AI Models

Models we train & fine-tune.

From purpose-built education tutors to foundation models trained from scratch — Zyora Labs builds the models that power our products, and publishes their cards openly.

Education · Fine-tuned2026

v1.0 · ZyoraByte

Byte-12B — A fine-tuned AI model for engineering education

Byte-12B is ZyoraByte's own AI tutor — a 12-billion-parameter model fine-tuned from Gemma 4 12B to teach across all 24 engineering streams. It explains concepts patiently, works through real university exam questions, and adapts to how each student learns.

EducationAI tutorGemma 4QLoRAExam prepEngineering

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12B

Parameters · Gemma 4 base

Engineering streams covered

4,096

Token context window

QLoRA

4-bit fine-tune on H100

Foundation · Pre-trained2026

Foundation model

AQ-5B — A foundation model by Zyora Labs

AQ-5B is Zyora Labs' own foundation model — a decoder-only Transformer trained from scratch in pure PyTorch to understand every educational stream, from Physics and Maths to Botany, Tamil and Engineering. It is the base that will power the next generation of ZyoraByte and Zyora AI.

Foundation modelPre-trainingPure PyTorchRoPE · RMSNorm · SwiGLU · GQAMultilingualEducation

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Parameters

32K

BPE tokenizer vocabulary

EN · TA

Bilingual — English & Tamil

Scratch

Pre-trained from zero

How we build models

Our model principles

Built for every stream

Our education models are department-agnostic by design — from mechanical and civil to ECE and CS. No stream is a second-class citizen.

Trained on real material

We fine-tune on genuine university coursework and past exam papers, so answers match what students are actually assessed on.

Owned end to end

From datasets to fine-tuning to serving, we control the full pipeline — including our own foundation models trained from scratch.

Want early access or to collaborate?

We work with institutions, researchers and partners building the next generation of education AI.

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