What are the hardware requirements for Qwen2.5 7B It Restore?

Qwen2.5 7B It Restore requires approximately 15.2 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 7B It Restore and how large is it?

Qwen2.5 7B It Restore is developed by YOYO-AI, a model with 7b 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 7B It Restore?

Qwen2.5 7B It Restore is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 7B It Restore by YOYO-AI — VRAM 15.2GB, 32K context

Name: Qwen2.5 7B It Restore
Author: YOYO-AI

Qwen2.5 7B It Restore is an open-source language model by YOYO-AI. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.27.

Base model:merge:qwen/qwen2.5-... Base model:merge:qwen/qwen2.5-... Base model:qwen/qwen2.5-7b Base model:qwen/qwen2.5-7b-ins... Conversational En Instruct Merge Qwen2 Region:us Safetensors Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/YOYO-AI/Qwen2.5-7B-it-restore

Qwen2.5 7B It Restore Parameters and Internals

LLM Name	Qwen2.5 7B It Restore
Repository 🤗	https://huggingface.co/YOYO-AI/Qwen2.5-7B-it-restore
Base Model(s)	Qwen/Qwen2.5-7B Qwen/Qwen2.5-7B-Instruct Qwen/Qwen2.5-7B Qwen/Qwen2.5-7B-Instruct
Model Size	7b
Required VRAM	15.2 GB
Updated	2026-07-24
Maintainer	YOYO-AI
Model Type	qwen2
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-4 4.9 GB: 2-of-4 5.0 GB: 3-of-4 0.3 GB: 4-of-4
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 7B It Restore 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 Qwen2.5 7B It Restore

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 7B Instruct 1M	986K / 15.4 GB	52534	373
Hush Qwen2.5 7B RP V1.4 1M	986K / 15.2 GB	10	2
Qwen2.5 7B RRP 1M	986K / 15.2 GB	5	6
Qwen2.5 7B CelestialHarmony 1M	986K / 14.8 GB	8	7
Q2.5 Instruct 1M Harmony	986K / 15.2 GB	4	2
Impish QWEN 7B 1M	986K / 15.2 GB	4	6
COCO 7B Instruct 1M	986K / 15.2 GB	9	4
Apollo 7B	986K / 15.2 GB	8	0
Graph R1 7B	986K / 15.3 GB	7	3
Qwen2.5 7B Sky R1 Mini	986K / 15.2 GB	6	0

Note: green Score (e.g. "73.2") means that the model is better than YOYO-AI/Qwen2.5-7B-it-restore.