Qwopus MoE 35B A3B by samuelcardillo

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Qwopus MoE 35B A3B is an open-source language model by samuelcardillo. Features: 36b LLM, VRAM: 72.3GB, License: apache-2.0, MoE.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.5-35b-a3...   Claude-opus Dataset:jackrong/qwen3.5-reaso... Dataset:nohurry/opus-4.6-reaso... Dataset:roman1111111/claude-op...   Distillation   En   Moe   Qlora   Qwen3.5   Qwen3 5 moe   Reasoning   Region:us   Safetensors   Sharded   Tensorflow   Unsloth   Zh
Qwopus MoE 35B A3B (samuelcardillo/Qwopus-MoE-35B-A3B)
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Qwopus MoE 35B A3B Parameters and Internals

LLM NameQwopus MoE 35B A3B
Repository ๐Ÿค—https://huggingface.co/samuelcardillo/Qwopus-MoE-35B-A3B 
Model Nameunsloth/Qwen3.5-35B-A3B
Base Model(s)  Qwen/Qwen3.5-35B-A3B   Qwen/Qwen3.5-35B-A3B
Model Size36b
Required VRAM72.3 GB
Updated2026-04-08
Maintainersamuelcardillo
Model Typeqwen3_5_moe
Model Files  5.4 GB: 1-of-14   5.4 GB: 2-of-14   5.4 GB: 3-of-14   5.4 GB: 4-of-14   5.4 GB: 5-of-14   5.4 GB: 6-of-14   5.4 GB: 7-of-14   5.4 GB: 8-of-14   5.3 GB: 9-of-14   5.4 GB: 10-of-14   5.4 GB: 11-of-14   5.4 GB: 12-of-14   5.4 GB: 13-of-14   2.2 GB: 14-of-14
Supported Languagesen zh
Model ArchitectureQwen3_5MoeForConditionalGeneration
Licenseapache-2.0
Model Max Length262144
Tokenizer ClassTokenizersBackend
Padding Token<|vision_pad|>
Torch Data Typebfloat16
Errorsreplace

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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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Release v20260328a