What are the hardware requirements for Qwen2 Vl 2B Leaf Symptoms Lora?

Qwen2 Vl 2B Leaf Symptoms 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 Qwen2 Vl 2B Leaf Symptoms Lora and how large is it?

Qwen2 Vl 2B Leaf Symptoms Lora is developed by nallaworks, 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 Qwen2 Vl 2B Leaf Symptoms Lora?

Qwen2 Vl 2B Leaf Symptoms Lora is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2 Vl 2B Leaf Symptoms Lora by nallaworks — VRAM 0.1GB

Name: Qwen2 Vl 2B Leaf Symptoms Lora
Author: nallaworks

Qwen2 Vl 2B Leaf Symptoms Lora is an open-source language model by nallaworks. Features: 2b LLM, VRAM: 0.1GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.28.

Adapter Agriculture Base model:adapter:qwen/qwen2-... Base model:qwen/qwen2-vl-2b-in... Dataset:plantdoc Dataset:plantvillage En Finetuned Image-text-to-text Instruct Lora Peft Plant-disease Plantdoc Plantvillage Region:us Safetensors Vision Vision-language-model

Model Card on HF 🤗: https://huggingface.co/nallaworks/qwen2-vl-2b-leaf-symptoms-lora

Qwen2 Vl 2B Leaf Symptoms Lora Parameters and Internals

LLM Name	Qwen2 Vl 2B Leaf Symptoms Lora
Repository 🤗	https://huggingface.co/nallaworks/qwen2-vl-2b-leaf-symptoms-lora
Base Model(s)	Qwen2 VL 2B Instruct Qwen/Qwen2-VL-2B-Instruct
Model Size	2b
Required VRAM	0.1 GB
Updated	2026-11-06
Maintainer	nallaworks
Instruction-Based	Yes
Model Files	0.1 GB
Supported Languages	en
Model Architecture	Adapter
License	apache-2.0
Is Biased	none
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	q_proj\|v_proj\|up_proj\|k_proj\|o_proj\|down_proj\|gate_proj
LoRA Alpha	32
LoRA Dropout	0.05
R Param	16

Rank the Qwen2 Vl 2B Leaf Symptoms 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

Best Alternatives to Qwen2 Vl 2B Leaf Symptoms Lora

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Qwen3vl 2B Hico Lora	0K / 0.1 GB	20	1
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Vertex Math Vision	0K / 0.1 GB	29	0
Reflex Reason 2B	0K / 0.1 GB	42	1
...y Qwen3vl Bigearthnet Txt Lora	0K / 0.1 GB	59	1
Kokolok 2.0 Vision	0K / 0 GB	38	1
Gemma 2B JapaneseQA Instruct	0K / 2.1 GB	6	1
Gemma 2B It Fr	0K / 0 GB	6	2

Note: green Score (e.g. "73.2") means that the model is better than nallaworks/qwen2-vl-2b-leaf-symptoms-lora.