What are the hardware requirements for GTM V2 Base?

GTM V2 Base requires approximately 0.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed GTM V2 Base and how large is it?

GTM V2 Base is developed by OPENGCM, a model with 154.9m 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 V2 Base?

GTM V2 Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

GTM V2 Base by OPENGCM — VRAM 0.6GB

Name: GTM V2 Base
Author: OPENGCM

GTM V2 Base is an open-source language model by OPENGCM. Features: 154.9m LLM, VRAM: 0.6GB, License: apache-2.0, LLM Explorer Score: 0.32.

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-v2-base

GTM V2 Base Parameters and Internals

LLM Name	GTM V2 Base
Repository 🤗	https://huggingface.co/OPENGCM/GTM-v2-base
Model Size	154.9m
Required VRAM	0.6 GB
Updated	2026-09-15
Maintainer	OPENGCM
Model Type	gtm-gpt
Model Files	0.6 GB
Supported Languages	en
License	apache-2.0
Is Biased	1
Vocabulary Size	50257

Rank the GTM V2 Base 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