What are the hardware requirements for Satquery Qwen3vl Bigearthnet Txt Lora?

Satquery Qwen3vl Bigearthnet Txt 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 Satquery Qwen3vl Bigearthnet Txt Lora and how large is it?

Satquery Qwen3vl Bigearthnet Txt Lora is developed by aanandmodi, 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 Satquery Qwen3vl Bigearthnet Txt Lora?

Satquery Qwen3vl Bigearthnet Txt Lora is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Satquery Qwen3vl Bigearthnet Txt Lora by aanandmodi — VRAM 0.1GB

Name: Satquery Qwen3vl Bigearthnet Txt Lora
Author: aanandmodi

Satquery Qwen3vl Bigearthnet Txt Lora is an open-source language model by aanandmodi. Features: 2b LLM, VRAM: 0.1GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.29.

Adapter Base model:adapter:qwen/qwen3-... Base model:qwen/qwen3-vl-2b-in... Conversational Dataset:bifold-bigearthnetv2-0... Endpoints compatible Finetuned Image-captioning Image-text-to-text Instruct Lora Peft Qwen3-vl Region:us Remote-sensing Safetensors Visual-grounding Visual-question-answering

Model Card on HF 🤗: https://huggingface.co/aanandmodi/satquery-qwen3vl-bigearthnet-txt-lora

Satquery Qwen3vl Bigearthnet Txt Lora Parameters and Internals

LLM Name	Satquery Qwen3vl Bigearthnet Txt Lora
Repository 🤗	https://huggingface.co/aanandmodi/satquery-qwen3vl-bigearthnet-txt-lora
Base Model(s)	Qwen3 VL 2B Instruct Qwen/Qwen3-VL-2B-Instruct
Model Size	2b
Required VRAM	0.1 GB
Updated	2026-09-04
Maintainer	aanandmodi
Instruction-Based	Yes
Model Files	0.1 GB
Model Architecture	Adapter
License	apache-2.0
Model Max Length	262144
Is Biased	none
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	o_proj\|q_proj\|gate_proj\|up_proj\|down_proj\|k_proj\|v_proj
LoRA Alpha	32
LoRA Dropout	0.05
R Param	16
Errors	replace

Rank the Satquery Qwen3vl Bigearthnet Txt 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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