What are the hardware requirements for QAQ 32B Merge1?

QAQ 32B Merge1 requires approximately 65.8 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed QAQ 32B Merge1 and how large is it?

QAQ 32B Merge1 is developed by DataSoul, a model with 32b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate QAQ 32B Merge1?

QAQ 32B Merge1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

QAQ 32B Merge1 by DataSoul — VRAM 65.8GB, 40K context

Name: QAQ 32B Merge1
Author: DataSoul

QAQ 32B Merge1 is an open-source language model by DataSoul. Features: 32b LLM, VRAM: 65.8GB, Context: 40K, Instruction-Based, Merged, LLM Explorer Score: 0.17.

Merged Model Arxiv:2306.01708 Ara Base model:qwen/qwen2.5-32b-in... Base model:qwen/qwq-32b Base model:zetasepic/qwen2.5-3... Conversational Deu Endpoints compatible Eng Fra Instruct Ita Jpn Kor Por Qwen2 Region:us Rus Safetensors Sharded Spa Tensorflow Tha Vie Zho

Model Card on HF 🤗: https://huggingface.co/DataSoul/QAQ-32B-merge1

QAQ 32B Merge1 Parameters and Internals

LLM Name	QAQ 32B Merge1
Repository 🤗	https://huggingface.co/DataSoul/QAQ-32B-merge1
Base Model(s)	zetasepic/Qwen2.5-32B-Instruct-abliterated-v2 QwQ 32B Qwen/Qwen2.5-32B-Instruct zetasepic/Qwen2.5-32B-Instruct-abliterated-v2 Qwen/QwQ-32B Qwen/Qwen2.5-32B-Instruct
Merged Model	Yes
Model Size	32b
Required VRAM	65.8 GB
Updated	2026-08-24
Maintainer	DataSoul
Model Type	qwen2
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-14 5.0 GB: 2-of-14 4.9 GB: 3-of-14 4.9 GB: 4-of-14 4.9 GB: 5-of-14 4.9 GB: 6-of-14 4.9 GB: 7-of-14 4.9 GB: 8-of-14 4.9 GB: 9-of-14 4.9 GB: 10-of-14 4.9 GB: 11-of-14 4.9 GB: 12-of-14 4.9 GB: 13-of-14 1.9 GB: 14-of-14
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
Context Length	40960
Model Max Length	40960
Transformers Version	4.49.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	float16
Errors	replace

Rank the QAQ 32B Merge1 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to QAQ 32B Merge1

Best Alternatives	Context / RAM	Downloads	Likes
...y Qwen2.5coder 32B V24.1q 200K	195K / 65.8 GB	9	2
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	28	17
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	22	4
Franqwenstein 35B	128K / 69.8 GB	5	8
ELYZA Thinking 1.0 Qwen 32B	128K / 65.8 GB	23	10
Archaeo 32B KTO	128K / 65.8 GB	19	4
Hamanasu Magnum QwQ 32B	128K / 65.8 GB	295	9
Qwen2.5 32B Gokgok Step3	128K / 65.7 GB	6	0
Openthaigpt R1 32B Instruct	128K / 65.8 GB	33	8
Qwen2.5 32B Dark Days Stage2	128K / 65.8 GB	9	0

Note: green Score (e.g. "73.2") means that the model is better than DataSoul/QAQ-32B-merge1.