What are the hardware requirements for Waiter 1B Lora?

Waiter 1B Lora requires approximately 0.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Waiter 1B Lora and how large is it?

Waiter 1B Lora is developed by adisyonist, a model with 1b 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 Waiter 1B Lora?

Waiter 1B Lora is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Waiter 1B Lora by adisyonist — VRAM 0.1GB

Name: Waiter 1B Lora
Author: adisyonist

Waiter 1B Lora is an open-source language model by adisyonist. Features: 1b LLM, VRAM: 0.1GB, LLM Explorer Score: 0.28.

Base model:adapter:google/gemm... Base model:google/gemma-3-1b-i... Conversational Lora Peft Region:us Safetensors Sft Trl

Model Card on HF 🤗: https://huggingface.co/adisyonist/waiter-1B-lora

Waiter 1B Lora Parameters and Internals

LLM Name	Waiter 1B Lora
Repository 🤗	https://huggingface.co/adisyonist/waiter-1B-lora
Model Name	waiter-1B-lora
Base Model(s)	Gemma 3 1B It google/gemma-3-1b-it
Model Size	1b
Required VRAM	0.1 GB
Updated	2026-08-30
Maintainer	adisyonist
Model Files	0.1 GB 0.0 GB
Model Architecture	AutoModel
Is Biased	none
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	q_proj\|v_proj\|k_proj\|o_proj\|up_proj\|gate_proj\|down_proj
LoRA Alpha	64
LoRA Dropout	0.05
R Param	32

Rank the Waiter 1B Lora 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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