What are the hardware requirements for Gpt4 X Alpaca 13B Native 4bit 128g?

Gpt4 X Alpaca 13B Native 4bit 128g requires approximately 7.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gpt4 X Alpaca 13B Native 4bit 128g and how large is it?

Gpt4 X Alpaca 13B Native 4bit 128g is developed by anon8231489123, a model with 13b 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 Gpt4 X Alpaca 13B Native 4bit 128g?

Gpt4 X Alpaca 13B Native 4bit 128g is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gpt4 X Alpaca 13B Native 4bit 128g by anon8231489123 — VRAM 7.9GB

Name: Gpt4 X Alpaca 13B Native 4bit 128g
Author: anon8231489123

Gpt4 X Alpaca 13B Native 4bit 128g is an open-source language model by anon8231489123. Features: 13b LLM, VRAM: 7.9GB, Quantized, LLM Explorer Score: 0.08.

4bit Endpoints compatible Llama Pytorch Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/anon8231489123/gpt4-x-alpaca-13b-native-4bit-128g

Gpt4 X Alpaca 13B Native 4bit 128g Parameters and Internals

Model Type

quantized model

Additional Notes

Two different models are mentioned, with guidance to prefer the Cuda version at this time.

Training Details

Data Sources:

https://github.com/teknium1/GPTeacher

Release Notes

Version:

triton

Date:

unknown

Notes:

Initial version quantized on GPTQ-for-LLaMa commit 5955e9c67d9bfe8a8144ffbe853c2769f1e87cdd, currently incompatible with Oobabooga.

Version:

cuda

Date:

4/1

Notes:

ggml for Cuda model added, use Cuda model unless Triton branch becomes widely used.

LLM Name	Gpt4 X Alpaca 13B Native 4bit 128g
Repository 🤗	https://huggingface.co/anon8231489123/gpt4-x-alpaca-13b-native-4bit-128g
Model Size	13b
Required VRAM	7.9 GB
Updated	2026-07-26
Maintainer	anon8231489123
Model Type	llama
Model Files	8.1 GB 7.9 GB 0.0 GB
Quantization Type	4bit
Model Architecture	LLaMAForCausalLM
Model Max Length	512
Transformers Version	4.27.0.dev0
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32001
Torch Data Type	float32

Rank the Gpt4 X Alpaca 13B Native 4bit 128g capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
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Code Generation
Multi-Language Support and Translation

Best Alternatives to Gpt4 X Alpaca 13B Native 4bit 128g

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... X Alpaca 13B Native 4bit 128g	0K / 8.1 GB	10	2
Llama 13B 4bit Hf	0K / 7 GB	11	2
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... X Alpaca 13B Native 4bit 128g	0K / 7.9 GB	33	3
Llama 13B 3bit Gr128	0K / 5.9 GB	9	1
Llama 13B 4bit Gr128	0K / 7.5 GB	7	5
Llama 13B 3bit Gr128	0K / 5.9 GB	10	3
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Alpaca 13B	0K / 52.1 GB	73	108

Note: green Score (e.g. "73.2") means that the model is better than anon8231489123/gpt4-x-alpaca-13b-native-4bit-128g.