What are the hardware requirements for Kitten 110M?

Kitten 110M requires approximately 0.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Kitten 110M and how large is it?

Kitten 110M is developed by qikp, a model with 111m 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 Kitten 110M?

Kitten 110M is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Kitten 110M by qikp — VRAM 0.4GB

Name: Kitten 110M
Author: qikp

Kitten 110M is an open-source language model by qikp. Features: 111m LLM, VRAM: 0.4GB, License: apache-2.0, LLM Explorer Score: 0.22.

Base model:cerebras/cerebras-g... Base model:finetune:cerebras/c... Dataset:huggingfacetb/cosmoped... En Gpt2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/qikp/kitten-110m

Kitten 110M Parameters and Internals

LLM Name	Kitten 110M
Repository 🤗	https://huggingface.co/qikp/kitten-110m
Base Model(s)	Cerebras GPT 111M cerebras/Cerebras-GPT-111M
Model Size	111m
Required VRAM	0.4 GB
Updated	2026-07-29
Maintainer	qikp
Model Type	gpt2
Model Files	0.4 GB 0.0 GB
Supported Languages	en
Model Architecture	GPT2LMHeadModel
License	apache-2.0
Transformers Version	5.0.0
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	50257
Activation Function	gelu
Errors	replace

Rank the Kitten 110M 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 Kitten 110M

Best Alternatives	Context / RAM	Downloads	Likes
Testmodel	0K / 0.3 GB	93	1
111M	0K / 0.3 GB	47	2
Cerebras GPT 111M Instruction	0K / 0.4 GB	11	3
LaMini Cerebras 111M	0K / 0.5 GB	282	3