What are the hardware requirements for Kiyo 65M?

Kiyo 65M requires approximately 0.1 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 Kiyo 65M and how large is it?

Kiyo 65M is developed by DedeProGames, a model with 135m 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 Kiyo 65M?

Kiyo 65M is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Kiyo 65M by DedeProGames — VRAM 0.1GB, 2K context

Name: Kiyo 65M
Author: DedeProGames

Kiyo 65M is an open-source language model by DedeProGames. Features: 135m LLM, VRAM: 0.1GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.33.

Base-model Base model:finetune:huggingfac... Base model:huggingfacetb/smoll... Conversational Dataset:huggingfacecode/stack-... Dataset:huggingfacefw/fineweb-... Dataset:huggingfacetb/finemath Dataset:mlfoundations/dclm-bas... En Endpoints compatible Kiyo Language-model Llama Pytorch Region:us Safetensors Smollm

Model Card on HF 🤗: https://huggingface.co/DedeProGames/Kiyo-65M

Kiyo 65M Parameters and Internals

LLM Name	Kiyo 65M
Repository 🤗	https://huggingface.co/DedeProGames/Kiyo-65M
Base Model(s)	SmolLM2 135M HuggingFaceTB/SmolLM2-135M
Model Size	135m
Required VRAM	0.1 GB
Updated	2026-09-05
Maintainer	DedeProGames
Model Type	llama
Model Files	0.1 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	5.16.1
Tokenizer Class	GPT2Tokenizer
Vocabulary Size	49152
Errors	replace

Rank the Kiyo 65M 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

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