What are the hardware requirements for Llama 13B 4bit Alpaca?

Llama 13B 4bit Alpaca requires approximately 0.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 13B 4bit Alpaca and how large is it?

Llama 13B 4bit Alpaca is developed by TFLai, 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 Llama 13B 4bit Alpaca?

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

Llama 13B 4bit Alpaca by TFLai — VRAM 0.1GB

Name: Llama 13B 4bit Alpaca
Author: TFLai

Llama 13B 4bit Alpaca is an open-source language model by TFLai. Features: 13b LLM, VRAM: 0.1GB, Quantized, LLM Explorer Score: 0.08.

4bit Adapter Finetuned Lora Peft Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/TFLai/llama-13b-4bit-alpaca

Llama 13B 4bit Alpaca Parameters and Internals

Training Details

Methodology:

bitsandbytes quantization

LLM Name	Llama 13B 4bit Alpaca
Repository 🤗	https://huggingface.co/TFLai/llama-13b-4bit-alpaca
Model Size	13b
Required VRAM	0.1 GB
Updated	2026-07-30
Maintainer	TFLai
Model Files	0.1 GB
Quantization Type	4bit
Model Architecture	Adapter
Is Biased	none
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	q_proj\|v_proj
LoRA Alpha	32
LoRA Dropout	0.05
R Param	32

Rank the Llama 13B 4bit Alpaca 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 13B 4bit Alpaca

Best Alternatives	Context / RAM	Downloads	Likes
Storytelling V2 13B Lora	0K / 0.5 GB	8	7
Lmg V3 Lora	0K / 0.5 GB	4	2
Storytelling V1 13B Lora	0K / 0.5 GB	7	7
Minotaur Llama2 13B Qlora	0K / 1 GB	12	4
Minotaur Llama2 13B Qlora	0K / 1 GB	3	4
Llama 2 13B 4bit Alpaca Gpt4	0K / 0 GB	1	2
Alpaca Lora 13B 4bit	0K / 0 GB	0	1
Alpaca1337 13B 4bit	0K / 0 GB	0	4
Kimiko 13B	0K / 0.1 GB	0	30
Alpaca 13B Lora	0K / 0.1 GB	0	13

Note: green Score (e.g. "73.2") means that the model is better than TFLai/llama-13b-4bit-alpaca.