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QwQ 32B Preview AWQ by KirillR

By KirillR · 39 downloads
HF Repo ↗ Copy URL

QwQ 32B Preview AWQ is an open-source language model by KirillR. Features: 32b LLM, VRAM: 19.4GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.15.

  Arxiv:2407.10671   4-bit   Awq Base model:quantized:qwen/qwq-... Base model:qwen/qwq-32b-previe...   Conversational   Deploy:azure   En   Endpoints compatible   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/KirillR/QwQ-32B-Preview-AWQ 

QwQ 32B Preview AWQ Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research
Applications:
mathematics, coding
Primary Use Cases:
AI reasoning in mathematics and coding
Limitations:
Language Mixing and Code Switching, Recursive Reasoning Loops, Performance limitations in common sense reasoning and nuanced language understanding
Additional Notes 
The quantized model significantly reduces memory usage and computational requirements, making it suitable for deployment on hardware with limited resources.
Supported Languages 
en (proficient)
Responsible Ai Considerations 
Mitigation Strategies:
Enhanced safety measures are needed to ensure reliable and secure performance.
LLM NameQwQ 32B Preview AWQ
Repository 🤗https://huggingface.co/KirillR/QwQ-32B-Preview-AWQ 
Base Model(s)  QwQ 32B Preview   Qwen/QwQ-32B-Preview
Model Size32b
Required VRAM19.4 GB
Updated2026-08-05
MaintainerKirillR
Model Typeqwen2
Model Files  3.9 GB: 1-of-5   4.0 GB: 2-of-5   4.0 GB: 3-of-5   4.0 GB: 4-of-5   3.5 GB: 5-of-5
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.46.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than KirillR/QwQ-32B-Preview-AWQ.