What are the hardware requirements for Qwen2.5 3B Instruct?

Qwen2.5 3B Instruct requires approximately 6.2 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 3B Instruct and how large is it?

Qwen2.5 3B Instruct is developed by Qwen, a model with 3b 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 3B Instruct?

Qwen2.5 3B Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 3B Instruct by Qwen — VRAM 6.2GB, 32K context

Name: Qwen2.5 3B Instruct
Author: Qwen

Qwen2.5 3B Instruct is an open-source language model by Qwen. Features: 3b LLM, VRAM: 6.2GB, Context: 32K, License: other, Instruction-Based, LLM Explorer Score: 0.37.

Arxiv:2407.10671 Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-3b Chat Conversational Deploy:azure En Endpoints compatible Instruct Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen2.5-3B-Instruct

Qwen2.5 3B Instruct Parameters and Internals

Model Type

Causal Language Models

Additional Notes

Qwen2.5 series offers models from 0.5 to 72 billion parameters, with enhanced capabilities in coding, math, instruction following, and multilingual support.

Supported Languages

English (Full), Others (Basic)

Training Details

Methodology:

Pretraining & Post-training with transformers using RoPE, SwiGLU, RMSNorm, Attention QKV bias and tied word embeddings.

Context Length:

32768

Model Architecture:

Transformers with RoPE, SwiGLU, RMSNorm, Attention QKV bias and tied word embeddings

LLM Name	Qwen2.5 3B Instruct
Repository 🤗	https://huggingface.co/Qwen/Qwen2.5-3B-Instruct
Base Model(s)	Qwen/Qwen2.5-3B Qwen/Qwen2.5-3B
Model Size	3b
Required VRAM	6.2 GB
Updated	2026-08-03
Maintainer	Qwen
Model Type	qwen2
Instruction-Based	Yes
Model Files	4.0 GB: 1-of-2 2.2 GB: 2-of-2
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	other
Context Length	32768
Model Max Length	32768
Transformers Version	4.43.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2.5 3B 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 3B Instruct

Model	Likes	Downloads	VRAM
Boomslang	1	722	6 GB
Nexai V2	1	72	2 GB
ProFAQLM 3B	2	51	0 GB
Aether 2.5	0	20	0 GB
Zenith 3B	3	190	6 GB
Coder GRPO 3B	7	298	6 GB
Qwen2.5 3B Instruct Heretic	1	565	6 GB
TethysAI Base Reasoning	0	55	6 GB
OpenCogito	0	779	6 GB
...5 3B Instruct Unsloth Bnb 4bit	6	85513	2 GB

Best Alternatives to Qwen2.5 3B Instruct

Best Alternatives	Context / RAM	Downloads	Likes
VibeThinker 3B	128K / 6.2 GB	52745	806
VibeThinker 3B	128K / 6.2 GB	361	0
Saba2 3B	128K / 6.2 GB	6	0
Tessa T1 3B	117K / 6.2 GB	10	5
UIGEN T1.5 3B	117K / 6.2 GB	7	1
Swarmhunter 3B	32K / 6.2 GB	321	1
SmallThinker 3B Preview	32K / 6.8 GB	30529	412
... Instruct Sheldon RLVR Math V1	32K / 6.2 GB	876	0
Zen Ingress 1 3B Sft Merged	32K / 6.2 GB	834	1
...in Anomaly Qwen2.5 3B Instruct	32K / 6.2 GB	196	1

Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen2.5-3B-Instruct.