What are the hardware requirements for Llama 3 Taiwan 70B Instruct?

Llama 3 Taiwan 70B Instruct requires approximately 141.9 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3 Taiwan 70B Instruct and how large is it?

Llama 3 Taiwan 70B Instruct is developed by yentinglin, a model with 70b 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 Taiwan 70B Instruct?

Llama 3 Taiwan 70B Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3 Taiwan 70B Instruct by yentinglin — VRAM 141.9GB, 8K context

Name: Llama 3 Taiwan 70B Instruct
Author: yentinglin

Llama 3 Taiwan 70B Instruct is an open-source language model by yentinglin. Features: 70b LLM, VRAM: 141.9GB, Context: 8K, License: llama3, Instruction-Based, LLM Explorer Score: 0.14.

Arxiv:2311.17487 Arxiv:2403.20180 Base model:finetune:meta-llama... Base model:meta-llama/meta-lla... Conversational En Endpoints compatible Instruct Llama Region:us Safetensors Sharded Tensorflow Zh Zhtw

Model Card on HF 🤗: https://huggingface.co/yentinglin/Llama-3-Taiwan-70B-Instruct

Llama 3 Taiwan 70B Instruct Parameters and Internals

LLM Name	Llama 3 Taiwan 70B Instruct
Repository 🤗	https://huggingface.co/yentinglin/Llama-3-Taiwan-70B-Instruct
Base Model(s)	Meta Llama 3 70B meta-llama/Meta-Llama-3-70B
Model Size	70b
Required VRAM	141.9 GB
Updated	2026-07-30
Maintainer	yentinglin
Model Type	llama
Instruction-Based	Yes
Model Files	4.6 GB: 1-of-30 4.7 GB: 2-of-30 5.0 GB: 3-of-30 5.0 GB: 4-of-30 4.7 GB: 5-of-30 4.7 GB: 6-of-30 4.7 GB: 7-of-30 5.0 GB: 8-of-30 5.0 GB: 9-of-30 4.7 GB: 10-of-30 4.7 GB: 11-of-30 4.7 GB: 12-of-30 5.0 GB: 13-of-30 5.0 GB: 14-of-30 4.7 GB: 15-of-30 4.7 GB: 16-of-30 4.7 GB: 17-of-30 5.0 GB: 18-of-30 5.0 GB: 19-of-30 4.7 GB: 20-of-30 4.7 GB: 21-of-30 4.7 GB: 22-of-30 5.0 GB: 23-of-30 5.0 GB: 24-of-30 4.7 GB: 25-of-30 4.7 GB: 26-of-30 4.7 GB: 27-of-30 5.0 GB: 28-of-30 5.0 GB: 29-of-30 2.1 GB: 30-of-30
Supported Languages	zh en
Model Architecture	LlamaForCausalLM
License	llama3
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3 Taiwan 70B 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 Llama 3 Taiwan 70B Instruct

Model	Likes	Downloads	VRAM
...ama 3 Taiwan 70B Instruct GPTQ	2	6	39 GB

Best Alternatives to Llama 3 Taiwan 70B Instruct

Best Alternatives	Context / RAM	Downloads	Likes
... Chat 1048K Chinese Llama3 70B	1024K / 141.9 GB	9069	5
... Chat 1048K Chinese Llama3 70B	1024K / 141.9 GB	7684	4
... 3 70B Instruct Gradient 1048K	1024K / 141.9 GB	22	122
Llama3 Function Calling 1048K	1024K / 141.9 GB	5	1
...a 3 70B Instruct Gradient 524K	512K / 141.9 GB	24	23
...a 3 70B Instruct Gradient 262K	256K / 141.9 GB	20	56
...ama 3 70B Arimas Story RP V2.0	256K / 141.1 GB	10	3
...ama 3 70B Arimas Story RP V1.6	256K / 141.2 GB	5	0
...ama 3 70B Arimas Story RP V1.5	256K / 141.2 GB	21	3
Llama 3.1 70B Instruct	128K / 141.9 GB	813492	938

Note: green Score (e.g. "73.2") means that the model is better than yentinglin/Llama-3-Taiwan-70B-Instruct.