What are the hardware requirements for Tonmai GPT?

Tonmai GPT requires approximately 7.6 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Tonmai GPT and how large is it?

Tonmai GPT is developed by KordAI, a model with 3.8b 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 Tonmai GPT?

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

Tonmai GPT by KordAI — VRAM 7.6GB, 4K context

Name: Tonmai GPT
Author: KordAI

Tonmai GPT is an open-source language model by KordAI. Features: 3.8b LLM, VRAM: 7.6GB, Context: 4K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.31.

4bit Conversational En Endpoints compatible Instruct Mistral Quantized Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/KordAI/Tonmai-GPT

Tonmai GPT Parameters and Internals

LLM Name	Tonmai GPT
Repository 🤗	https://huggingface.co/KordAI/Tonmai-GPT
Base Model(s)	unsloth/phi-3-mini-4k-instruct-bnb-4bit unsloth/phi-3-mini-4k-instruct-bnb-4bit
Model Size	3.8b
Required VRAM	7.6 GB
Updated	2026-08-22
Maintainer	KordAI
Model Type	mistral
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 2.6 GB: 2-of-2
Supported Languages	en
Quantization Type	4bit
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Tokenizer Class	LlamaTokenizer
Padding Token	<\|placeholder6\|>
Vocabulary Size	32064
Torch Data Type	float16

Rank the Tonmai GPT 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

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