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

Qwen2.5 7B Instruct requires approximately 15.4 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 Instruct and how large is it?

Qwen2.5 7B Instruct is developed by RedHatAI, 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 Instruct?

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

Qwen2.5 7B Instruct by RedHatAI — VRAM 15.4GB, 32K context

Name: Qwen2.5 7B Instruct
Author: RedHatAI

Qwen2.5 7B Instruct is an open-source language model by RedHatAI. Features: 7b LLM, VRAM: 15.4GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.18.

Arxiv:2309.00071 Arxiv:2407.10671 Ar Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-7b-ins... Bg Conversational Cs Da De El En Es Fa Fi Fr He Id Instruct It Ja Ko Ms Nl Nld No Pl Pt Qwen Qwen2 Qwen2 5 Qwen2 5 instruct Region:us Ru Safetensors Sharded Sr Sv Tensorflow Th Tr Uk Ur Vi Zh Zsm

Model Card on HF 🤗: https://huggingface.co/RedHatAI/Qwen2.5-7B-Instruct

Qwen2.5 7B Instruct Parameters and Internals

LLM Name	Qwen2.5 7B Instruct
Repository 🤗	https://huggingface.co/RedHatAI/Qwen2.5-7B-Instruct
Base Model(s)	Qwen/Qwen2.5-7B-Instruct Qwen/Qwen2.5-7B-Instruct
Model Size	7b
Required VRAM	15.4 GB
Updated	2026-08-08
Maintainer	RedHatAI
Model Type	qwen2
Instruction-Based	Yes
Model Files	4.0 GB: 1-of-4 3.9 GB: 2-of-4 3.9 GB: 3-of-4 3.6 GB: 4-of-4
Supported Languages	zh en fr es pt de it ru ja ko vi th ar id tr fa nl pl cs he sv fi da el bg uk ur sr ms
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.43.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2.5 7B Instruct 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 Instruct

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 7B Instruct 1M	986K / 15.4 GB	52534	373
Rewnozom	986K / 30.5 GB	742	1
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

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