What are the hardware requirements for QwQ R1 Abliterated TIES Qwen2.5 32B?

QwQ R1 Abliterated TIES Qwen2.5 32B requires approximately 65.8 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed QwQ R1 Abliterated TIES Qwen2.5 32B and how large is it?

QwQ R1 Abliterated TIES Qwen2.5 32B is developed by nbeerbower, 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 QwQ R1 Abliterated TIES Qwen2.5 32B?

QwQ R1 Abliterated TIES Qwen2.5 32B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

QwQ R1 Abliterated TIES Qwen2.5 32B by nbeerbower — VRAM 65.8GB, 128K context

Name: QwQ R1 Abliterated TIES Qwen2.5 32B
Author: nbeerbower

QwQ R1 Abliterated TIES Qwen2.5 32B is an open-source language model by nbeerbower. Features: 32b LLM, VRAM: 65.8GB, Context: 128K, Merged, LLM Explorer Score: 0.16.

Merged Model Arxiv:2306.01708 Ara Base model:fuseai/fuseo1-deeps... Base model:huihui-ai/deepseek-... Base model:qwen/qwen2.5-32b Conversational Deu Endpoints compatible Eng Fra Ita Jpn Kor Por Qwen2 Region:us Rus Safetensors Sharded Spa Tensorflow Tha Vie Zho

Model Card on HF 🤗: https://huggingface.co/nbeerbower/QwQ-R1-abliterated-TIES-Qwen2.5-32B

QwQ R1 Abliterated TIES Qwen2.5 32B Parameters and Internals

LLM Name	QwQ R1 Abliterated TIES Qwen2.5 32B
Repository 🤗	https://huggingface.co/nbeerbower/QwQ-R1-abliterated-TIES-Qwen2.5-32B
Base Model(s)	Qwen/Qwen2.5-32B ...1 Distill Qwen 32B Abliterated ...epSeekR1 QwQ SkyT1 32B Preview Qwen/Qwen2.5-32B huihui-ai/DeepSeek-R1-Distill-Qwen-32B-abliterated FuseAI/FuseO1-DeepSeekR1-QwQ-SkyT1-32B-Preview
Merged Model	Yes
Model Size	32b
Required VRAM	65.8 GB
Updated	2026-08-04
Maintainer	nbeerbower
Model Type	qwen2
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	131072
Model Max Length	131072
Transformers Version	4.44.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the QwQ R1 Abliterated TIES Qwen2.5 32B capabilities

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Best Alternatives to QwQ R1 Abliterated TIES Qwen2.5 32B

Best Alternatives	Context / RAM	Downloads	Likes
Openbuddy Qwq 32B V24.2 200K	195K / 65.8 GB	9	3
Openbuddy Qwq 32B V24.1 200K	195K / 65.8 GB	10	3
Openbuddy Qwq 32B V25.2q 200K	195K / 65.8 GB	1	4
...y Qwen2.5coder 32B V24.1q 200K	195K / 65.8 GB	9	2
DeepSeek R1 Distill Qwen 32B	128K / 65.7 GB	841633	1584
Qwen2.5 32B	128K / 65.5 GB	49206	180
RomboUltima 32B	128K / 20.7 GB	12	6
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	19	17
Ultiima 32B	128K / 65.8 GB	11	7
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	18	4

Note: green Score (e.g. "73.2") means that the model is better than nbeerbower/QwQ-R1-abliterated-TIES-Qwen2.5-32B.