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

Qwen2.5 32B Qwq It Slerp requires approximately 65.7 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen2.5 32B Qwq It Slerp and how large is it?

Qwen2.5 32B Qwq It Slerp is developed by YOYO-AI, 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 Slerp?

Qwen2.5 32B Qwq It Slerp 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 Slerp by YOYO-AI — VRAM 65.7GB, 32K context

Name: Qwen2.5 32B Qwq It Slerp
Author: YOYO-AI

Qwen2.5 32B Qwq It Slerp is an open-source language model by YOYO-AI. Features: 32b LLM, VRAM: 65.7GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.17.

Base model:merge:qwen/qwen2.5-... Base model:merge:qwen/qwq-32b Base model:qwen/qwen2.5-32b-in... Base model:qwen/qwq-32b Conversational En Instruct Merge Qwen2 Region:us Safetensors Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/YOYO-AI/Qwen2.5-32B-qwq-it-slerp

Qwen2.5 32B Qwq It Slerp Parameters and Internals

LLM Name	Qwen2.5 32B Qwq It Slerp
Repository 🤗	https://huggingface.co/YOYO-AI/Qwen2.5-32B-qwq-it-slerp
Base Model(s)	Qwen/Qwen2.5-32B-Instruct QwQ 32B Qwen/Qwen2.5-32B-Instruct Qwen/QwQ-32B
Model Size	32b
Required VRAM	65.7 GB
Updated	2025-03-20
Maintainer	YOYO-AI
Model Type	qwen2
Instruction-Based	Yes
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
Supported Languages	en zh
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.49.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151665
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2.5 32B Qwq It Slerp 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

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...y Qwen2.5coder 32B V24.1q 200K	195K / 65.8 GB	9	2
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	28	17
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	22	4
Franqwenstein 35B	128K / 69.8 GB	5	8
ELYZA Thinking 1.0 Qwen 32B	128K / 65.8 GB	23	10
Archaeo 32B KTO	128K / 65.8 GB	19	4
Hamanasu Magnum QwQ 32B	128K / 65.8 GB	295	9
Qwen2.5 32B Gokgok Step3	128K / 65.7 GB	6	0
Openthaigpt R1 32B Instruct	128K / 65.8 GB	33	8
Qwen2.5 32B Dark Days Stage2	128K / 65.8 GB	9	0

Note: green Score (e.g. "73.2") means that the model is better than YOYO-AI/Qwen2.5-32B-qwq-it-slerp.