Qwen QwQ 32B 425bpw H6 EXL2 by dillonroach

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Qwen QwQ 32B 425bpw H6 EXL2 is an open-source language model by dillonroach. Features: 32b LLM, VRAM: 18.8GB, Context: 128K, License: apache-2.0, Quantized, LLM Explorer Score: 0.18.

  Arxiv:2309.00071   Arxiv:2407.10671 Base model:quantized:qwen/qwq-...   Base model:qwen/qwq-32b   Chat   Conversational   En   Exl2   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Qwen QwQ 32B 425bpw H6 EXL2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Qwen QwQ 32B 425bpw H6 EXL2 Parameters and Internals

LLM NameQwen QwQ 32B 425bpw H6 EXL2
Repository 🤗https://huggingface.co/dillonroach/Qwen-QwQ-32B-425bpw-h6-exl2 
Base Model(s)  QwQ 32B   Qwen/QwQ-32B
Model Size32b
Required VRAM18.8 GB
Updated2026-04-03
Maintainerdillonroach
Model Typeqwen2
Model Files  8.5 GB: 1-of-3   8.6 GB: 2-of-3   1.7 GB: 3-of-3
Supported Languagesen
Quantization Typeexl2
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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...till Qwen 32B Abliterated 4bit128K / 18.5 GB5496
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...T1 Flash Lightest 32B Mlx 4Bit128K / 18.5 GB1518
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Note: green Score (e.g. "73.2") means that the model is better than dillonroach/Qwen-QwQ-32B-425bpw-h6-exl2.

Rank the Qwen QwQ 32B 425bpw H6 EXL2 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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Release v20260328a