What are the hardware requirements for Guppylm 9M?

Guppylm 9M requires a context window of 0.1K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Guppylm 9M and how large is it?

Guppylm 9M is developed by arman-bd, a model with 9m 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 Guppylm 9M?

Guppylm 9M is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Guppylm 9M by arman-bd — 0.1K context

Name: Guppylm 9M
Author: arman-bd

Guppylm 9M is an open-source language model by arman-bd. Features: 9m LLM, Context: 0.1K, License: mit, LLM Explorer Score: 0.24.

Character Doi:10.57967/hf/8269 En Fish From-scratch Guppylm Onnx Pytorch Region:us Tiny-llm

Model Card on HF 🤗: https://huggingface.co/arman-bd/guppylm-9M

Guppylm 9M Parameters and Internals

LLM Name	Guppylm 9M
Repository 🤗	https://huggingface.co/arman-bd/guppylm-9M
Model Size	9m
Required VRAM	0 GB
Updated	2026-07-18
Maintainer	arman-bd
Model Type	guppylm
Model Files	0.0 GB
Supported Languages	en
Model Architecture	GuppyLM
License	mit
Context Length	128
Model Max Length	128
Vocabulary Size	4096

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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