Mai-iaM/BeyondSight-aamt

BeyondSight models in .aamt

Three models packed in the .aamt file format, run on your own GPU by the aamt runtime:

npx aamt                  # InnerSight: chatting in about a minute
npx aamt run gaian        # the general 8B model
npx aamt bench gaian      # measure it on your machine and get a shareable card

model	file	size	parameters	weights
InnerSight	InnerSight.aamt	0.72 GB	1.7B	ternary
BeyondSight NightOwl	BeyondSight-NightOwl.aamt	2.28 GB	8B	1-bit
BeyondSight GaIaN	BeyondSight-GaIaN.aamt	3.23 GB	8B	ternary

Weights are bit-packed so a GPU shader reads one 32-bit word and unpacks 16 ternary or 32 one-bit weights in registers. The format is specified at github.com/wwhitehead/aamt.

Provenance

• catalog.json lists every file with its size and SHA-384; catalog.sig is its Ed25519 signature by AsAManThinks Research. The aamt runtime verifies both before it loads a file, and npx aamt verify <file> checks any copy.
• The models carry a keyed watermark in their weight scales. It does not change their behaviour: on each model, the watermarked and original files agree on 100% of next-token predictions and produce identical greedy output on the runtime. Removing it breaches the licence.

Licence

BeyondSight Model License 1.0 (LICENSE.md): free for personal use, non-commercial research, a 60-day commercial evaluation, and small organisations (under US $1M revenue, US $5M raised and 25 people) after free registration. Everything else — production use, paid products, hosting, OEM, redistribution, training other models — needs a commercial licence: licensing@asamanthinks.com.

Derived from Qwen3 (Alibaba Cloud, Apache-2.0); see NOTICE and LICENSE-QWEN3-APACHE-2.0.txt.