What are the hardware requirements for Monad?

Monad 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 Monad and how large is it?

Monad is developed by PleIAs, a model with 56.7m 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 Monad?

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

Monad by PleIAs — VRAM 0.1GB, 2K context

Name: Monad
Author: PleIAs

Monad is an open-source language model by PleIAs. Features: 56.7m LLM, VRAM: 0.1GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.25.

Conversational Dataset:pleias/synth En Endpoints compatible Llama Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/PleIAs/Monad

Monad Parameters and Internals

LLM Name	Monad
Repository 🤗	https://huggingface.co/PleIAs/Monad
Model Size	56.7m
Required VRAM	0.1 GB
Updated	2026-08-06
Maintainer	PleIAs
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	4.51.3
Tokenizer Class	PreTrainedTokenizer
Padding Token	[PAD]
Vocabulary Size	8192
Torch Data Type	bfloat16

Rank the Monad 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