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Qwen3 32B FP8 by Qwen

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Qwen3 32B FP8 is an open-source language model by Qwen. Features: 32b LLM, VRAM: 34.5GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.29.

  Arxiv:2309.00071   Arxiv:2505.09388 Base model:quantized:qwen/qwen...   Base model:qwen/qwen3-32b   Conversational   Endpoints compatible   Fp8   Qwen3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen3-32B-FP8 

Qwen3 32B FP8 Benchmarks

LLME Score: 0.28539
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 32B FP8 (Qwen/Qwen3-32B-FP8)
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Qwen3 32B FP8 Parameters and Internals

LLM NameQwen3 32B FP8
Repository 🤗https://huggingface.co/Qwen/Qwen3-32B-FP8 
Base Model(s)  Qwen3 32B   Qwen/Qwen3-32B
Model Size32b
Required VRAM34.5 GB
Updated2026-04-10
MaintainerQwen
Model Typeqwen3
Model Files  5.0 GB: 1-of-7   5.0 GB: 2-of-7   4.9 GB: 3-of-7   4.9 GB: 4-of-7   4.9 GB: 5-of-7   4.9 GB: 6-of-7   4.9 GB: 7-of-7
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.51.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Qwen3 32B FP8

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Context / RAM
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...ll Qwen3 32B Preview7 QAT 200K195K / 65.8 GB93
...ll Qwen3 32B Preview6 QAT 200K195K / 65.8 GB62
...ll Qwen3 32B Preview4 QAT 200K195K / 65.8 GB72
Qwen3 32B40K / 65.6 GB3338661678
Qwen3 32B40K / 65.8 GB1740811
SERA 32B40K / 65.8 GB929110
Nemotron Terminal 32B40K / 65.6 GB150035
FrogBoss 32B 251040K / 65.8 GB730529
Qwen3 32B NVFP440K / 20.7 GB14475214
Qwen3 32B Multi Sft 50040K / 65.5 GB900
Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen3-32B-FP8.

Rank the Qwen3 32B FP8 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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