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

Qwen2.5 32B Snegs requires approximately 65.7 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 Qwen2.5 32B Snegs and how large is it?

Qwen2.5 32B Snegs is developed by Yobenboben, 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 Qwen2.5 32B Snegs?

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

Qwen2.5 32B Snegs by Yobenboben — VRAM 65.7GB, 40K context

Name: Qwen2.5 32B Snegs
Author: Yobenboben

Qwen2.5 32B Snegs is an open-source language model by Yobenboben. Features: 32b LLM, VRAM: 65.7GB, Context: 40K, Merged, LLM Explorer Score: 0.18.

Merged Model Arxiv:2408.07990 Base model:qwen/qwq-32b Base model:spow12/chatwaifu 32... Base model:trashpanda-org/qwq-... Base model:yobenboben/qwen2.5-... Conversational Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Yobenboben/Qwen2.5-32B-Snegs

Qwen2.5 32B Snegs Parameters and Internals

LLM Name	Qwen2.5 32B Snegs
Repository 🤗	https://huggingface.co/Yobenboben/Qwen2.5-32B-Snegs
Base Model(s)	QwQ 32B Yobenboben/Qwen2.5-32B-Juicy_Snowballs ChatWaifu 32B Reasoning QwQ 32B Snowdrop V0 Qwen/QwQ-32B Yobenboben/Qwen2.5-32B-Juicy_Snowballs spow12/ChatWaifu_32B_reasoning trashpanda-org/QwQ-32B-Snowdrop-v0
Merged Model	Yes
Model Size	32b
Required VRAM	65.7 GB
Updated	2026-07-24
Maintainer	Yobenboben
Model Type	qwen2
Model Files	5.0 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 1.9 GB: 14-of-14
Model Architecture	Qwen2ForCausalLM
Context Length	40960
Model Max Length	40960
Transformers Version	4.51.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151669
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2.5 32B Snegs 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
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Multi-Language Support and Translation

Best Alternatives to Qwen2.5 32B Snegs

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	14	17
Ultiima 32B	128K / 65.8 GB	11	7
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	12	4

Note: green Score (e.g. "73.2") means that the model is better than Yobenboben/Qwen2.5-32B-Snegs.