What are the hardware requirements for Aura V1 Lora?

Aura V1 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 Aura V1 Lora and how large is it?

Aura V1 Lora is developed by jhalakdev67dev, a model with 2b 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 Aura V1 Lora?

Aura V1 Lora is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Aura V1 Lora by jhalakdev67dev — VRAM 0.1GB

Name: Aura V1 Lora
Author: jhalakdev67dev

Aura V1 Lora is an open-source language model by jhalakdev67dev. Features: 2b LLM, VRAM: 0.1GB, License: apache-2.0, LLM Explorer Score: 0.28.

Adapter Agent Base model:adapter:sarvamai/sa... Base model:sarvamai/sarvam-1 Build-in-public Conversational En Finetuned Hi Hinglish Indian-ai Lora Peft Qlora Region:us Safetensors System-agent

Model Card on HF 🤗: https://huggingface.co/jhalakdev67dev/aura-v1-lora

Aura V1 Lora Parameters and Internals

LLM Name	Aura V1 Lora
Repository 🤗	https://huggingface.co/jhalakdev67dev/aura-v1-lora
Base Model(s)	sarvamai/sarvam-2b sarvamai/sarvam-2b
Model Size	2b
Required VRAM	0.1 GB
Updated	2026-09-26
Maintainer	jhalakdev67dev
Model Files	0.1 GB
Supported Languages	hi en
Model Architecture	Adapter
License	apache-2.0
Is Biased	none
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	up_proj\|q_proj\|down_proj\|o_proj\|v_proj\|gate_proj\|k_proj
LoRA Alpha	32
LoRA Dropout	0.05
R Param	16

Rank the Aura V1 Lora 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
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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