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

Qwen2.5 3B Instruct Indonesian QLoRA 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 Indonesian QLoRA and how large is it?

Qwen2.5 3B Instruct Indonesian QLoRA is developed by antonius-vincent, 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 Indonesian QLoRA?

Qwen2.5 3B Instruct Indonesian QLoRA 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 Indonesian QLoRA by antonius-vincent — VRAM 6.2GB, 32K context

Name: Qwen2.5 3B Instruct Indonesian QLoRA
Author: antonius-vincent

Qwen2.5 3B Instruct Indonesian QLoRA is an open-source language model by antonius-vincent. Features: 3b LLM, VRAM: 6.2GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.27.

4bit Base model:finetune:unsloth/qw... Base model:unsloth/qwen2.5-3b-... Conversational En Endpoints compatible Instruct Quantized Qwen2 Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/antonius-vincent/Qwen2.5-3B-Instruct-Indonesian-QLoRA

Qwen2.5 3B Instruct Indonesian QLoRA Parameters and Internals

LLM Name	Qwen2.5 3B Instruct Indonesian QLoRA
Repository 🤗	https://huggingface.co/antonius-vincent/Qwen2.5-3B-Instruct-Indonesian-QLoRA
Base Model(s)	unsloth/Qwen2.5-3B-Instruct-bnb-4bit unsloth/Qwen2.5-3B-Instruct-bnb-4bit
Model Size	3b
Required VRAM	6.2 GB
Updated	2026-07-27
Maintainer	antonius-vincent
Model Type	qwen2
Instruction-Based	Yes
Model Files	4.0 GB: 1-of-2 2.2 GB: 2-of-2
Supported Languages	en
Quantization Type	4bit
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	float16
Errors	replace

Rank the Qwen2.5 3B Instruct Indonesian QLoRA 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 Indonesian QLoRA

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Qwen2.5 3B Legal Sft	32K / 6.2 GB	269	0
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... Slm Finetuned Ratu Chairunisa	32K / 6.2 GB	79	0
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Qwen2.5 3B Legal Id Sft	32K / 6.2 GB	87	0
Qwen25 3B Alpaca Id Sft	32K / 6.2 GB	81	0
Qwen Legal Indo Sft	32K / 6.2 GB	74	0

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