What are the hardware requirements for Tiny Ko 187M Base 250725?

Tiny Ko 187M Base 250725 requires approximately 0.4 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Tiny Ko 187M Base 250725 and how large is it?

Tiny Ko 187M Base 250725 is developed by minpeter, a model with 187m 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 Tiny Ko 187M Base 250725?

Tiny Ko 187M Base 250725 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Tiny Ko 187M Base 250725 by minpeter — VRAM 0.4GB, 8K context

Name: Tiny Ko 187M Base 250725
Author: minpeter

Tiny Ko 187M Base 250725 is an open-source language model by minpeter. Features: 187m LLM, VRAM: 0.4GB, Context: 8K, LLM Explorer Score: 0.19.

Arxiv:1910.09700 Endpoints compatible Llama Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/minpeter/tiny-ko-187m-base-250725

Tiny Ko 187M Base 250725 Parameters and Internals

LLM Name	Tiny Ko 187M Base 250725
Repository 🤗	https://huggingface.co/minpeter/tiny-ko-187m-base-250725
Model Size	187m
Required VRAM	0.4 GB
Updated	2026-07-23
Maintainer	minpeter
Model Type	llama
Model Files	0.4 GB 0.0 GB
Model Architecture	LlamaForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.54.0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|endoftext\|>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Tiny Ko 187M Base 250725 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 Tiny Ko 187M Base 250725

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Tiny Ko 187M Sft 250718	64K / 0.4 GB	24	1
Tiny Ko 187M Base 250718	8K / 0.4 GB	15	1
Llama 3 187M Instruct	8K / 0.7 GB	6	0