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Qwen3 30B A3B YOYO V2 by YOYO-AI

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Qwen3 30B A3B YOYO V2 is an open-source language model by YOYO-AI. Features: 30b LLM, VRAM: 61.1GB, Context: 986K, License: apache-2.0, Instruction-Based, Code Generating, LLM Explorer Score: 0.21.

Base model:merge:qwen/qwen3-30... Base model:merge:qwen/qwen3-30... Base model:merge:qwen/qwen3-30... Base model:merge:qwen/qwen3-co... Base model:qwen/qwen3-30b-a3b-... Base model:qwen/qwen3-30b-a3b-... Base model:qwen/qwen3-30b-a3b-... Base model:qwen/qwen3-coder-30...   Codegen   Conversational   En   Instruct   Merge   Qwen3 moe   Region:us   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/YOYO-AI/Qwen3-30B-A3B-YOYO-V2 

Qwen3 30B A3B YOYO V2 Benchmarks

LLME Score: 0.21222
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 YOYO V2 (YOYO-AI/Qwen3-30B-A3B-YOYO-V2)
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Qwen3 30B A3B YOYO V2 Parameters and Internals

LLM NameQwen3 30B A3B YOYO V2
Repository 🤗https://huggingface.co/YOYO-AI/Qwen3-30B-A3B-YOYO-V2 
Base Model(s)  Qwen3 30B A3B Thinking 2507   Qwen3 30B A3B Instruct 2507   Qwen3 Coder 30B A3B Instruct   Qwen3 30B A3B Base   Qwen/Qwen3-30B-A3B-Thinking-2507   Qwen/Qwen3-30B-A3B-Instruct-2507   Qwen/Qwen3-Coder-30B-A3B-Instruct   Qwen/Qwen3-30B-A3B-Base
Model Size30b
Required VRAM61.1 GB
Updated2026-04-20
MaintainerYOYO-AI
Model Typeqwen3_moe
Instruction-BasedYes
Model Files  5.0 GB: 1-of-13   5.0 GB: 2-of-13   5.0 GB: 3-of-13   5.0 GB: 4-of-13   5.0 GB: 5-of-13   5.0 GB: 6-of-13   5.0 GB: 7-of-13   5.0 GB: 8-of-13   5.0 GB: 9-of-13   5.0 GB: 10-of-13   5.0 GB: 11-of-13   5.0 GB: 12-of-13   1.1 GB: 13-of-13
Supported Languagesen zh
Generates CodeYes
Model ArchitectureQwen3MoeForCausalLM
Licenseapache-2.0
Context Length1010000
Model Max Length1010000
Transformers Version4.51.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151669
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Qwen3 30B A3B YOYO V2

Best Alternatives
Context / RAM
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...LL MASTER CODER M 1million Ctx1024K / 84.8 GB1426
Qwen3 30B A3B YOYO V3986K / 61.1 GB57
...07 YOYO2 TOTAL RECALL Instruct986K / 84.8 GB271
...07 YOYO2 TOTAL RECALL Instruct986K / 106 GB200
Qwen3 Coder 30B A3B Instruct256K / 61.1 GB24066631019
...en3 Coder 30B A3B Instruct FP8256K / 31.2 GB348201172
Qwen3 Coder 30B A3B Instruct256K / 61.1 GB612726
Qwen3 Coder REAP 25B A3B256K / 49.8 GB12978
Qwen3 30B A3B YOYO V6256K / 61.1 GB256
... Instruct 480B Distill V2 Fp32256K / 122.2 GB36410
Note: green Score (e.g. "73.2") means that the model is better than YOYO-AI/Qwen3-30B-A3B-YOYO-V2.

Rank the Qwen3 30B A3B YOYO V2 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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