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Qwen3 30B A3B.w4a16 by nytopop

 »  All LLMs  »  nytopop  »  Qwen3 30B A3B.w4a16   URL Share it on

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Qwen3 30B A3B.w4a16 is an open-source language model by nytopop. Features: 30b LLM, VRAM: 16.7GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.19.

Base model:quantized:qwen/qwen...   Base model:qwen/qwen3-30b-a3b   Compressed-tensors   Conversational   Endpoints compatible   Qwen3 moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nytopop/Qwen3-30B-A3B.w4a16 

Qwen3 30B A3B.w4a16 Benchmarks

LLME Score: 0.18869
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.w4a16 (nytopop/Qwen3-30B-A3B.w4a16)
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Qwen3 30B A3B.w4a16 Parameters and Internals

LLM NameQwen3 30B A3B.w4a16
Repository 🤗https://huggingface.co/nytopop/Qwen3-30B-A3B.w4a16 
Base Model(s)  Qwen3 30B A3B   Qwen/Qwen3-30B-A3B
Model Size30b
Required VRAM16.7 GB
Updated2026-05-25
Maintainernytopop
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
Model ArchitectureQwen3MoeForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.51.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Qwen3 30B A3B.w4a16

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...LL MASTER CODER M 1million Ctx1024K / 84.8 GB66
... 42B A3B Thinking Total Recall986K / 84.8 GB260
Qwen3 30B A3B YOYO V3986K / 61.1 GB97
...07 YOYO2 TOTAL RECALL Instruct986K / 84.8 GB271
...07 YOYO2 TOTAL RECALL Instruct986K / 106 GB200
Qwen3 30B A3B YOYO V2986K / 61.1 GB205
Qwen3 Coder 30B A3B Instruct256K / 61.1 GB20067111064
Qwen3 30B A3B Instruct 2507256K / 61.1 GB999215811
Qwen3 30B A3B Instruct 2507256K / 61.1 GB469613
Lynx Instruct 30B256K / 61.1 GB3780933
Note: green Score (e.g. "73.2") means that the model is better than nytopop/Qwen3-30B-A3B.w4a16.

Rank the Qwen3 30B A3B.w4a16 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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