What are the hardware requirements for Alpaca Lora 30B?

Alpaca Lora 30B requires approximately 0.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Alpaca Lora 30B and how large is it?

Alpaca Lora 30B is developed by chansung, a model with 30b 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 Alpaca Lora 30B?

Alpaca Lora 30B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Alpaca Lora 30B by chansung — VRAM 0.2GB

Name: Alpaca Lora 30B
Author: chansung

Alpaca Lora 30B is an open-source language model by chansung. Features: 30b LLM, VRAM: 0.2GB, License: gpl-3.0, LLM Explorer Score: 0.06.

Adapter Alpaca Chat Dataset:yahma/alpaca-cleaned En Finetuned Llama Lora Region:us

Model Card on HF 🤗: https://huggingface.co/chansung/alpaca-lora-30b

Alpaca Lora 30B Parameters and Internals

Model Type

text2text-generation

Use Cases

Areas:

Research, Chatbot development, Text generation

Applications:

Customer service bots, Personal assistants, Interactive storytelling

Primary Use Cases:

Chatbot applications, Text-based interaction systems

Additional Notes

The model is trained to follow instructions and operates as a text-based chatbot.

Supported Languages

en (Primary)

Training Details

Data Sources:

yahma/alpaca-cleaned

Data Volume:

04/06/23 (Data processed up to this date)

Methodology:

instruction following fine-tuning with LoRA

Context Length:

512

Hardware Used:

8xA100(40G) DGX system

Model Architecture:

LoRA applied at [q_proj,k_proj,v_proj,o_proj]

Input Output

Input Format:

Text instructions

Accepted Modalities:

text

Output Format:

Text response

LLM Name	Alpaca Lora 30B
Repository 🤗	https://huggingface.co/chansung/alpaca-lora-30b
Model Size	30b
Required VRAM	0.2 GB
Updated	2026-08-08
Maintainer	chansung
Model Files	0.2 GB
Supported Languages	en
Model Architecture	Adapter
License	gpl-3.0
Is Biased	none
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	q_proj\|k_proj\|v_proj\|o_proj
LoRA Alpha	16
LoRA Dropout	0.05
R Param	16

Rank the Alpaca Lora 30B 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 Alpaca Lora 30B

Best Alternatives	Context / RAM	Downloads	Likes
...3.5 30B A3B Antislop FTPO LoRA	0K / 0.8 GB	7	1
...ans PersonalityEngine 30B LoRA	0K / 0.2 GB	0	1
...ans PersonalityEngine 30B LoRA	0K / 0.2 GB	0	1
SoTana 30B Lora 500000	0K / 0.1 GB	0	1
...cUnlocked Alpaca Half 30B LoRA	0K / 0.2 GB	0	9
Gpt4 Alpaca Lora 30B	0K / 0.2 GB	0	64
Saiga 30b Lora	0K / 0.2 GB	0	23
Tianpeng Lora 30B	0K / 0.2 GB	0	7
Baize Lora 30B	0K / 0.2 GB	0	34
KoAlpaca 30B LoRA	0K / 0.1 GB	0	4

Note: green Score (e.g. "73.2") means that the model is better than chansung/alpaca-lora-30b.