What are the hardware requirements for Lille 130M Base?

Lille 130M Base requires approximately 0.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Lille 130M Base and how large is it?

Lille 130M Base is developed by Nikity, a model with 130m 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 Lille 130M Base?

Lille 130M Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Lille 130M Base by Nikity — VRAM 0.5GB

Name: Lille 130M Base
Author: Nikity

Lille 130M Base is an open-source language model by Nikity. Features: 130m LLM, VRAM: 0.5GB, License: apache-2.0, LLM Explorer Score: 0.2.

Conversational Dataset:huggingfacefw/fineweb-... En Lille-130m Onnx Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Nikity/lille-130m-base

Lille 130M Base Parameters and Internals

LLM Name	Lille 130M Base
Repository 🤗	https://huggingface.co/Nikity/lille-130m-base
Model Size	130m
Required VRAM	0.5 GB
Updated	2026-08-08
Maintainer	Nikity
Model Type	lille-130m
Model Files	0.5 GB
Supported Languages	en
Model Architecture	LilleForCausalLM
License	apache-2.0
Model Max Length	512
Transformers Version	4.53.3
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|pad\|>
Vocabulary Size	32768
Torch Data Type	float32
Errors	replace

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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 Lille 130M Base

Model	Likes	Downloads	VRAM
Lille 130M Instruct Fp16	1	30	0 GB

Best Alternatives to Lille 130M Base

Best Alternatives	Context / RAM	Downloads	Likes
Lille 130M Instruct Fp16	0K / 0.5 GB	30	1