QwQ 32B Bf16 by mlx-community

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QwQ 32B Bf16 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
QwQ 32B Bf16 (mlx-community/QwQ-32B-bf16)
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QwQ 32B Bf16 Parameters and Internals

LLM NameQwQ 32B Bf16
Repository ๐Ÿค—https://huggingface.co/mlx-community/QwQ-32B-bf16 
Base Model(s)  QwQ 32B   Qwen/QwQ-32B
Model Size32b
Required VRAM65.9 GB
Updated2025-07-20
Maintainermlx-community
Model Typeqwen2
Model Files  5.2 GB: 1-of-13   5.3 GB: 2-of-13   5.2 GB: 3-of-13   5.2 GB: 4-of-13   5.3 GB: 5-of-13   5.2 GB: 6-of-13   5.2 GB: 7-of-13   5.3 GB: 8-of-13   5.2 GB: 9-of-13   5.2 GB: 10-of-13   5.3 GB: 11-of-13   5.2 GB: 12-of-13   3.1 GB: 13-of-13
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.43.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than mlx-community/QwQ-32B-bf16.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124