What are the hardware requirements for LLaDA 100M Test?

LLaDA 100M Test requires approximately 1.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed LLaDA 100M Test and how large is it?

LLaDA 100M Test is developed by Fredtt3, a model with 100m 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 LLaDA 100M Test?

LLaDA 100M Test is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

LLaDA 100M Test by Fredtt3 — VRAM 1.2GB

Name: LLaDA 100M Test
Author: Fredtt3

LLaDA 100M Test is an open-source language model by Fredtt3. Features: 100m LLM, VRAM: 1.2GB, LLM Explorer Score: 0.19.

Conversational Custom code Dataset:fredtt3/llada-sample-1... Dataset:fredtt3/llada-sample-e... En Es Llada Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Fredtt3/LLaDA-100M-Test

LLaDA 100M Test Parameters and Internals

LLM Name	LLaDA 100M Test
Repository 🤗	https://huggingface.co/Fredtt3/LLaDA-100M-Test
Model Size	100m
Required VRAM	1.2 GB
Updated	2026-06-04
Maintainer	Fredtt3
Model Type	llada
Model Files	1.2 GB
Supported Languages	en es
Model Architecture	LLaDAModelLM
Transformers Version	4.54.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|endoftext\|>
Vocabulary Size	126464
Torch Data Type	float32

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Best Alternatives to LLaDA 100M Test

Best Alternatives	Context / RAM	Downloads	Likes
LLaDA 100M Test	0K / 1.2 GB	34	1

Note: green Score (e.g. "73.2") means that the model is better than Fredtt3/LLaDA-100M-Test.