What are the hardware requirements for KoT Platypus2 7B?

KoT Platypus2 7B 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 KoT Platypus2 7B and how large is it?

KoT Platypus2 7B 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 KoT Platypus2 7B?

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

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

Name: KoT Platypus2 7B
Author: kyujinpy

KoT Platypus2 7B 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.

Dataset:kyujinpy/kocot 2000 Endpoints compatible Ko Llama Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/kyujinpy/KoT-platypus2-7B

KoT Platypus2 7B Parameters and Internals

Model Type

text generation

Supported Languages

Korean (proficient)

Training Details

Data Sources:

kyujinpy/KoCoT_2000, kaist-ai/CoT-Collection

Context Length:

4096

Hardware Used:

A100 GPU 40GB, COLAB

Model Architecture:

Auto-regressive language model based on the LLaMA2 transformer architecture

Input Output

Input Format:

text only

Output Format:

text only

LLM Name	KoT Platypus2 7B
Repository 🤗	https://huggingface.co/kyujinpy/KoT-platypus2-7B
Model Size	7b
Required VRAM	13.7 GB
Updated	2026-07-23
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	ko
Model Architecture	LlamaForCausalLM
License	cc-by-nc-sa-4.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.33.3
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 KoT Platypus2 7B 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/KoT-platypus2-7B.