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Qwen3 30B A6B 16 Extreme by DavidAU

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  16 experts   32 k context   Autotrain compatible Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-30b-a3b-...   Conversational   Endpoints compatible   Qwen3   Qwen3 moe   Reasoning   Region:us   Safetensors   Sharded   Tensorflow   Thinking
Model Card on HF 🤗: https://huggingface.co/DavidAU/Qwen3-30B-A6B-16-Extreme 

Qwen3 30B A6B 16 Extreme Benchmarks

LLME Score: 0.36671
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 30B A6B 16 Extreme (DavidAU/Qwen3-30B-A6B-16-Extreme)

Qwen3 30B A6B 16 Extreme Parameters and Internals

LLM NameQwen3 30B A6B 16 Extreme
Repository 🤗https://huggingface.co/DavidAU/Qwen3-30B-A6B-16-Extreme 
Base Model(s)  Qwen3 30B A3B Base   Qwen/Qwen3-30B-A3B-Base
Model Size30b
Required VRAM61.1 GB
Updated2025-05-22
MaintainerDavidAU
Model Typeqwen3_moe
Model Files  4.0 GB: 1-of-16   4.0 GB: 2-of-16   4.0 GB: 3-of-16   4.0 GB: 4-of-16   4.0 GB: 5-of-16   4.0 GB: 6-of-16   4.0 GB: 7-of-16   4.0 GB: 8-of-16   4.0 GB: 9-of-16   4.0 GB: 10-of-16   4.0 GB: 11-of-16   4.0 GB: 12-of-16   4.0 GB: 13-of-16   4.0 GB: 14-of-16   4.0 GB: 15-of-16   1.1 GB: 16-of-16
Model ArchitectureQwen3MoeForCausalLM
Context Length40960
Model Max Length40960
Transformers Version4.51.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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...0B A6B 16 Extreme 128K Context128K / 61.1 GB807
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...en3 30B A3B Abliterated Erotic40K / 61.1 GB1119
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Qwen3 30B A1.5B High Speed40K / 61.1 GB1877
... 30B A7.5B 24 Grand Brainstorm40K / 61.1 GB678
Note: green Score (e.g. "73.2") means that the model is better than DavidAU/Qwen3-30B-A6B-16-Extreme.

Rank the Qwen3 30B A6B 16 Extreme Capabilities

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Release v20241227
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