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

Qwen2.5 3B Instruct Hsb Dsb 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 Hsb Dsb and how large is it?

Qwen2.5 3B Instruct Hsb Dsb is developed by tartuNLP, 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 Hsb Dsb?

Qwen2.5 3B Instruct Hsb Dsb 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 Hsb Dsb by tartuNLP — VRAM 6.2GB, 32K context

Name: Qwen2.5 3B Instruct Hsb Dsb
Author: tartuNLP

Qwen2.5 3B Instruct Hsb Dsb is an open-source language model by tartuNLP. Features: 3b LLM, VRAM: 6.2GB, Context: 32K, License: other, Instruction-Based, LLM Explorer Score: 0.19.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-3b-ins... Conversational Dataset:ai2-adapt-dev/flan v2 ... Dataset:coherelabs/aya dataset Dataset:huggingfacefw/fineweb-... Dataset:magpie-align/magpie-ll... Dataset:openassistant/oasst2 Dataset:utter-project/eurobloc... Dsb Endpoints compatible Hsb Instruct Qwen2 Region:us Safetensors Sharded Tensorflow

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

Qwen2.5 3B Instruct Hsb Dsb Parameters and Internals

LLM Name	Qwen2.5 3B Instruct Hsb Dsb
Repository 🤗	https://huggingface.co/tartuNLP/Qwen2.5-3B-Instruct-hsb-dsb
Base Model(s)	Qwen/Qwen2.5-3B-Instruct Qwen/Qwen2.5-3B-Instruct
Model Size	3b
Required VRAM	6.2 GB
Updated	2026-08-29
Maintainer	tartuNLP
Model Type	qwen2
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 1.2 GB: 2-of-2
Model Architecture	Qwen2ForCausalLM
License	other
Context Length	32768
Model Max Length	32768
Transformers Version	4.52.4
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2.5 3B Instruct Hsb Dsb 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 3B Instruct Hsb Dsb

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
Qwen2.5 3B Instruct	32K / 6.2 GB	5889234	545
PrismaCoder 3B	32K / 6.2 GB	536	1
Pycoder 3B	32K / 6.3 GB	324	0
King AI Chat V3.0	32K / 6.2 GB	487	1
SmallThinker 3B Preview	32K / 6.8 GB	30529	412

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