What are the hardware requirements for Gpt4 X Alpaca?

Gpt4 X Alpaca requires approximately 52.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gpt4 X Alpaca and how large is it?

Gpt4 X Alpaca is developed by Selyam. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Gpt4 X Alpaca is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Name: Gpt4 X Alpaca
Author: Selyam

Gpt4 X Alpaca is an open-source language model by Selyam. Features: LLM, VRAM: 52.1GB, LLM Explorer Score: 0.06.

Model Type

text generation

Additional Notes

NO LORA

Training Details

Methodology:

Finetuned on GPT4's responses, for 3 epochs.

LLM Name	Gpt4 X Alpaca
Repository 🤗	https://huggingface.co/Selyam/gpt4-x-alpaca
Required VRAM	52.1 GB
Updated	2026-08-07
Maintainer	Selyam
Model Type	llama
Model Files	10.0 GB: 1-of-6 9.9 GB: 2-of-6 9.9 GB: 3-of-6 9.9 GB: 4-of-6 9.9 GB: 5-of-6 2.5 GB: 6-of-6 0.0 GB
Model Architecture	LLaMAForCausalLM
Model Max Length	512
Transformers Version	4.27.0.dev0
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32001
Torch Data Type	float32

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	Context / RAM	Downloads	Likes
Panther V1	2K / 0 GB	199	1
BigTranslate	0K / 26.5 GB	83	51
Toolpaca	0K / 52.1 GB	9	37
Toolpaca	0K / 52.1 GB	7	37
Guanaco Dumbdumb	0K / 0 GB	6	1
Llama13b 4bit V2	0K / 7 GB	9	5

Note: green Score (e.g. "73.2") means that the model is better than Selyam/gpt4-x-alpaca.