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QwQ 32B GGUF by unsloth

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QwQ 32B GGUF is an open-source language model by unsloth. Features: 32b LLM, VRAM: 7.7GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.23.

  Arxiv:2309.00071   Arxiv:2407.10671 Base model:quantized:qwen/qwq-...   Base model:qwen/qwq-32b   Chat   Conversational   En   Endpoints compatible   Gguf   Imatrix   Q2   Quantized   Qwen   Qwen2   Region:us
Model Card on HF 🤗: https://huggingface.co/unsloth/QwQ-32B-GGUF 

QwQ 32B GGUF Benchmarks

LLME Score: 0.23026
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
QwQ 32B GGUF (unsloth/QwQ-32B-GGUF)
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QwQ 32B GGUF Parameters and Internals

LLM NameQwQ 32B GGUF
Repository 🤗https://huggingface.co/unsloth/QwQ-32B-GGUF 
Base Model(s)  QwQ 32B   Qwen/QwQ-32B
Model Size32b
Required VRAM7.7 GB
Updated2025-12-13
Maintainerunsloth
Model Typeqwen2
Model Files  18.7 GB   17.7 GB   12.3 GB   12.5 GB   15.9 GB   14.4 GB   18.7 GB   20.6 GB   19.9 GB   23.3 GB   26.9 GB   8.3 GB   7.7 GB   11.5 GB   9.3 GB   13.1 GB   12.7 GB   16.3 GB   20.1 GB   23.3 GB   28.5 GB   38.7 GB   34.8 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|q2|q4_k|q5_k
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.51.3
Vocabulary Size152064
Torch Data Typebfloat16

Best Alternatives to QwQ 32B GGUF

Best Alternatives
Context / RAM
Downloads
Likes
QwentileSwap32K / 65 GB224
WPAIGPT Fse Patterns 132K / 65.8 GB883
...k R1 Distill Qwen 32B Bnb 4bit128K / 19.2 GB739829
Hydraulic Deepseek 16bit128K / 65.8 GB520
QwQ 32B Unsloth Bnb 4bit128K / 22.5 GB74147
...pSeek R1 Distill Qwen 32B 4bit128K / 18.5 GB156345
...till Qwen 32B Unsloth Bnb 4bit128K / 35.6 GB117210
QwQ 32B 4bit128K / 18.5 GB24237
...till Qwen 32B Abliterated 4bit128K / 18.5 GB5496
...ogito V1 Preview Qwen 32B 4bit128K / 18.5 GB375
Note: green Score (e.g. "73.2") means that the model is better than unsloth/QwQ-32B-GGUF.

Rank the QwQ 32B GGUF 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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