What are the hardware requirements for Orca Mini 13B?

Orca Mini 13B requires approximately 52.3 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Orca Mini 13B and how large is it?

Orca Mini 13B is developed by pankajmathur, 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 Mini 13B?

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

Orca Mini 13B by pankajmathur — VRAM 52.3GB, 2K context

Name: Orca Mini 13B
Author: pankajmathur

Orca Mini 13B is an open-source language model by pankajmathur. Features: 13b LLM, VRAM: 52.3GB, Context: 2K, License: cc-by-nc-sa-4.0, LLM Explorer Score: 0.08.

Arxiv:2306.02707 Dataset:psmathur/alpaca orca Dataset:psmathur/dolly-v2 orca Dataset:psmathur/wizardlm orca En Endpoints compatible Llama Model-index Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/pankajmathur/orca_mini_13b

Orca Mini 13B Parameters and Internals

Model Type

text generation

Use Cases

Applications:

Research applications, Designing text-generation tasks

Limitations:

This model can produce factually incorrect output, and should not be relied on to produce factually accurate information.

Additional Notes

The model is sensitive to input formats and may require tuning to adapt to specific applications.

Training Details

Data Sources:

WizardLM dataset ~70K, Alpaca dataset ~52K, Dolly-V2 dataset ~15K

Methodology:

Explain tuned using Orca Research Paper dataset construction approaches

Context Length:

1024

Training Time:

15 Hours

Hardware Used:

8x A100(80G) GPUs

Release Notes

Version:

1.0

Date:

2023-10-01

Notes:

Initial release of orca_mini_13b with fine-tuning on explain tuned datasets using Orca Research Paper methods.

LLM Name	Orca Mini 13b
Repository 🤗	https://huggingface.co/pankajmathur/orca_mini_13b
Model Size	13b
Required VRAM	52.3 GB
Updated	2026-08-02
Maintainer	pankajmathur
Model Type	llama
Model Files	4.9 GB: 1-of-11 5.0 GB: 2-of-11 5.0 GB: 3-of-11 5.0 GB: 4-of-11 5.0 GB: 5-of-11 4.8 GB: 6-of-11 4.8 GB: 7-of-11 4.8 GB: 8-of-11 5.0 GB: 9-of-11 5.0 GB: 10-of-11 3.0 GB: 11-of-11 4.9 GB: 1-of-11 5.0 GB: 2-of-11 5.0 GB: 3-of-11 5.0 GB: 4-of-11 5.0 GB: 5-of-11 4.8 GB: 6-of-11 4.8 GB: 7-of-11 4.8 GB: 8-of-11 5.0 GB: 9-of-11 5.0 GB: 10-of-11 3.0 GB: 11-of-11
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	cc-by-nc-sa-4.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.29.1
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	float32

Rank the Orca Mini 13B 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

Quantized Models of the Orca Mini 13B

Model	Likes	Downloads	VRAM
Orca Mini V3 13b	31	194	26 GB

Best Alternatives to Orca Mini 13B

Best Alternatives	Context / RAM	Downloads	Likes
Luminaura RP 13B	128K / 26 GB	9	1
Yarn Llama 2 13B 128K	128K / 26 GB	184	113
Agent Llama2 13B 80K	80K / 26.4 GB	5	0
Chat Llama2 13B 80K	80K / 52.8 GB	5	0
LongAlign 13B 64K	64K / 26 GB	96	13
LongAlign 13B 64K Base	64K / 26 GB	89	3
LongAlign 13B 64K	64K / 26 GB	11	13
LongAlign 13B 64K Base	64K / 26 GB	6	3
Openbuddy Llama2 13B V15p1 64K	64K / 26.1 GB	4	4
Openbuddy Llama2 13b64k V15	64K / 26.1 GB	12	2

Note: green Score (e.g. "73.2") means that the model is better than pankajmathur/orca_mini_13b.