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Qwen3 Yoyo V3 42B A3B Thinking Total Recall by DavidAU

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Qwen3 Yoyo V3 42B A3B Thinking Total Recall is an open-source language model by DavidAU. Features: 30b LLM, VRAM: 84.8GB, Context: 986K, License: apache-2.0, Code Generating, LLM Explorer Score: 0.23.

  Arxiv:2401.02415   1 million context   128 experts   8 active experts   Autotrain compatible Base model:finetune:yoyo-ai/qw... Base model:yoyo-ai/qwen3-30b-a...   Brainstorm   Brainstorm 20x   Chat   Code   Code generation   Codegen   Codeqwen   Coder   Coding   Conversational   De   En   Endpoints compatible   Finetuned   Fr   Mixture of experts   Moe   Optional thinking   Qwen   Qwen-coder   Qwen2   Qwen3   Qwen3-30b-a3b   Qwen3-coder-30b-a3b-instruct   Qwen3 moe   Region:us   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/DavidAU/Qwen3-Yoyo-V3-42B-A3B-Thinking-Total-Recall 

Qwen3 Yoyo V3 42B A3B Thinking Total Recall Benchmarks

LLME Score: 0.23263
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 Yoyo V3 42B A3B Thinking Total Recall (DavidAU/Qwen3-Yoyo-V3-42B-A3B-Thinking-Total-Recall)
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Qwen3 Yoyo V3 42B A3B Thinking Total Recall Parameters and Internals

LLM NameQwen3 Yoyo V3 42B A3B Thinking Total Recall
Repository 🤗https://huggingface.co/DavidAU/Qwen3-Yoyo-V3-42B-A3B-Thinking-Total-Recall 
Base Model(s)  Qwen3 30B A3B YOYO V3   YOYO-AI/Qwen3-30B-A3B-YOYO-V3
Model Size30b
Required VRAM84.8 GB
Updated2025-10-04
MaintainerDavidAU
Model Typeqwen3_moe
Model Files  5.0 GB: 1-of-17   5.0 GB: 2-of-17   5.0 GB: 3-of-17   5.0 GB: 4-of-17   5.0 GB: 5-of-17   5.0 GB: 6-of-17   5.0 GB: 7-of-17   5.0 GB: 8-of-17   5.0 GB: 9-of-17   5.0 GB: 10-of-17   5.0 GB: 11-of-17   5.0 GB: 12-of-17   5.0 GB: 13-of-17   5.0 GB: 14-of-17   5.0 GB: 15-of-17   5.0 GB: 16-of-17   4.8 GB: 17-of-17
Supported Languagesen fr zh de
Generates CodeYes
Model ArchitectureQwen3MoeForCausalLM
Licenseapache-2.0
Context Length1010000
Model Max Length1010000
Transformers Version4.56.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151669
Errorsreplace

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Qwen3 30B A3B YOYO V2986K / 61.1 GB875
Qwen3 30B A3B YOYO V3986K / 61.1 GB87
...07 YOYO2 TOTAL RECALL Instruct986K / 84.8 GB271
...07 YOYO2 TOTAL RECALL Instruct986K / 106 GB200
Qwen3 Coder 30B A3B Instruct256K / 61.1 GB459085877
...en3 Coder 30B A3B Instruct FP8256K / 31.2 GB8620691
Qwen3 Coder 30B A3B Instruct256K / 61.1 GB445217
... Instruct 480B Distill V2 Fp32256K / 122.2 GB36410
... A3B CoderThinking YOYO Linear256K / 61.1 GB1603
...TOTAL RECALL V2 MASTER CODER L256K / 106 GB7612
Note: green Score (e.g. "73.2") means that the model is better than DavidAU/Qwen3-Yoyo-V3-42B-A3B-Thinking-Total-Recall.

Rank the Qwen3 Yoyo V3 42B A3B Thinking Total Recall Capabilities

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