Announcement
CorX Labs releases three open-source AI models built in Jamaica, including the island's first large language model.
Jamaica · · For immediate release
CorX Labs, an independent artificial intelligence research lab and research station based in Jamaica, has released three open-source models: CorX3.8-27B, a 27-billion-parameter Jamaican Patois-speaking assistant and the island's first large open-weight LLM; CorX1.5, a 158-million-parameter language model designed and trained entirely from scratch; and TriStream-SVS, a 321.8-million-parameter singing voice synthesis model. All three are the work of a single developer on a single GPU.
CorX3.8-27B — a model that speaks Patois
CorX3.8-27B is a 27-billion-parameter conversational assistant that speaks Jamaican Patois by default and switches to standard English on request. It answers directly, holds its boundaries, and carries everyday Jamaican cultural reference rather than treating Patois as a novelty accent applied to a foreign voice.
The lab states plainly that this one is not built from scratch. CorX3.8-27B is a fully merged fine-tune of the open-weight Qwen3.8-27B base (Apache 2.0): the underlying reasoning, code and mathematics come from that base, and CorX Labs contributed the Jamaican voice, register and grounding. It is also not a Jamaican knowledge base — it should not be trusted for specific facts such as addresses, current laws or prices without a retrieval layer, which the lab ships to ground answers on real Jamaican sources including OpenStreetMap and public government documents. It runs in 4-bit on a single ~24GB GPU, or about 54GB in full bf16.
CorX1.5 — built from random weights
CorX1.5 is not a fine-tune of an existing base model. Its architecture, its 32,768-token tokenizer, its pretraining pipeline and its fine-tuning were all written in house and trained from random weights. The model is a custom decoder-only transformer using RoPE positional encoding, SwiGLU feed-forward layers and RMSNorm, with 10 layers and a 1,024-token context window, and it introduces learned role embeddings — a signal that marks every token as user, assistant or raw text at the architecture level, rather than leaving the model to infer it from special tokens.
Training ran in three stages: pretraining on approximately 3 billion tokens drawn from
25 open datasets spanning code, mathematics, reasoning, conversation and general text;
distillation from a larger teacher model with automated quality filtering; and reasoning
training, in which the model learns to show its working inside
<think> blocks before answering. A held-out validation split with
early stopping was used throughout.
The lab is publishing the model with an explicit statement of its limits. CorX1.5 is a small model trained on billions of tokens where comparable models from major labs are trained on trillions, and CorX Labs states plainly that it is not suitable for broad factual recall, complex multi-step mathematics, or production and safety-critical use. The model also ships with a hardcoded crisis-response layer, implemented in code rather than left to the model's judgment.
TriStream-SVS — a voice factored into three streams
TriStream-SVS is a 321.8-million-parameter singing voice synthesis system that factors the source-filter model of the human voice into three parallel encoder streams: a source stream carrying pitch alone, a filter stream carrying timbre and formants — the only stream that carries singer identity — and a residual stream for breath and fricative texture. Separating identity into a single stream is a deliberate design choice: it makes the part of the model that determines who the voice sounds like an isolated, inspectable component.
TriStream-SVS is released and available on Hugging Face. The lab has not published objective benchmark scores or listening-test results for it, and is not claiming any it has not measured.
“For years I've shared a dream to build something great — my own AI. Today that dream came through, and I can say I made it from scratch, from the ground up.”
Nathan, founder of CorX Labs
Availability. All three models are published on Hugging Face under the Apache 2.0 licence:
- CorX3.8-27B — huggingface.co/Sigmandndnns/CorX3.8-27B (merged weights). You can talk to it in the browser at corx-labs.com/chat.
- CorX1.5 — huggingface.co/Sigmandndnns/CorX1.5-160M, including weights, tokenizer and the model definition required to load it.
- TriStream-SVS — huggingface.co/Sigmandndnns/TriStream-SVS-300M (released).
Training is ongoing across the line-up, with updated checkpoints released as new data is added.
About CorX Labs. CorX Labs is an independent AI research lab and research station in Jamaica, in the Caribbean. It designs, trains and open-sources language models built from the ground up. Media and business inquiries: lkk89002@gmail.com.