What are the hardware requirements for AIBio LoRA?

AIBio 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 AIBio LoRA and how large is it?

AIBio LoRA is developed by kcheung-inno, a model with 3b 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 AIBio LoRA?

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

AIBio LoRA by kcheung-inno — VRAM 0.1GB

Name: AIBio LoRA
Author: kcheung-inno

AIBio LoRA is an open-source language model by kcheung-inno. Features: 3b LLM, VRAM: 0.1GB, License: other, Instruction-Based, LLM Explorer Score: 0.28.

Adapter Base model:adapter:qwen/qwen2.... Base model:qwen/qwen2.5-3b-ins... Biostatistics Conversational Finetuned Instruct Lora Medical-research Peft Qlora Region:us Research-design Safetensors Sft

Model Card on HF 🤗: https://huggingface.co/kcheung-inno/AIBio-LoRA

AIBio LoRA Parameters and Internals

LLM Name	AIBio LoRA
Repository 🤗	https://huggingface.co/kcheung-inno/AIBio-LoRA
Base Model(s)	Qwen/Qwen2.5-3B-Instruct Qwen/Qwen2.5-3B-Instruct
Model Size	3b
Required VRAM	0.1 GB
Updated	2026-10-08
Maintainer	kcheung-inno
Instruction-Based	Yes
Model Files	0.1 GB
Model Architecture	Adapter
License	other
Model Max Length	131072
Is Biased	none
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	k_proj\|o_proj\|down_proj\|up_proj\|gate_proj\|v_proj\|q_proj
LoRA Alpha	32
LoRA Dropout	0.05
R Param	16
Errors	replace

Rank the AIBio 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

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