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 Qwen, 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 Qwen — VRAM 15.4GB, 32K context

Name: Qwen2.5 7B Instruct
Rating: 2 (1 reviews)
Author: Qwen

Qwen2.5 7B Instruct is an open-source language model by Qwen. Features: 7b LLM, VRAM: 15.4GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.42.

Arxiv:2309.00071 Arxiv:2407.10671 Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-7b Chat Conversational Deploy:azure Deploy:sagemaker En Endpoints compatible Eval-results Instruct Qwen2 Region:us Safetensors Sharded Tensorflow

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

Qwen2.5 7B Instruct Parameters and Internals

Model Type

Causal Language Models

Supported Languages

languages_supported (/- en ), proficiency (/multilingual support for over 29 languages, including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, Arabic, and more.)

Training Details

Methodology:

Pretraining & Post-training

Context Length:

131072

Model Architecture:

transformers with RoPE, SwiGLU, RMSNorm, and Attention QKV bias

LLM Name	Qwen2.5 7B Instruct
Repository 🤗	https://huggingface.co/Qwen/Qwen2.5-7B-Instruct
Base Model(s)	Qwen/Qwen2.5-7B Qwen/Qwen2.5-7B
Model Size	7b
Required VRAM	15.4 GB
Updated	2026-07-30
Maintainer	Qwen
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	en
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

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

Quantized Models of the Qwen2.5 7B Instruct

Model	Likes	Downloads	VRAM
Qwen2.5 7B Instruct Desyced	1	529	15 GB
Uraion Agent Steer	1	490	3 GB
Qwen2.5 7B Instruct AWQ	48	4511676	5 GB
Shellwhiz 7B	0	55	15 GB
Kyro N1 7B	6	12	15 GB
SphinX	1	32	15 GB
...5 7B Instruct Unsloth Bnb 4bit	1	98369	7 GB
Qwen2.5 7B Instruct Bnb 4bit	23	320822	5 GB
Qwen2.5 7B Instruct GPTQ Int4	33	269952	5 GB
FinancialAdvice Qwen2.5 7B	2	14	15 GB

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