What are the hardware requirements for Dumpling Qwen2.5 32B V2?

Dumpling Qwen2.5 32B V2 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 Dumpling Qwen2.5 32B V2 and how large is it?

Dumpling Qwen2.5 32B V2 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 Dumpling Qwen2.5 32B V2?

Dumpling Qwen2.5 32B V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Dumpling Qwen2.5 32B V2 by nbeerbower — VRAM 65.8GB, 128K context

Name: Dumpling Qwen2.5 32B V2
Author: nbeerbower

Dumpling Qwen2.5 32B V2 is an open-source language model by nbeerbower. Features: 32b LLM, VRAM: 65.8GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.17.

Base model:finetune:nbeerbower... Base model:nbeerbower/rombos-e... Conversational Dataset:antiven0m/physical-rea... Dataset:atsunori/helpsteer2-dp... Dataset:flammenai/date-dpo-noa... Dataset:flammenai/prude-phi3-d... Dataset:jondurbin/gutenberg-dp... Dataset:jondurbin/truthy-dpo-v... Dataset:nbeerbower/arkhaios-dp... Dataset:nbeerbower/greatfirewa... Dataset:nbeerbower/gutenberg-m... Dataset:nbeerbower/gutenberg2-... Dataset:nbeerbower/purpura-dpo Dataset:nbeerbower/schule-dpo Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/nbeerbower/Dumpling-Qwen2.5-32B-v2

Dumpling Qwen2.5 32B V2 Parameters and Internals

LLM Name	Dumpling Qwen2.5 32B V2
Repository 🤗	https://huggingface.co/nbeerbower/Dumpling-Qwen2.5-32B-v2
Base Model(s)	nbeerbower/Rombos-EVAGutenberg-TIES-Qwen2.5-32B nbeerbower/Rombos-EVAGutenberg-TIES-Qwen2.5-32B
Model Size	32b
Required VRAM	65.8 GB
Updated	2026-08-04
Maintainer	nbeerbower
Model Type	qwen2
Model Files	4.9 GB: 1-of-14 4.9 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 2.1 GB: 14-of-14
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.48.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Dumpling Qwen2.5 32B V2 capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
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Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Dumpling Qwen2.5 32B V2

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 nbeerbower/Dumpling-Qwen2.5-32B-v2.