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

ZYH LLM Qwen2.5 32B 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 ZYH LLM Qwen2.5 32B and how large is it?

ZYH LLM Qwen2.5 32B 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 ZYH LLM Qwen2.5 32B?

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

ZYH LLM Qwen2.5 32B by YOYO-AI — VRAM 65.7GB, 32K context

Name: ZYH LLM Qwen2.5 32B
Author: YOYO-AI

ZYH LLM Qwen2.5 32B is an open-source language model by YOYO-AI. Features: 32b LLM, VRAM: 65.7GB, Context: 32K, License: apache-2.0, Code Generating, LLM Explorer Score: 0.17.

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

Model Card on HF 🤗: https://huggingface.co/YOYO-AI/ZYH-LLM-Qwen2.5-32B

ZYH LLM Qwen2.5 32B Parameters and Internals

LLM Name	ZYH LLM Qwen2.5 32B
Repository 🤗	https://huggingface.co/YOYO-AI/ZYH-LLM-Qwen2.5-32B
Base Model(s)	Qwen/Qwen2.5-32B Qwen/Qwen2.5-32B-Instruct Qwen/Qwen2.5-Coder-32B-Instruct Qwen/Qwen2.5-Coder-32B Qwen/Qwen2.5-32B Qwen/Qwen2.5-32B-Instruct Qwen/Qwen2.5-Coder-32B-Instruct Qwen/Qwen2.5-Coder-32B
Model Size	32b
Required VRAM	65.7 GB
Updated	2025-03-20
Maintainer	YOYO-AI
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
Supported Languages	en zh
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.48.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151665
Torch Data Type	bfloat16
Errors	replace

Rank the ZYH LLM Qwen2.5 32B capabilities

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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 ZYH LLM Qwen2.5 32B

Best Alternatives	Context / RAM	Downloads	Likes
...y Qwen2.5coder 32B V24.1q 200K	195K / 65.8 GB	9	2
...2.5 Godzilla Coder V2 51B 128K	128K / 102.1 GB	8	1
Qwen2.5 32B YOYO V2	128K / 65.7 GB	11	1
QwQ Coder R1 Distill 32B	128K / 65.8 GB	8	0
Qwen2.5 32B YOYO MIX	128K / 65.7 GB	8	2
Qwen2.5 Coder 32B YOYO	128K / 65.8 GB	8	2
YOYO O1 32B V2	128K / 65.7 GB	6	3
QwQ Coder 32B	128K / 65.7 GB	10	7
QwQ Qwen2.5 Coder Instruct 32B	128K / 65.8 GB	43	0
Reasoning TIES Coder V1.1	128K / 65.7 GB	18	2

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