What are the hardware requirements for Phi Medmcqa Question Generation Pharmacology Lora?

Phi Medmcqa Question Generation Pharmacology Lora requires approximately 5.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Where can I download or evaluate Phi Medmcqa Question Generation Pharmacology Lora?

Phi Medmcqa Question Generation Pharmacology Lora is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Phi Medmcqa Question Generation Pharmacology Lora by emilykang — VRAM 5.6GB

Name: Phi Medmcqa Question Generation Pharmacology Lora
Author: emilykang

Phi Medmcqa Question Generation Pharmacology Lora is an open-source language model by emilykang. Features: 2.8b LLM, VRAM: 5.6GB, License: mit, LLM Explorer Score: 0.12.

Adapter Base model:adapter:microsoft/p... Base model:microsoft/phi-2 Dataset:generator Finetuned Generated from trainer Lora Peft Phi Region:us Safetensors Sft Sharded Tensorflow Trl

Model Card on HF 🤗: https://huggingface.co/emilykang/Phi_medmcqa_question_generation-pharmacology_lora

Phi Medmcqa Question Generation Pharmacology Lora Parameters and Internals

Training Details

Data Sources:

generator

Methodology:

fine-tuning

LLM Name	Phi Medmcqa Question Generation Pharmacology Lora
Repository 🤗	https://huggingface.co/emilykang/Phi_medmcqa_question_generation-pharmacology_lora
Base Model(s)	Phi 2 microsoft/phi-2
Model Size	2.8b
Required VRAM	5.6 GB
Updated	2026-07-23
Maintainer	emilykang
Model Files	0.0 GB 5.0 GB: 1-of-2 0.6 GB: 2-of-2 0.0 GB
Model Architecture	Adapter
License	mit
Model Max Length	2048
Is Biased	none
Tokenizer Class	CodeGenTokenizer
Padding Token	<\|endoftext\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	k_proj\|fc2\|fc1\|dense\|v_proj\|q_proj
LoRA Alpha	64
LoRA Dropout	0.05
R Param	16

Rank the Phi Medmcqa Question Generation Pharmacology 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

Best Alternatives to Phi Medmcqa Question Generation Pharmacology Lora

Best Alternatives	Context / RAM	Downloads	Likes
Pretype One	0K / 1.6 GB	103	2
Phi 2 Instruct	0K / 11.1 GB	124	33
Pythia 2.8B 4bit Alpaca	0K / 0 GB	0	1

Note: green Score (e.g. "73.2") means that the model is better than emilykang/Phi_medmcqa_question_generation-pharmacology_lora.