What are the hardware requirements for Alpaca Adapter 30B 4bit?

Alpaca Adapter 30B 4bit requires approximately 0.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Alpaca Adapter 30B 4bit and how large is it?

Alpaca Adapter 30B 4bit is developed by wyklq, 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 Adapter 30B 4bit?

Alpaca Adapter 30B 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Alpaca Adapter 30B 4bit by wyklq — VRAM 0.1GB

Name: Alpaca Adapter 30B 4bit
Author: wyklq

Alpaca Adapter 30B 4bit is an open-source language model by wyklq. Features: 30b LLM, VRAM: 0.1GB, License: other, Quantized, LLM Explorer Score: 0.07.

4bit Adapter Finetuned Lora Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/wyklq/alpaca-adapter-30b-4bit

Alpaca Adapter 30B 4bit Parameters and Internals

Model Type

finetuned model

Training Details

Data Sources:

Alpaca dataset

Data Volume:

50 records

Methodology:

LoRA (Low-Rank Adaptation)

Model Architecture:

LLM (Large Language Model)

LLM Name	Alpaca Adapter 30B 4bit
Repository 🤗	https://huggingface.co/wyklq/alpaca-adapter-30b-4bit
Model Size	30b
Required VRAM	0.1 GB
Updated	2026-06-27
Maintainer	wyklq
Model Files	0.1 GB
Quantization Type	4bit
Model Architecture	Adapter
License	other
Is Biased	none
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	q_proj\|v_proj
LoRA Alpha	16
LoRA Dropout	0.05
R Param	8

Rank the Alpaca Adapter 30B 4bit 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

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Note: green Score (e.g. "73.2") means that the model is better than wyklq/alpaca-adapter-30b-4bit.