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Qwen3.6 35B A3B Domain Aggressive by Reflex-jr

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Qwen3.6 35B A3B Domain Aggressive is an open-source language model by Reflex-jr. Features: 34.7b LLM, VRAM: 69.5GB, Context: 256K, MoE, LLM Explorer Score: 0.28.

  Moe   Qwen3 5 moe text   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Reflex-jr/Qwen3.6-35B-A3B-Domain-Aggressive 

Qwen3.6 35B A3B Domain Aggressive Benchmarks

LLME Score: 0.28036
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3.6 35B A3B Domain Aggressive (Reflex-jr/Qwen3.6-35B-A3B-Domain-Aggressive)
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Qwen3.6 35B A3B Domain Aggressive Parameters and Internals

LLM NameQwen3.6 35B A3B Domain Aggressive
Repository 🤗https://huggingface.co/Reflex-jr/Qwen3.6-35B-A3B-Domain-Aggressive 
Model Size34.7b
Required VRAM69.5 GB
Updated2026-04-28
MaintainerReflex-jr
Model Typeqwen3_5_moe_text
Model Files  4.3 GB: 1-of-16   4.5 GB: 2-of-16   5.0 GB: 3-of-16   4.0 GB: 4-of-16   4.5 GB: 5-of-16   5.0 GB: 6-of-16   4.0 GB: 7-of-16   4.5 GB: 8-of-16   5.0 GB: 9-of-16   4.0 GB: 10-of-16   4.5 GB: 11-of-16   5.0 GB: 12-of-16   4.0 GB: 13-of-16   4.5 GB: 14-of-16   5.0 GB: 15-of-16   1.7 GB: 16-of-16
Model ArchitectureQwen3_5MoeForCausalLM
Context Length262144
Model Max Length262144
Transformers Version5.7.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size248320
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Reflex-jr/Qwen3.6-35B-A3B-Domain-Aggressive.

Rank the Qwen3.6 35B A3B Domain Aggressive 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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