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Qwen3.6 35B A3B NVFP4 by nvidia

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Qwen3.6 35B A3B NVFP4 is an open-source language model by nvidia. Features: 35b LLM, VRAM: 23.4GB, License: apache-2.0, LLM Explorer Score: 0.5.

  8-bit Base model:quantized:qwen/qwen... Base model:qwen/qwen3.6-35b-a3...   Conversational   Deploy:azure   Fp4   Model optimizer   Modelopt   Nvidia   Quantized   Qwen3.6   Qwen3 5 moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nvidia/Qwen3.6-35B-A3B-NVFP4 

Qwen3.6 35B A3B NVFP4 Benchmarks

LLME Score: 0.49806
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 NVFP4 (nvidia/Qwen3.6-35B-A3B-NVFP4)
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Qwen3.6 35B A3B NVFP4 Parameters and Internals

LLM NameQwen3.6 35B A3B NVFP4
Repository 🤗https://huggingface.co/nvidia/Qwen3.6-35B-A3B-NVFP4 
Base Model(s)  Qwen/Qwen3.6-35B-A3B   Qwen/Qwen3.6-35B-A3B
Model Size35b
Required VRAM23.4 GB
Updated2026-07-19
Maintainernvidia
Model Typeqwen3_5_moe
Model Files  10.0 GB: 1-of-3   10.0 GB: 2-of-3   3.4 GB: 3-of-3
Model ArchitectureQwen3_5MoeForConditionalGeneration
Licenseapache-2.0
Model Max Length262144
Transformers Version5.7.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Errorsreplace

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Rank the Qwen3.6 35B A3B NVFP4 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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