Who developed LittleKedi Tiny Base and how large is it?

LittleKedi Tiny Base is developed by edededdy, a model with 2m 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 LittleKedi Tiny Base?

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

LittleKedi Tiny Base by edededdy

Name: LittleKedi Tiny Base
Author: edededdy

LittleKedi Tiny Base is an open-source language model by edededdy. Features: 2m LLM, License: apache-2.0, LLM Explorer Score: 0.27.

Base Dataset:codeparrot/github-code... Dataset:huggingfacefw/fineweb-... Dataset:huggingfacetb/cosmoped... Dataset:huggingfacetb/finemath Dataset:huggingfacetb/smoltalk Deepseek En From-scratch Littlekedi Mixture-of-experts Mla Moe Multi-head-latent-attention Region:us Safetensors Tiny

Model Card on HF 🤗: https://huggingface.co/edededdy/LittleKedi-tiny-base

LittleKedi Tiny Base Parameters and Internals

LLM Name	LittleKedi Tiny Base
Repository 🤗	https://huggingface.co/edededdy/LittleKedi-tiny-base
Model Size	2m
Required VRAM	0 GB
Updated	2026-10-16
Maintainer	edededdy
Model Files	0.0 GB
Supported Languages	en
License	apache-2.0
Vocabulary Size	8192

Rank the LittleKedi Tiny Base 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

Quantized Models of the LittleKedi Tiny Base

Model	Likes	Downloads	VRAM
LittleKedi Tiny Instruct	0	79	0 GB