What are the hardware requirements for Qwen3.8 27B Leaf Symptoms Lora?

Qwen3.8 27B Leaf Symptoms Lora requires approximately 0.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.8 27B Leaf Symptoms Lora and how large is it?

Qwen3.8 27B Leaf Symptoms Lora is developed by nallaworks, a model with 27b 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 Qwen3.8 27B Leaf Symptoms Lora?

Qwen3.8 27B Leaf Symptoms Lora is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.8 27B Leaf Symptoms Lora by nallaworks — VRAM 0.4GB

Name: Qwen3.8 27B Leaf Symptoms Lora
Author: nallaworks

Qwen3.8 27B Leaf Symptoms Lora is an open-source language model by nallaworks. Features: 27b LLM, VRAM: 0.4GB, License: apache-2.0, LLM Explorer Score: 0.28.

Adapter Agriculture Base model:adapter:qwen/qwen3.... Base model:qwen/qwen3.8-27b Dataset:plantdoc Dataset:plantvillage En Finetuned Image-text-to-text Lora Peft Plant-disease Plantdoc Plantvillage Region:us Safetensors Vision Vision-language-model

Model Card on HF 🤗: https://huggingface.co/nallaworks/qwen3.8-27b-leaf-symptoms-lora

Qwen3.8 27B Leaf Symptoms Lora Parameters and Internals

LLM Name	Qwen3.8 27B Leaf Symptoms Lora
Repository 🤗	https://huggingface.co/nallaworks/qwen3.8-27b-leaf-symptoms-lora
Base Model(s)	Qwen/Qwen3.8-27B Qwen/Qwen3.8-27B
Model Size	27b
Required VRAM	0.4 GB
Updated	2026-11-06
Maintainer	nallaworks
Model Files	0.4 GB
Supported Languages	en
Model Architecture	Adapter
License	apache-2.0
Is Biased	none
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	m\|o\|d\|e\|l\|\\|.\|l\|a\|n\|g\|u\|a\|g\|e\|_\|m\|o\|d\|e\|l\|\\|.\|l\|a\|y\|e\|r\|s\|\\|.\|\\|d\|+\|\\|.\|(\|s\|e\|l\|f\|_\|a\|t\|t\|n\|\\|.\|[\|q\|k\|v\|o\|]\|_\|p\|r\|o\|j\|\|\|l\|i\|n\|e\|a\|r\|_\|a\|t\|t\|n\|\\|.\|(\|i\|n\|_\|p\|r\|o\|j\|_\|q\|k\|v\|\|\|i\|n\|_\|p\|r\|o\|j\|_\|z\|\|\|o\|u\|t\|_\|p\|r\|o\|j\|)\|\|\|m\|l\|p\|\\|.\|(\|g\|a\|t\|e\|\|\|u\|p\|\|\|d\|o\|w\|n\|)\|_\|p\|r\|o\|j\|)
LoRA Alpha	32
LoRA Dropout	0.05
R Param	16

Rank the Qwen3.8 27B 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 Qwen3.8 27B Leaf Symptoms Lora

Best Alternatives	Context / RAM	Downloads	Likes
B.R.O Abliterated 27B	0K / GB	543	1
MLRabbit 27B LoRA	0K / 0.3 GB	40	1
3dcodeverse Qwen3.8 27B Lora	0K / 0.5 GB	56	2
3dcodeverse Qwen3.6 27B Lora	0K / 0.5 GB	55	2
Herbert V0.5	0K / 0.9 GB	56	1
Qwen3.8 27B CuteHuman LoRA	0K / 0 GB	25	1
Jev Vision 27B	0K / 0.9 GB	59	2
Herbert V0.8	0K / 0.9 GB	38	1
Qwen3.8 27B MSVC9 Matcher LoRA	0K / 0.9 GB	18	2
Qwen3.8 27B Velocity	0K / 0.9 GB	83	1

Note: green Score (e.g. "73.2") means that the model is better than nallaworks/qwen3.8-27b-leaf-symptoms-lora.