What are the hardware requirements for GTM V1 Base?

GTM V1 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 GTM V1 Base and how large is it?

GTM V1 Base is developed by OPENGCM, a model with 133.9m 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 GTM V1 Base?

GTM V1 Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

GTM V1 Base by OPENGCM — VRAM 0.5GB

Name: GTM V1 Base
Author: OPENGCM

GTM V1 Base is an open-source language model by OPENGCM. Features: 133.9m LLM, VRAM: 0.5GB, License: apache-2.0.

Base-model En From-scratch Gpt Gtm-gpt Muon-optimizer Nanogpt Pytorch Region:us Research Safetensors Single-gpu Slm Small-language-model

Model Card on HF 🤗: https://huggingface.co/OPENGCM/GTM-v1-base

GTM V1 Base Parameters and Internals

LLM Name	GTM V1 Base
Repository 🤗	https://huggingface.co/OPENGCM/GTM-v1-base
Model Size	133.9m
Required VRAM	0.5 GB
Updated	2026-09-14
Maintainer	OPENGCM
Model Type	gtm-gpt
Model Files	0.5 GB
Supported Languages	en
License	apache-2.0
Is Biased	1
Vocabulary Size	50257

Rank the GTM V1 Base capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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