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QwQ 32B Bf16 by mlx-community

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QwQ 32B Bf16 is an open-source language model by mlx-community. Features: 32b LLM, VRAM: 65.9GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.18.

Base model:finetune:qwen/qwq-3...   Base model:qwen/qwq-32b   Chat   Conversational   En   Mlx   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlx-community/QwQ-32B-bf16 

QwQ 32B Bf16 Benchmarks

LLME Score: 0.1839
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 🤗https://huggingface.co/mlx-community/QwQ-32B-bf16 
Base Model(s)  QwQ 32B   Qwen/QwQ-32B
Model Size32b
Required VRAM65.9 GB
Updated2026-04-14
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

Best Alternatives to QwQ 32B Bf16

Best Alternatives
Context / RAM
Downloads
Likes
Openbuddy Qwq 32B V24.2 200K195K / 65.8 GB233
Openbuddy Qwq 32B V24.1 200K195K / 65.8 GB123
Openbuddy Qwq 32B V25.2q 200K195K / 65.8 GB104
...y Qwen2.5coder 32B V24.1q 200K195K / 65.8 GB82
DeepSeek R1 Distill Qwen 32B128K / 65.7 GB9908151531
Qwen2.5 32B128K / 65.5 GB239028174
Baichuan M2 32B128K / 65.8 GB110798120
OpenReasoning Nemotron 32B128K / 65.8 GB104686123
K2 Think128K / 65.8 GB3935360
RomboUltima 32B128K / 20.7 GB196
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/QwQ-32B-bf16.

Rank the QwQ 32B Bf16 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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