What are the hardware requirements for KO Platypus2 7B Ex?

KO Platypus2 7B Ex requires approximately 13.7 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 KO Platypus2 7B Ex and how large is it?

KO Platypus2 7B Ex is developed by kyujinpy, a model with 7b 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 KO Platypus2 7B Ex?

KO Platypus2 7B Ex is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

KO Platypus2 7B Ex by kyujinpy — VRAM 13.7GB, 2K context

Name: KO Platypus2 7B Ex
Author: kyujinpy

KO Platypus2 7B Ex is an open-source language model by kyujinpy. Features: 7b LLM, VRAM: 13.7GB, Context: 2K, License: cc-by-nc-sa-4.0, LLM Explorer Score: 0.09.

Arxiv:2307.09288 Arxiv:2308.07317 Dataset:kyujinpy/kopen-platypu... Deploy:azure En Endpoints compatible Ko Llama Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/kyujinpy/KO-Platypus2-7B-ex

KO Platypus2 7B Ex Parameters and Internals

Model Type

text generation

Additional Notes

Model incorporates vocab expansion for Korean language.

Supported Languages

languages_supported (en, ko), language_proficiency ()

Training Details

Data Sources:

kyujinpy/KOpen-platypus, garage-bAInd/Open-Platypus

Methodology:

Vocab Expansion

Hardware Used:

A100 GPU 40GB, COLAB

Model Architecture:

auto-regressive language model based on the LLaMA2 transformer architecture.

Input Output

Input Format:

text only

Accepted Modalities:

text

Output Format:

text only

LLM Name	KO Platypus2 7B Ex
Repository 🤗	https://huggingface.co/kyujinpy/KO-Platypus2-7B-ex
Model Size	7b
Required VRAM	13.7 GB
Updated	2026-07-30
Maintainer	kyujinpy
Model Type	llama
Model Files	9.9 GB: 1-of-2 3.8 GB: 2-of-2 9.9 GB: 1-of-2 3.8 GB: 2-of-2
Supported Languages	en ko
Model Architecture	LlamaForCausalLM
License	cc-by-nc-sa-4.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.32.1
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	46336
Torch Data Type	float16

Rank the KO Platypus2 7B Ex 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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Note: green Score (e.g. "73.2") means that the model is better than kyujinpy/KO-Platypus2-7B-ex.