HOLOGRAMTECH/q-bitnet-2b

Hologram · BitNet-2B-4T

Native 1.58-bit ternary brain

t2 · 1.58-bit ternary · 0.69 GB · streamed to Q as a key-addressable .holo object

Hologram · Live Space · Organization · Code

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What this is

Microsoft's BitNet b1.58 2B4T, the first natively 1.58-bit trained model at scale, re-encoded to Hologram's ternary key format. Q's default brain: fast, tiny, and coherent.

This repository is not a GGUF or Transformers checkpoint. It is a Hologram key object: the weights of microsoft/bitnet-b1.58-2B-4T re-encoded into Hologram's content-addressed .holo format so they stream, one verified block at a time, into Q, the on-device brain of the Hologram web OS. It runs in the browser on WebGPU, serverless, with nothing to install.

How it streams

The object is laid out for cold streaming from an untrusted CDN:

File	Role
manifest.json	the root. Names every tensor and the key (content hash) of its block.
b/sha256_*.gz	the tensor blocks. Each filename is the SHA-256 of its bytes.
tokenizer.gguf	bundled header, so loading is fully serverless.

Q fetches the manifest, then pulls each block by its key and re-derives sha256(block) on arrival. If a byte is wrong, the block is rejected. Nothing is trusted; everything is proven.

Verify (Law L5)

The object's identity is the SHA-256 of its manifest, pinned in Q's catalog before a single byte of weight is trusted:

did:holo:sha256:fcf835659d88d2fe6f683cf1ab8de6a6ba6214ea0deeee4b1bcf3da1a4c05412

curl -sL https://huggingface.co/HOLOGRAMTECH/q-bitnet-2b/resolve/main/manifest.json | sha256sum

Specifications

Architecture	BitNet b1.58 (Llama 3 template)
Precision	t2 · 1.58-bit ternary
Object size	0.69 GB
Hidden size	2560
Layers	30
Heads (Q / KV)	20 / 5 (GQA)
FFN	6912
Vocab	128256
Context	3000
Format	holo-2bit/1

Provenance and license

Derived from microsoft/bitnet-b1.58-2B-4T. Inherits the MIT license from microsoft/bitnet-b1.58-2B-4T. The re-encoding is content-addressed at the key level: the object either re-derives to its pinned identity or it is refused.

Run it

These weights load through Q, not a standard runtime. Open the Live Space or visit gethologram.ai to run Hologram, then pick BitNet-2B-4T from Q's model list.

_{Composed on the golden ratio. One key, everything.}