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Qwen3 32B NVFP4 by nvidia

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Qwen3 32B NVFP4 is an open-source language model by nvidia. Features: 32b LLM, VRAM: 20.7GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.31.

  8-bit Base model:quantized:qwen/qwen...   Base model:qwen/qwen3-32b   Conversational   Fp4   Model optimizer   Modelopt   Nvidia   Quantized   Qwen3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nvidia/Qwen3-32B-NVFP4 

Qwen3 32B NVFP4 Benchmarks

LLME Score: 0.30963
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 32B NVFP4 (nvidia/Qwen3-32B-NVFP4)
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Qwen3 32B NVFP4 Parameters and Internals

LLM NameQwen3 32B NVFP4
Repository 🤗https://huggingface.co/nvidia/Qwen3-32B-NVFP4 
Base Model(s)  Qwen3 32B   Qwen/Qwen3-32B
Model Size32b
Required VRAM20.7 GB
Updated2026-03-27
Maintainernvidia
Model Typeqwen3
Model Files  5.0 GB: 1-of-5   4.9 GB: 2-of-5   4.9 GB: 3-of-5   4.3 GB: 4-of-5   1.6 GB: 5-of-5
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.53.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Qwen3 32B NVFP4

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Context / RAM
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...ll Qwen3 32B Preview7 QAT 200K195K / 65.8 GB33
...ll Qwen3 32B Preview6 QAT 200K195K / 65.8 GB22
...ll Qwen3 32B Preview4 QAT 200K195K / 65.8 GB22
Qwen3 32B40K / 65.6 GB5942227549
SERA 32B40K / 65.8 GB929110
Nemotron Terminal 32B40K / 65.6 GB151634
Qwen3 32B FP840K / 34.5 GB82354676
Goedel Prover V2 32B40K / 65.8 GB1271151
T Pro It 2.040K / 65.8 GB2268123
Qwen3 32B40K / 65.8 GB1740811
Note: green Score (e.g. "73.2") means that the model is better than nvidia/Qwen3-32B-NVFP4.

Rank the Qwen3 32B NVFP4 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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