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Qwen3.5 122B A10B NVFP4 by nvidia

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Qwen3.5 122B A10B NVFP4 is an open-source language model by nvidia. Features: 122b LLM, VRAM: 83.5GB, License: apache-2.0, LLM Explorer Score: 0.26.

  8-bit Base model:quantized:qwen/qwen... Base model:qwen/qwen3.5-122b-a...   Conversational   Fp4   Model optimizer   Modelopt   Nvfp4   Nvidia   Quantized   Qwen3.5   Qwen3 5 moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nvidia/Qwen3.5-122B-A10B-NVFP4 

Qwen3.5 122B A10B NVFP4 Benchmarks

LLME Score: 0.2642
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3.5 122B A10B NVFP4 (nvidia/Qwen3.5-122B-A10B-NVFP4)
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Qwen3.5 122B A10B NVFP4 Parameters and Internals

LLM NameQwen3.5 122B A10B NVFP4
Repository 🤗https://huggingface.co/nvidia/Qwen3.5-122B-A10B-NVFP4 
Base Model(s)  Qwen/Qwen3.5-122B-A10B   Qwen/Qwen3.5-122B-A10B
Model Size122b
Required VRAM83.5 GB
Updated2026-06-03
Maintainernvidia
Model Typeqwen3_5_moe
Model Files  10.0 GB: 1-of-9   10.0 GB: 2-of-9   10.0 GB: 3-of-9   10.0 GB: 4-of-9   10.0 GB: 5-of-9   10.0 GB: 6-of-9   10.0 GB: 7-of-9   10.0 GB: 8-of-9   3.5 GB: 9-of-9
Model ArchitectureQwen3_5MoeForConditionalGeneration
Licenseapache-2.0
Model Max Length262144
Transformers Version5.6.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Errorsreplace

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Qwen3.5 REAP 97B A10B0K / 194.2 GB2617
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Note: green Score (e.g. "73.2") means that the model is better than nvidia/Qwen3.5-122B-A10B-NVFP4.

Rank the Qwen3.5 122B A10B 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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