--- license: apache-2.0 base_model: allenai/OLMoE-1B-7B-0924-Instruct pipeline_tag: text-generation inference: false tags: - hologram - q - kappa-object - holo - moe - olmoe - allenai ---
# Hologram · OLMoE-1B-7B **Mixture of experts (64 x 8)** `q4 · MoE` · `3.6 GB` · streamed to Q as a **key-addressable `.holo` object** [Hologram](https://gethologram.ai) · [Live Space](https://huggingface.co/spaces/HOLOGRAMTECH/hologram) · [Organization](https://huggingface.co/HOLOGRAMTECH) · [Code](https://github.com/Hologram-Technologies)
--- ## What this is The first resident-MoE key object: 64 experts held in memory with an 8-of-64 top-k router. About 1.3B active parameters of a 7B model per token. This repository is **not** a GGUF or Transformers checkpoint. It is a **Hologram key object**: the weights of `allenai/OLMoE-1B-7B-0924-Instruct` 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 (where present), 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:sha256:9cf97ec1c761fd4ef51bc0cd4ac37a0cd8eaa11f1b19b3ae6a141486ad3fe5ad ``` ```bash # the manifest hash equals the pinned identity above curl -sL https://huggingface.co/HOLOGRAMTECH/q-olmoe-1b-7b/resolve/main/manifest.json | sha256sum ``` ## Specifications | | | |---|---| | Architecture | OLMoE (64 experts, 8 active) | | Precision | q4 · MoE | | Object size | 3.6 GB | | Hidden size | 2048 | | Layers | 16 | | Heads (Q / KV) | 16 / 16 | | FFN | 1024 x 64 experts | | Vocab | 50304 | | Context | 3000 | | Format | `holo-2bit/1` | ## Provenance and license Derived from [`allenai/OLMoE-1B-7B-0924-Instruct`](https://huggingface.co/allenai/OLMoE-1B-7B-0924-Instruct). The re-encoding is lossless-by-construction at the key level: every block is content-addressed, so 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](https://huggingface.co/spaces/HOLOGRAMTECH/hologram) or visit [gethologram.ai](https://gethologram.ai) to run Hologram, then pick **OLMoE-1B-7B** from Q's model list.
Composed on the golden ratio. One key, everything.