

LLM NameQwen3 32B 4bit
Repository 🤗https://huggingface.co/mlx-community/Qwen3-32B-4bit 
Base Model(s)  Qwen3 32B   Qwen/Qwen3-32B
Model Size32b
Required VRAM18.5 GB
Updated2026-04-03
Maintainermlx-community
Model Typeqwen3
Model Files  5.4 GB: 1-of-4   5.3 GB: 2-of-4   5.4 GB: 3-of-4   2.4 GB: 4-of-4
Quantization Type4bit
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.51.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Qwen3 32B 4bit

Best Alternatives
Context / RAM
Downloads
Likes
...line Merged 16bit Merged 16bit40K / 65.8 GB3800
Qwen3 32B Unsloth Bnb 4bit40K / 39.5 GB582215
Qwen3 32B MLX 8bit40K / 33.7 GB86111
Qwen3 32B MLX 4bit40K / 17.4 GB2986
Qwen3 32B 8bit40K / 34.9 GB5390
Qwen3 32B MLX 6bit40K / 25.5 GB644
...ll Qwen3 32B Preview7 QAT 200K195K / 65.8 GB93
...ll Qwen3 32B Preview6 QAT 200K195K / 65.8 GB62
...ll Qwen3 32B Preview4 QAT 200K195K / 65.8 GB72
Qwen3 32B 128K GGUF128K / 7.7 GB80627
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Qwen3-32B-4bit.

Rank the Qwen3 32B 4bit Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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