What are the hardware requirements for Tetu Code 2?

Tetu Code 2 requires approximately 2.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Tetu Code 2 and how large is it?

Tetu Code 2 is developed by tetu-AI, a model with 1.2b 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 Code 2?

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

Tetu Code 2 by tetu-AI — VRAM 2.3GB

Name: Tetu Code 2
Author: tetu-AI

Tetu Code 2 is an open-source language model by tetu-AI. Features: 1.2b LLM, VRAM: 2.3GB, License: apache-2.0.

Code Coding-agent Custom-architecture En Fr Model-index Opencode Region:us Safetensors Small-language-model Tool-use Trained-from-scratch

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

Tetu Code 2 Parameters and Internals

LLM Name	Tetu Code 2
Repository 🤗	https://huggingface.co/tetu-AI/Tetu-Code-2
Model Size	1.2b
Required VRAM	2.3 GB
Updated	2026-11-14
Maintainer	tetu-AI
Model Files	2.3 GB
Supported Languages	en fr code
License	apache-2.0

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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