What are the hardware requirements for Kakaobrain Kogpt 6B 8bit?

Kakaobrain Kogpt 6B 8bit requires approximately 6.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Kakaobrain Kogpt 6B 8bit and how large is it?

Kakaobrain Kogpt 6B 8bit is developed by rycont, a model with 6b 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 Kakaobrain Kogpt 6B 8bit?

Kakaobrain Kogpt 6B 8bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Kakaobrain Kogpt 6B 8bit by rycont — VRAM 6.7GB

Name: Kakaobrain Kogpt 6B 8bit
Author: rycont

Kakaobrain Kogpt 6B 8bit is an open-source language model by rycont. Features: 6b LLM, VRAM: 6.7GB, Quantized, LLM Explorer Score: 0.07.

8-bit 8bit Endpoints compatible Gptj Pytorch Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/rycont/kakaobrain__kogpt-6b-8bit

Kakaobrain Kogpt 6B 8bit Parameters and Internals

LLM Name	Kakaobrain Kogpt 6B 8bit
Repository 🤗	https://huggingface.co/rycont/kakaobrain__kogpt-6b-8bit
Model Size	6b
Required VRAM	6.7 GB
Updated	2026-06-30
Maintainer	rycont
Model Type	gptj
Model Files	6.7 GB
Quantization Type	8bit
Model Architecture	GPTJForCausalLM
Transformers Version	4.29.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	[PAD]
Vocabulary Size	64512
Torch Data Type	float16
Activation Function	gelu_new

Rank the Kakaobrain Kogpt 6B 8bit capabilities

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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

Best Alternatives to Kakaobrain Kogpt 6B 8bit

Best Alternatives	Context / RAM	Downloads	Likes
Model	0K / 6.2 GB	11	0
...oduct NER GPT J 6B 4bit Merged	0K / 2.5 GB	12	0
...nese Novel GPT J 6B F16 Marisa	0K / 12.2 GB	4	3
GPT J 6B Skein 4bit 128g	0K / 4 GB	13	1
Pygmalion 6b Dev 4bit 128g	0K / 4 GB	8	121
GPT J 6B Alpaca Gpt4	0K / 24.3 GB	46	20
Pygmalion 6B 4bit 128g	0K / 4 GB	13	3
Dolly Shygmalion 6B 4bit 128g	0K / 4 GB	14	5
Pygmalion 6B 4bit 128g	0K / 4 GB	17	40
...O Pygway V8p4 Dev 6B 4bit 128g	0K / 4 GB	8	2

Note: green Score (e.g. "73.2") means that the model is better than rycont/kakaobrain__kogpt-6b-8bit.