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Qwen3 30B A3B 128K Bnb 4bit by unsloth

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Qwen3 30B A3B 128K Bnb 4bit is an open-source language model by unsloth. Features: 30b LLM, VRAM: 16.7GB, Context: 128K, Quantized, LLM Explorer Score: 0.19.

  4-bit   4bit   Bitsandbytes   Quantized   Qwen3 moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/unsloth/Qwen3-30B-A3B-128K-bnb-4bit 

Qwen3 30B A3B 128K Bnb 4bit Benchmarks

LLME Score: 0.19351
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 128K Bnb 4bit (unsloth/Qwen3-30B-A3B-128K-bnb-4bit)
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Qwen3 30B A3B 128K Bnb 4bit Parameters and Internals

LLM NameQwen3 30B A3B 128K Bnb 4bit
Repository 🤗https://huggingface.co/unsloth/Qwen3-30B-A3B-128K-bnb-4bit 
Model Size30b
Required VRAM16.7 GB
Updated2026-04-17
Maintainerunsloth
Model Typeqwen3_moe
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   1.7 GB: 4-of-4
Quantization Type4bit
Model ArchitectureQwen3MoeForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.51.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen3-30B-A3B-128K-bnb-4bit.

Rank the Qwen3 30B A3B 128K Bnb 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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