Vext Labs

American AI research lab. We build JUWEL, a specialized AI that forms around you and stays on the record, and we open-weight the model lineage behind it.

Open weights: JUWEL & GEMS

Our foundation bases are JUWELS. Our domain specialists are GEMS. Everything here is released under Apache-2.0, in BF16 (no quantization), built on open Qwen3-VL foundations (Alibaba Cloud, Apache-2.0) and transformed with our own pipeline: refusal-direction abliteration plus organic layer-growth (CIP). We credit the foundation openly. The growth, the specialist fleet, and the tooling are ours.

JUWELS (foundation bases)

• JUWEL Garnet — the origin stone; a retired flagship base
• JUWEL Emerald — the efficient general base
• JUWEL Sapphire — the vision-native base (144 layers)

GEMS (specialist adapters)

Ruby (code) · Spinel (reasoning) · Aquamarine (math) · Peridot (science) · Topaz (engineering) · Lapis (language) · Pearl (education) · Jade (humanities) · Citrine (business) · Opal (creative) · Tourmaline (inquisitor) · Alexandrite (long context) · Sardonyx (legal) · Bloodstone (medical) · Tanzanite (finance) · Turquoise (reconciler)

Load a JUWEL base, then compose a GEM on top.

Honest by default

• Weights are provided AS IS under Apache-2.0. Every model card states intended use, out-of-scope use, and base attribution.
• A benchmark appears on a card only once we can reproduce it on our own stack with a full audit trail. Where a number is not yet measured, the card says so plainly.
• We do not claim AGI, "never forgets," frontier parity, or from-scratch training. These are Apache-2.0 derivatives of Qwen3-VL, heavily modified.

Also open (on npm)

@vextlabs/theron-agent-sdk (MIT) · @vextlabs/theron-cli (Apache-2.0) · @vextlabs/stoa-verifier (Apache-2.0)

Links

Lab: vextlabs.ai · Product: juwel.ai · GitHub: Vext-Labs-Inc