What are the hardware requirements for Qwen2.5 32B Qwq It Slerp2?

Qwen2.5 32B Qwq It Slerp2 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 Qwq It Slerp2 and how large is it?

Qwen2.5 32B Qwq It Slerp2 is developed by mergekit-community, 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 Qwq It Slerp2?

Qwen2.5 32B Qwq It Slerp2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 32B Qwq It Slerp2 by mergekit-community — VRAM 65.7GB, 40K context

Name: Qwen2.5 32B Qwq It Slerp2
Author: mergekit-community

Qwen2.5 32B Qwq It Slerp2 is an open-source language model by mergekit-community. Features: 32b LLM, VRAM: 65.7GB, Context: 40K, Merged, LLM Explorer Score: 0.17.

Merged Model Base model:qwen/qwen2.5-32b-in... Base model:qwen/qwq-32b Conversational Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mergekit-community/Qwen2.5-32B-qwq-it-slerp2

Qwen2.5 32B Qwq It Slerp2 Parameters and Internals

LLM Name	Qwen2.5 32B Qwq It Slerp2
Repository 🤗	https://huggingface.co/mergekit-community/Qwen2.5-32B-qwq-it-slerp2
Base Model(s)	Qwen/Qwen2.5-32B-Instruct QwQ 32B Qwen/Qwen2.5-32B-Instruct Qwen/QwQ-32B
Merged Model	Yes
Model Size	32b
Required VRAM	65.7 GB
Updated	2026-07-16
Maintainer	mergekit-community
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	4.49.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151669
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2.5 32B Qwq It Slerp2 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 Qwen2.5 32B Qwq It Slerp2

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 mergekit-community/Qwen2.5-32B-qwq-it-slerp2.