What are the hardware requirements for Pretrained Tiny Ko?

Pretrained Tiny Ko requires approximately 1 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 Pretrained Tiny Ko and how large is it?

Pretrained Tiny Ko is developed by minpeter, a model with 180.1m 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 Pretrained Tiny Ko?

Pretrained Tiny Ko is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Pretrained Tiny Ko by minpeter — VRAM 1GB, 2K context

Name: Pretrained Tiny Ko
Author: minpeter

Pretrained Tiny Ko is an open-source language model by minpeter. Features: 180.1m LLM, VRAM: 1GB, Context: 2K, LLM Explorer Score: 0.2.

Arxiv:1910.09700 Autotrain compatible Conversational Endpoints compatible Llama Region:us Safetensors Tensorboard

Model Card on HF 🤗: https://huggingface.co/minpeter/pretrained-tiny-ko

Pretrained Tiny Ko Parameters and Internals

LLM Name	Pretrained Tiny Ko
Repository 🤗	https://huggingface.co/minpeter/pretrained-tiny-ko
Model Size	180.1m
Required VRAM	1 GB
Updated	2025-06-09
Maintainer	minpeter
Model Type	llama
Model Files	1.0 GB 0.0 GB
Model Architecture	LlamaForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.51.3
Tokenizer Class	PreTrainedTokenizer
Padding Token	<finetune_pad>
Vocabulary Size	128268
Torch Data Type	float32

Rank the Pretrained Tiny Ko 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 Pretrained Tiny Ko

Best Alternatives	Context / RAM	Downloads	Likes
Test 544000	2K / 0.4 GB	9	0