CorX Labs

The models we have made.

Everything CorX Labs releases is open-source and published on Hugging Face. Each model has a page here with what it is, what it can do, and where it stops.


Released

Our models

Released Jamaican Patois 27B params Apache 2.0

CorX3.8-27B

Jamaica's first large open-weight LLM — a Jamaican Patois-speaking assistant that answers straight, holds its ground, and carries a natural Jamaican voice. A fine-tune of Qwen3.8-27B, fully merged and standalone.

Parameters
27B
Base model
Qwen3.8-27B
Languages
Patois & English
Runs on
~24GB GPU (4-bit)
Format
Fully merged
Licence
Apache 2.0
Released Singing voice synthesis 321.8M params Zero-shot cloning

TriStream-SVS

A singing voice synthesis model that builds the source-filter theory of human voice production into its architecture as a hard constraint — three parallel encoder streams for pitch, timbre and breath, combined only in a late fusion trunk.

Parameters
321.8M
Encoder streams
3 parallel
Generation
Rectified flow matching
Sampling steps
~32
Sample rate
24 kHz
Status
Released
Architecture proposal Linear scaling Long context No trained checkpoints

HELIX

Hierarchical Episodic Linear IndeX — a sequence architecture that drops attention’s quadratic bill without giving up exact long-range recall. Three strands per block: an exact local window, a recurrent state, and an index that can reach any block in the past through a landmark tree.

Package
helix-lm 0.1.0
Strands per block
3
Attention pairs
N1.00 measured
Hot decode state
O(1)
Probes per step
O(log N)
Status
Untrained reference implementation
Released Text generation 158M params Apache 2.0

CorX1.5

A ~158M parameter decoder-only transformer, built entirely from scratch — architecture, tokenizer, pretraining and fine-tuning, all written and trained solo on a single GPU. Not a fine-tune of an existing base model.

Parameters
157.8M
Layers
10
Context
1,024 tokens
Vocabulary
32,768 BPE
Pretraining
~3B tokens
Licence
Apache 2.0
In progress

More is in progress.

CorX Labs is a working research lab, not a finished catalogue. New checkpoints and new models are published as they are ready — the release feed and the Hugging Face commit history are the fastest way to see what has changed.

Documentation

How these models are built.

The architecture choices, the three-stage training pipeline, the safety layer and the loading instructions — all in one place.