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Qwen3 54B A3B 2507 YOYO2 TOTAL RECALL Instruct by DavidAU

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  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 40x   Chat   Code   Code generation   Codegen   Codeqwen   Coder   Coding   Conversational   De   En   Endpoints compatible   Finetuned   Fr   Instruct   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/Qwen3-54B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct 

Qwen3 54B A3B 2507 YOYO2 TOTAL RECALL Instruct Benchmarks

LLME Score: 0.27014
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 54B A3B 2507 YOYO2 TOTAL RECALL Instruct (DavidAU/Qwen3-54B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct)
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Qwen3 54B A3B 2507 YOYO2 TOTAL RECALL Instruct Parameters and Internals

LLM NameQwen3 54B A3B 2507 YOYO2 TOTAL RECALL Instruct
Repository 🤗https://huggingface.co/DavidAU/Qwen3-54B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct 
Base Model(s)  Qwen3 30B A3B YOYO V2   YOYO-AI/Qwen3-30B-A3B-YOYO-V2
Model Size30b
Required VRAM106 GB
Updated2025-08-31
MaintainerDavidAU
Model Typeqwen3_moe
Instruction-BasedYes
Model Files  5.0 GB: 1-of-22   5.0 GB: 2-of-22   5.0 GB: 3-of-22   5.0 GB: 4-of-22   5.0 GB: 5-of-22   5.0 GB: 6-of-22   5.0 GB: 7-of-22   5.0 GB: 8-of-22   5.0 GB: 9-of-22   5.0 GB: 10-of-22   5.0 GB: 11-of-22   5.0 GB: 12-of-22   5.0 GB: 13-of-22   5.0 GB: 14-of-22   5.0 GB: 15-of-22   5.0 GB: 16-of-22   5.0 GB: 17-of-22   5.0 GB: 18-of-22   5.0 GB: 19-of-22   5.0 GB: 20-of-22   5.0 GB: 21-of-22   1.0 GB: 22-of-22
Supported Languagesen fr zh de
Generates CodeYes
Model ArchitectureQwen3MoeForCausalLM
Licenseapache-2.0
Context Length1010000
Model Max Length1010000
Transformers Version4.55.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151669
Torch Data Typefloat16
Errorsreplace

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...TOTAL RECALL V2 MASTER CODER L256K / 106 GB814
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Note: green Score (e.g. "73.2") means that the model is better than DavidAU/Qwen3-54B-A3B-2507-YOYO2-TOTAL-RECALL-Instruct.

Rank the Qwen3 54B A3B 2507 YOYO2 TOTAL RECALL Instruct 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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