What are the hardware requirements for QwQ 32B Snowdrop V0?

QwQ 32B Snowdrop V0 requires approximately 65.7 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 32B Snowdrop V0 and how large is it?

QwQ 32B Snowdrop V0 is developed by trashpanda-org, 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 Snowdrop V0?

QwQ 32B Snowdrop V0 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

QwQ 32B Snowdrop V0 by trashpanda-org — VRAM 65.7GB, 128K context

Name: QwQ 32B Snowdrop V0
Author: trashpanda-org

QwQ 32B Snowdrop V0 is an open-source language model by trashpanda-org. Features: 32b LLM, VRAM: 65.7GB, Context: 128K, LLM Explorer Score: 0.18.

Arxiv:2306.01708 Base model:merge:qwen/qwen2.5-... Base model:merge:qwen/qwq-32b Base model:merge:trashpanda-or... Base model:qwen/qwen2.5-32b Base model:qwen/qwq-32b Base model:trashpanda-org/qwen... Base model:trashpanda-org/qwen... Conversational Endpoints compatible Merge Mergekit Mergekitty Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/trashpanda-org/QwQ-32B-Snowdrop-v0

QwQ 32B Snowdrop V0 Parameters and Internals

LLM Name	QwQ 32B Snowdrop V0
Repository 🤗	https://huggingface.co/trashpanda-org/QwQ-32B-Snowdrop-v0
Base Model(s)	trashpanda-org/Qwen2.5-32B-Marigold-v0 QwQ 32B Qwen/Qwen2.5-32B trashpanda-org/Qwen2.5-32B-Marigold-v0-exp trashpanda-org/Qwen2.5-32B-Marigold-v0 Qwen/QwQ-32B Qwen/Qwen2.5-32B trashpanda-org/Qwen2.5-32B-Marigold-v0-exp
Model Size	32b
Required VRAM	65.7 GB
Updated	2026-07-15
Maintainer	trashpanda-org
Model Type	qwen2
Model Files	9.9 GB: 1-of-7 9.8 GB: 2-of-7 9.8 GB: 3-of-7 9.8 GB: 4-of-7 9.8 GB: 5-of-7 9.8 GB: 6-of-7 6.8 GB: 7-of-7
Model Architecture	Qwen2ForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.49.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151665
Torch Data Type	bfloat16
Errors	replace

Rank the QwQ 32B Snowdrop V0 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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 Snowdrop V0

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 trashpanda-org/QwQ-32B-Snowdrop-v0.