What are the hardware requirements for Orca Platypus 13B Slerp?

Orca Platypus 13B Slerp requires approximately 26 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Orca Platypus 13B Slerp and how large is it?

Orca Platypus 13B Slerp is developed by arisin, 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 Platypus 13B Slerp?

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

Orca Platypus 13B Slerp by arisin — VRAM 26GB, 4K context

Name: Orca Platypus 13B Slerp
Author: arisin

Orca Platypus 13B Slerp is an open-source language model by arisin. Features: 13b LLM, VRAM: 26GB, Context: 4K, License: apache-2.0, Merged, LLM Explorer Score: 0.19.

Merged Model Garage-baind/platypus2-13b Llama Psmathur/orca mini v3 13b Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/arisin/orca-platypus-13B-slerp

Orca Platypus 13B Slerp Parameters and Internals

LLM Name	Orca Platypus 13B Slerp
Repository 🤗	https://huggingface.co/arisin/orca-platypus-13B-slerp
Merged Model	Yes
Model Size	13b
Required VRAM	26 GB
Updated	2026-08-05
Maintainer	arisin
Model Type	llama
Model Files	0.9 GB: 1-of-28 1.0 GB: 2-of-28 0.9 GB: 3-of-28 1.0 GB: 4-of-28 0.9 GB: 5-of-28 1.0 GB: 6-of-28 0.9 GB: 7-of-28 1.0 GB: 8-of-28 0.9 GB: 9-of-28 1.0 GB: 10-of-28 0.9 GB: 11-of-28 1.0 GB: 12-of-28 0.9 GB: 13-of-28 1.0 GB: 14-of-28 0.9 GB: 15-of-28 1.0 GB: 16-of-28 0.9 GB: 17-of-28 1.0 GB: 18-of-28 0.9 GB: 19-of-28 1.0 GB: 20-of-28 0.9 GB: 21-of-28 1.0 GB: 22-of-28 0.9 GB: 23-of-28 1.0 GB: 24-of-28 0.9 GB: 25-of-28 1.0 GB: 26-of-28 0.9 GB: 27-of-28 0.4 GB: 28-of-28
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.46.3
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	float16

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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

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