What are the hardware requirements for Tetu 2?

Tetu 2 requires approximately 1.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Tetu 2 and how large is it?

Tetu 2 is developed by tetu-AI, a model with 702.5m 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 Tetu 2?

Tetu 2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Tetu 2 by tetu-AI — VRAM 1.4GB

Name: Tetu 2
Author: tetu-AI

Tetu 2 is an open-source language model by tetu-AI. Features: 702.5m LLM, VRAM: 1.4GB, License: cc-by-nc-4.0.

Calibration Custom-architecture En Fr French Region:us Safetensors Small-language-model Trained-from-scratch

Model Card on HF 🤗: https://huggingface.co/tetu-AI/Tetu-2

Tetu 2 Parameters and Internals

LLM Name	Tetu 2
Repository 🤗	https://huggingface.co/tetu-AI/Tetu-2
Model Size	702.5m
Required VRAM	1.4 GB
Updated	2026-11-14
Maintainer	tetu-AI
Model Files	1.4 GB
Supported Languages	fr en
License	cc-by-nc-4.0

Rank the Tetu 2 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