What are the hardware requirements for Llama 3.2 Taiwan 3B Instruct?

Llama 3.2 Taiwan 3B Instruct requires approximately 6.5 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3.2 Taiwan 3B Instruct and how large is it?

Llama 3.2 Taiwan 3B Instruct is developed by DavidLanz, 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 Llama 3.2 Taiwan 3B Instruct?

Llama 3.2 Taiwan 3B Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3.2 Taiwan 3B Instruct by DavidLanz — VRAM 6.5GB, 128K context

Name: Llama 3.2 Taiwan 3B Instruct
Author: DavidLanz

Llama 3.2 Taiwan 3B Instruct is an open-source language model by DavidLanz. Features: 3b LLM, VRAM: 6.5GB, Context: 128K, License: llama3.2, Instruction-Based, LLM Explorer Score: 0.16.

Arxiv:2305.18290 Base model:finetune:lianghsun/... Base model:lianghsun/llama-3.2... Chat Conversational Dataset:davidlanz/taiwanchat Dataset:lianghsun/reasoning-ba... Dataset:lianghsun/tw-bar-exami... Dataset:lianghsun/tw-contract-... Dataset:lianghsun/tw-emergency... Dataset:lianghsun/tw-instruct Dataset:lianghsun/tw-judgment-... Dataset:lianghsun/tw-judgment-... Dataset:lianghsun/tw-law-artic... Dataset:lianghsun/tw-legal-nlp Dataset:lianghsun/tw-legal-syn... Dataset:lianghsun/tw-structure... Dataset:lianghsun/vulnerabilit... Dataset:minyichen/glaive toolc... Dataset:neural-bridge/rag-data... Dataset:rombodawg/everything i... Dataset:xzuyn/manythings-trans... De En Endpoints compatible Fr Instruct It Ja Ko Llama Llama3.2 Model-index Region:us Roc Safetensors Sharded Slm Taiwan Tensorflow Zh Zh-tw

Model Card on HF 🤗: https://huggingface.co/DavidLanz/Llama-3.2-Taiwan-3B-Instruct

Llama 3.2 Taiwan 3B Instruct Parameters and Internals

LLM Name	Llama 3.2 Taiwan 3B Instruct
Repository 🤗	https://huggingface.co/DavidLanz/Llama-3.2-Taiwan-3B-Instruct
Base Model(s)	meta-llama/Llama-3.2-3B lianghsun/Llama-3.2-Taiwan-3B meta-llama/Llama-3.2-3B lianghsun/Llama-3.2-Taiwan-3B
Model Size	3b
Required VRAM	6.5 GB
Updated	2026-08-25
Maintainer	DavidLanz
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 1.5 GB: 2-of-2
Supported Languages	zh en it de fr ja ko
Model Architecture	LlamaForCausalLM
License	llama3.2
Context Length	131072
Model Max Length	131072
Transformers Version	4.48.3
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3.2 Taiwan 3B 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

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Llama 3.2 3B Instruct	128K / 6.5 GB	1829572	2368
Llama 3.2 3B Instruct	128K / 6.5 GB	186207	96
Llama3.2 3B Manumit V1	128K / 6.4 GB	135	0
Llama 3.2 3B Instruct	128K / 6.5 GB	991	9
Alloma 3B Instruct	128K / 6.5 GB	55456	6
... V7 SFT 10voicebot Loopcleaned	128K / 6.5 GB	229	0
Llama 3.2 3B RP Toxic Fuse	128K / 6.4 GB	14	2
DeepSeek R1 Distill Llama 3B	128K / 6.5 GB	247	16
Schematron 3B	128K / 6.5 GB	969	336
ReasoningCore 3B T1 1	128K / 6.5 GB	8	1

Note: green Score (e.g. "73.2") means that the model is better than DavidLanz/Llama-3.2-Taiwan-3B-Instruct.