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

Llama 3 Taiwan 70B Instruct GPTQ requires approximately 39.8 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 GPTQ and how large is it?

Llama 3 Taiwan 70B Instruct GPTQ is developed by minyichen, 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 GPTQ?

Llama 3 Taiwan 70B Instruct GPTQ 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 GPTQ by minyichen — VRAM 39.8GB, 8K context

Name: Llama 3 Taiwan 70B Instruct GPTQ
Author: minyichen

Llama 3 Taiwan 70B Instruct GPTQ is an open-source language model by minyichen. Features: 70b LLM, VRAM: 39.8GB, Context: 8K, License: llama3, Quantized, Instruction-Based, LLM Explorer Score: 0.13.

4-bit Autotrain compatible Base model:quantized:yentingli... Base model:yentinglin/llama-3-... Conversational En Endpoints compatible Gptq Instruct Llama Llama-3 Quantized Region:us Safetensors Zh

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

Llama 3 Taiwan 70B Instruct GPTQ Parameters and Internals

Model Type

llama, text-generation

Additional Notes

The model was quantized by minyichen using GPTQ.

Supported Languages

zh (Native), en (Fluent)

LLM Name	Llama 3 Taiwan 70B Instruct GPTQ
Repository 🤗	https://huggingface.co/minyichen/Llama-3-Taiwan-70B-Instruct-GPTQ
Model Name	Llama-3-Taiwan-70B-Instruct
Model Creator	yentinglin
Base Model(s)	Llama 3 Taiwan 70B Instruct yentinglin/Llama-3-Taiwan-70B-Instruct
Model Size	70b
Required VRAM	39.8 GB
Updated	2025-09-23
Maintainer	minyichen
Model Type	llama
Instruction-Based	Yes
Model Files	39.8 GB
Supported Languages	zh en
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	LlamaForCausalLM
License	llama3
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

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

Best Alternatives	Context / RAM	Downloads	Likes
...B Instruct AutoRound GPTQ 4bit	128K / 39.9 GB	517	6
...B Instruct AutoRound GPTQ 4bit	128K / 39.9 GB	129	0
...ama 3.1 70B Instruct Gptq 4bit	128K / 39.9 GB	7	4
...ta Llama 3 70B Instruct Marlin	8K / 39.5 GB	141	6
Meta Llama 3 70B Instruct GPTQ	8K / 39.8 GB	905	16
Meta Llama 3 70B Instruct GPTQ	8K / 39.8 GB	763	19
...g Llama 3 70B Instruct GPTQ 4B	8K / 39.8 GB	6	0
...g Llama 3 70B Instruct GPTQ 8B	8K / 74.4 GB	3	1
...a Llama 3 70B Instruct GPTQ 8B	8K / 74.4 GB	17	0
...erkrautLM 70B Instruct GPTQ 8B	8K / 74.4 GB	4	1

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