What are the hardware requirements for GTM V2 Chat?

GTM V2 Chat 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 Chat and how large is it?

GTM V2 Chat 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 Chat?

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

GTM V2 Chat by OPENGCM — VRAM 0.6GB

Name: GTM V2 Chat
Author: OPENGCM

GTM V2 Chat is an open-source language model by OPENGCM. Features: 154.9m LLM, VRAM: 0.6GB, License: apache-2.0, LLM Explorer Score: 0.34.

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

Model Card on HF 🤗: https://huggingface.co/OPENGCM/GTM-v2-chat

GTM V2 Chat Parameters and Internals

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

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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