What are the hardware requirements for MediGuide QLoRA?

MediGuide QLoRA requires approximately 0.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed MediGuide QLoRA and how large is it?

MediGuide QLoRA is developed by rolmaxx, a model with 1.5b 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 MediGuide QLoRA?

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

MediGuide QLoRA by rolmaxx — VRAM 0.1GB

Name: MediGuide QLoRA
Author: rolmaxx

MediGuide QLoRA is an open-source language model by rolmaxx. Features: 1.5b LLM, VRAM: 0.1GB, Instruction-Based, LLM Explorer Score: 0.28.

Base model:adapter:qwen/qwen2.... Base model:qwen/qwen2.5-1.5b-i... Instruct Lora Medical Peft Qlora Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/rolmaxx/MediGuide-QLoRA

MediGuide QLoRA Parameters and Internals

LLM Name	MediGuide QLoRA
Repository 🤗	https://huggingface.co/rolmaxx/MediGuide-QLoRA
Base Model(s)	Qwen/Qwen2.5-1.5B-Instruct Qwen/Qwen2.5-1.5B-Instruct
Model Size	1.5b
Required VRAM	0.1 GB
Updated	2026-08-27
Maintainer	rolmaxx
Instruction-Based	Yes
Model Files	0.1 GB
Model Architecture	AutoModel
Is Biased	none
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	k_proj\|o_proj\|down_proj\|q_proj\|gate_proj\|up_proj\|v_proj
LoRA Alpha	32
LoRA Dropout	0.05
R Param	16

Rank the MediGuide QLoRA 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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Jenna V3 Qwen2 1.5 GGUF Q4	0K / 1 GB	29	0
Jenna V3 Qwen2 1.5 GGUF	0K / 3.1 GB	24	1