What are the hardware requirements for Deductive Reasoning Qwen 32B?

Deductive Reasoning Qwen 32B requires approximately 65.5 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Deductive Reasoning Qwen 32B and how large is it?

Deductive Reasoning Qwen 32B is developed by OpenPipe, 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 Deductive Reasoning Qwen 32B?

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

Deductive Reasoning Qwen 32B by OpenPipe — VRAM 65.5GB, 32K context

Name: Deductive Reasoning Qwen 32B
Author: OpenPipe

Deductive Reasoning Qwen 32B is an open-source language model by OpenPipe. Features: 32b LLM, VRAM: 65.5GB, Context: 32K, License: mit, Instruction-Based, LLM Explorer Score: 0.17.

Ara Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-32b-in... Chat 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/OpenPipe/Deductive-Reasoning-Qwen-32B

Deductive Reasoning Qwen 32B Parameters and Internals

LLM Name	Deductive Reasoning Qwen 32B
Repository 🤗	https://huggingface.co/OpenPipe/Deductive-Reasoning-Qwen-32B
Base Model(s)	Qwen/Qwen2.5-32B-Instruct Qwen/Qwen2.5-32B-Instruct
Model Size	32b
Required VRAM	65.5 GB
Updated	2026-07-26
Maintainer	OpenPipe
Model Type	qwen2
Instruction-Based	Yes
Model Files	3.9 GB: 1-of-17 3.9 GB: 2-of-17 3.9 GB: 3-of-17 3.9 GB: 4-of-17 3.9 GB: 5-of-17 3.9 GB: 6-of-17 3.9 GB: 7-of-17 3.9 GB: 8-of-17 3.9 GB: 9-of-17 3.9 GB: 10-of-17 3.9 GB: 11-of-17 3.9 GB: 12-of-17 3.9 GB: 13-of-17 3.9 GB: 14-of-17 3.9 GB: 15-of-17 3.9 GB: 16-of-17 3.1 GB: 17-of-17
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	mit
Context Length	32768
Model Max Length	32768
Transformers Version	4.43.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Deductive Reasoning Qwen 32B capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
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Data Analysis and Insight Generation
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Best Alternatives to Deductive Reasoning Qwen 32B

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 OpenPipe/Deductive-Reasoning-Qwen-32B.