What are the hardware requirements for Orca 2 13B Pygmalion LoRA?

Orca 2 13B Pygmalion LoRA requires approximately 0.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Orca 2 13B Pygmalion LoRA and how large is it?

Orca 2 13B Pygmalion LoRA is developed by ricecake, a model with 13b 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 Orca 2 13B Pygmalion LoRA?

Orca 2 13B Pygmalion LoRA is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Orca 2 13B Pygmalion LoRA by ricecake — VRAM 0.5GB

Name: Orca 2 13B Pygmalion LoRA
Author: ricecake

Orca 2 13B Pygmalion LoRA is an open-source language model by ricecake. Features: 13b LLM, VRAM: 0.5GB, License: other, LLM Explorer Score: 0.1.

4-bit Base model:microsoft/orca-2-13... Base model:quantized:microsoft... Bitsandbytes Dataset:pygmalionai/pippa En Endpoints compatible Generated from trainer Llama Lora Region:us

Model Card on HF 🤗: https://huggingface.co/ricecake/Orca-2-13B-Pygmalion-LoRA

Orca 2 13B Pygmalion LoRA Parameters and Internals

Model Type

LoRA adapter

Additional Notes

This model's response was initially too short, prompting re-training.

Supported Languages

en (proficient)

Training Details

Data Sources:

PygmalionAI/PIPPA dataset

Methodology:

Fine-tuning using LoRA

LLM Name	Orca 2 13B Pygmalion LoRA
Repository 🤗	https://huggingface.co/ricecake/Orca-2-13B-Pygmalion-LoRA
Base Model(s)	Orca 2 13B microsoft/Orca-2-13b
Model Size	13b
Required VRAM	0.5 GB
Updated	2026-08-04
Maintainer	ricecake
Model Files	0.5 GB
Supported Languages	en
Model Architecture	AutoModelForCausalLM
License	other
Model Max Length	4096
Is Biased	none
Tokenizer Class	LlamaTokenizer
Padding Token	[PAD]
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	k_proj\|up_proj\|down_proj\|v_proj\|o_proj\|q_proj\|gate_proj
LoRA Alpha	16
LoRA Dropout	0.05
R Param	32

Rank the Orca 2 13B Pygmalion 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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ALMA 13B R	0K / 26 GB	8766	82
Small Tiny V1	0K / 0.1 GB	10	0
...ama2 13B No Robots Alpaca Lora	0K / 4 GB	58	11
Llava V1.5 13B S2 Lora	0K / 0.1 GB	9	2
Llama 2 13B Chat Hf GPT 4 80K	0K / 26 GB	63	0
Llava Chart 13b Lora	0K / 0.1 GB	4	2
ChartLlama 13B	0K / 0.1 GB	11	20
Leyley 13B Lora	0K / 4 GB	4	4
GTS Lewd 13B V0.2	0K / 52.3 GB	4	1
Testing Orca	0K / 0.5 GB	15	1

Note: green Score (e.g. "73.2") means that the model is better than ricecake/Orca-2-13B-Pygmalion-LoRA.