What are the hardware requirements for Taiwan LLaMa V1.0?

Taiwan LLaMa V1.0 requires approximately 26 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Taiwan LLaMa V1.0 and how large is it?

Taiwan LLaMa V1.0 is developed by yentinglin. 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 Taiwan LLaMa V1.0?

Taiwan LLaMa V1.0 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Taiwan LLaMa V1.0 by yentinglin — VRAM 26GB, 4K context

Name: Taiwan LLaMa V1.0
Author: yentinglin

Taiwan LLaMa V1.0 is an open-source language model by yentinglin. Features: LLM, VRAM: 26GB, Context: 4K, License: llama2, Instruction-Based, LLM Explorer Score: 0.08.

Arxiv:2311.17487 Conversational Dataset:yentinglin/traditional... Dataset:yentinglin/zh tw c4 Endpoints compatible Instruct Llama Pytorch Region:us Sharded Zh

Model Card on HF 🤗: https://huggingface.co/yentinglin/Taiwan-LLaMa-v1.0

Taiwan LLaMa V1.0 Parameters and Internals

LLM Name	Taiwan LLaMa V1.0
Repository 🤗	https://huggingface.co/yentinglin/Taiwan-LLaMa-v1.0
Required VRAM	26 GB
Updated	2026-05-03
Maintainer	yentinglin
Model Type	llama
Instruction-Based	Yes
Model Files	9.9 GB: 1-of-3 9.9 GB: 2-of-3 6.2 GB: 3-of-3
Supported Languages	zh
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	4096
Model Max Length	4096
Transformers Version	4.28.1
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Taiwan LLaMa V1.0 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

Best Alternatives to Taiwan LLaMa V1.0

Best Alternatives	Context / RAM	Downloads	Likes
Reverse Instruct	32K / 27 GB	8	3
Etri Ones Solar	4K / 42.9 GB	50	0
Phi 3 Orpo V8.16	4K / 7.6 GB	7	0
Tinyllama Python	4K / 2.2 GB	13	2
Small Instruct	4K / 2.9 GB	10	1
Taiwan LLaMa V0.0	4K / 26 GB	14	1
Taiwan LLaMa V0.9	4K / 26 GB	13	0
Llama2 Ja Small Instruct	2K / 1.7 GB	5	1
Kolong Llama V0.1	2K / 13.7 GB	7	0
...ama Miniguanaco Instruct 121v2	2K / 2.2 GB	11	0

Note: green Score (e.g. "73.2") means that the model is better than yentinglin/Taiwan-LLaMa-v1.0.