This is prism-ml/Bonsai-8B — a Qwen3-8B moved end-to-end into binary {−1,+1} weights (1.125 true bits/weight, embeddings and LM head included) — re-laid as a content-addressed κ-object for the Hologram serverless substrate. No re-quantization anywhere: the trained sign bits pass through byte-exact (f16 group scales widened to f32 once, exactly). The model runs entirely in the browser on WebGPU — no server, no account, no data leaves the device.

What's here

File	What it is
`q-bonsai-8b.v1.holo`	ONE Range-streamable file: boot-ordered BLAKE3-verified blocks + embedded tokenizer. The reader serves tensors while the download is still in flight and warm-persists to OPFS (second visit = zero network, works offline).
`manifest.json` + `b/*.gz`	The same blocks as loose content-addressed parts (sha256 transport axis).
`manifest.blake3.json` + `sha256-to-blake3.map.json`	The canonical BLAKE3 (κ) axis.
`tokenizer.gguf`	The source GGUF header (tokenizer + arch), for serverless load.

Every block is verified against its content address before it is decompressed or touches the GPU (Law L5). Any static file host can serve this repo — origins are interchangeable because the bytes, not the host, carry identity.

Pins

manifest κ: did:holo:sha256:a0dc81f26ec5ce98b28ee9c1fab620e91c20720f777e1de6bc416317f54d27e2
root κ (tensor blocks): sha256:8bf47176c881493a795cd911abb53603a27efc0d97ad8b5ed76f2df75b2e7816
.holo determinism witness: sha256:7c9d809ce70ad143… (same input dir → byte-identical file)

Measured (first light, 2026-07-15)

Chrome / WebGPU, consumer laptop GPU: engine resident 7.8 s after open (progressive reader returned at 1% of the wire); decode 14–25 tok/s; warm second visit loads from OPFS with zero network. Coherent Qwen3 thinking-mode output.

Provenance

Weights: Prism ML's Bonsai-8B (Apache-2.0) — see LICENSE and NOTICE.txt. Conversion: compile2bit.mjs q1 mode (pass-through re-layout) + holo-kappa-pack.mjs, part of the Hologram Q substrate. Format q1: blob = [signs N·K/8 B][f32 scales N·K/128·4 B] per tensor; GEMV kernel dequantizes inside the matmul (weights never expand to dense f32 in memory).

HOLOGRAMTECH/q-bonsai-8b

q-bonsai-8b — Bonsai-8B as a κ-object (streams into your browser like a film)

What's here

Pins

Measured (first light, 2026-07-15)

Provenance

HOLOGRAMTECH/
q-bonsai-8b