What are the hardware requirements for Qwq 32B Chat Brainstorm V3.2?

Qwq 32B Chat Brainstorm V3.2 requires approximately 131.5 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 Qwq 32B Chat Brainstorm V3.2 and how large is it?

Qwq 32B Chat Brainstorm V3.2 is developed by DevQuasar, 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 32B Chat Brainstorm V3.2?

Qwq 32B Chat Brainstorm V3.2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwq 32B Chat Brainstorm V3.2 by DevQuasar — VRAM 131.5GB, 40K context

Name: Qwq 32B Chat Brainstorm V3.2
Author: DevQuasar

Qwq 32B Chat Brainstorm V3.2 is an open-source language model by DevQuasar. Features: 32b LLM, VRAM: 131.5GB, Context: 40K, LLM Explorer Score: 0.17.

Qwen2 Region:us Safetensors Sharded Tensorboard Tensorflow

Model Card on HF 🤗: https://huggingface.co/csabakecskemeti/qwq-32b_chat_brainstorm-v3.2

Qwq 32B Chat Brainstorm V3.2 Parameters and Internals

LLM Name	Qwq 32b Chat Brainstorm V3.2
Repository 🤗	https://huggingface.co/csabakecskemeti/qwq-32b_chat_brainstorm-v3.2
Model Size	32b
Required VRAM	131.5 GB
Updated	2026-08-25
Maintainer	DevQuasar
Model Type	qwen2
Model Files	4.5 GB: 1-of-29 4.7 GB: 2-of-29 4.5 GB: 3-of-29 4.5 GB: 4-of-29 4.7 GB: 5-of-29 4.5 GB: 6-of-29 4.5 GB: 7-of-29 4.7 GB: 8-of-29 4.5 GB: 9-of-29 4.5 GB: 10-of-29 4.7 GB: 11-of-29 4.5 GB: 12-of-29 4.5 GB: 13-of-29 4.7 GB: 14-of-29 4.5 GB: 15-of-29 4.5 GB: 16-of-29 4.7 GB: 17-of-29 4.5 GB: 18-of-29 4.5 GB: 19-of-29 4.7 GB: 20-of-29 4.5 GB: 21-of-29 4.5 GB: 22-of-29 4.7 GB: 23-of-29 4.5 GB: 24-of-29 4.5 GB: 25-of-29 4.7 GB: 26-of-29 4.5 GB: 27-of-29 4.5 GB: 28-of-29 3.7 GB: 29-of-29
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	float32
Errors	replace

Rank the Qwq 32B Chat Brainstorm V3.2 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

Best Alternatives to Qwq 32B Chat Brainstorm V3.2

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	28	17
Ultiima 32B	128K / 65.8 GB	11	7
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	22	4

Note: green Score (e.g. "73.2") means that the model is better than csabakecskemeti/qwq-32b_chat_brainstorm-v3.2.