Add branded Hologram model card

README.md

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+---
+license: other
+base_model: Dream-org/Dream-v0-Instruct-7B
+pipeline_tag: text-generation
+inference: false
+tags:
+- hologram
+- q
+- kappa-object
+- holo
+- diffusion
+- qwen2
+---
+
+<div align="center">
+
+# Hologram · Dream-7B
+
+**Diffusion language model**
+
+`q3f · diffusion` · `2.9 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)
+
+</div>
+
+---
+
+## What this is
+
+A masked-diffusion LM: generation is iterative bidirectional unmasking over denoising steps, not left to right. Wall-clock is fixed by step count, not output length.
+
+This repository is **not** a GGUF or Transformers checkpoint. It is a **Hologram key object**: the weights of `Dream-org/Dream-v0-Instruct-7B` 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:sha256:7b862931ae088f348f1f7e9ea3adbd418924c2e07e6ddd134f926e5681ad760d
+```
+
+```bash
+# the manifest hash equals the pinned identity above
+curl -sL https://huggingface.co/HOLOGRAMTECH/q-dream-7b/resolve/main/manifest.json   | sha256sum
+```
+
+## Specifications
+
+| | |
+|---|---|
+| Architecture | Qwen2.5-7B backbone (masked diffusion) |
+| Precision | q3f · diffusion |
+| Object size | 2.9 GB |
+| Hidden size | 3584 |
+| Layers | 28 |
+| Heads (Q / KV) | 28 / 4 (GQA) |
+| FFN | 18944 |
+| Vocab | 152064 |
+| Context | 192 |
+| Format | `holo-2bit/1` |
+
+## Provenance and license
+
+Derived from [`Dream-org/Dream-v0-Instruct-7B`](https://huggingface.co/Dream-org/Dream-v0-Instruct-7B). Inherits its license from Dream-org/Dream-v0-Instruct-7B. 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 **Dream-7B** from Q's model list.
+
+<div align="center"><sub>Composed on the golden ratio. One key, everything.</sub></div>