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<h1>Sipsa Labs, Inc.</h1>
<blockquote>An <b>experimental and deep tech-and-software company</b> (Delaware C-corp, incorporated May 2026). We invent and ship across the full breadth of tech and software &mdash; deep research, runtime systems, novel substrates, infrastructure, hardware-adjacent stacks, and software products that don&#39;t fit anywhere else yet. <b>UltraCompress</b> &mdash; lossless 5-bit transformer compression &mdash; is our first flagship publicly-shipped product. More products in flight.</blockquote>

<div class="hn-banner">Live on Hacker News today: <a href="https://news.ycombinator.com/item?id=48099107">news.ycombinator.com/item?id=48099107</a></div>

<span class="badge">v0.6.11 on PyPI</span>
<span class="badge">22 architectures shipped; 14 PPL-verified end-to-end</span>
<span class="badge">BUSL-1.1 + Additional Use Grant</span>

<h2>2026-05-11 &mdash; 22 architectures shipped; 14 PPL-verified end-to-end at 5 bpw, three new sub-1.005&times; records this week</h2>

<p>Production-grade lossless 5-bit transformer compression across 22 architectures, dense + Mixture-of-Experts + state-space (Mamba), 0.6B to 405B parameters. Mathematically lossless customer-side reconstruction: SHA-256 over reconstructed tensor bytes matches the trainer&#39;s measurement, verified by <code>uc verify</code>.</p>

<h2>Tightest verified PPL ratios at 5 bpw</h2>
<p><i>(perplexity ratio = compressed PPL / bf16 baseline PPL; FineWeb-edu held-out tail; seq_len = 1024; n = 30-50; seed = 42)</i></p>

<table>
  <tr><th>Model</th><th>Params</th><th>Type</th><th>PPL ratio</th><th>Notes</th></tr>
  <tr><td>Phi-3-mini-4k-instruct</td><td>3.8B</td><td>dense</td><td><b>1.00262&times;</b></td><td>seq_len=128 caveat</td></tr>
  <tr class="headline"><td><b>Mixtral-8x7B</b></td><td>47B</td><td>MoE</td><td><b>1.00368&times;</b></td><td>tightest MoE result</td></tr>
  <tr><td>Qwen3-1.7B-Base</td><td>1.7B</td><td>dense</td><td><b>1.00401&times;</b></td><td>small-decoder record</td></tr>
  <tr><td>Qwen3-14B</td><td>14B</td><td>dense</td><td><b>1.00403&times;</b></td><td>14B-class record</td></tr>
  <tr><td>Yi-1.5-9B</td><td>8.8B</td><td>dense</td><td><b>1.00414&times;</b></td><td>&gt;8B record</td></tr>
  <tr><td>Qwen3-8B</td><td>8B</td><td>dense</td><td><b>1.00440&times;</b></td><td>8B-class record</td></tr>
  <tr><td>Mistral-7B-v0.3</td><td>7B</td><td>dense</td><td><b>1.00548&times;</b></td><td>NEW this week &mdash; 9.16&times; tighter than prior</td></tr>
  <tr class="headline"><td><b>Hermes-3-Llama-3.1-405B</b></td><td>405B</td><td>dense</td><td><b>1.0066&times;</b></td><td>largest dense 5-bit lossless on the Hub</td></tr>
  <tr><td>Qwen3-0.6B</td><td>0.6B</td><td>dense</td><td><b>1.0069&times;</b></td><td></td></tr>
  <tr><td>OLMo-2-0425-1B</td><td>1B</td><td>dense</td><td><b>1.0073&times;</b></td><td></td></tr>
  <tr><td>SmolLM2-1.7B-Instruct</td><td>1.7B</td><td>dense</td><td><b>1.0075&times;</b></td><td></td></tr>
  <tr><td>Mamba-2.8B</td><td>2.8B</td><td>SSM</td><td><b>1.0119&times;</b></td><td>first published 5-bit lossless on a state-space model</td></tr>
  <tr><td>Llama-3.1-8B</td><td>8B</td><td>dense</td><td><b>1.0125&times;</b></td><td>standard eval</td></tr>
</table>

<p>Source + reproduce: <a href="https://github.com/sipsalabs/ultracompress">github.com/sipsalabs/ultracompress</a> &middot; full benchmark page: <a href="https://sipsalabs.com/inference">sipsalabs.com/inference</a></p>

<h2>Quick start (3 commands, no GPU required for verify)</h2>
<pre>pip install ultracompress
hf download SipsaLabs/qwen3-8b-uc-v3-bpw5 --local-dir ./qwen3-8b
uc bench ./qwen3-8b</pre>

<h2>Inference API</h2>
<p><code>api.sipsalabs.com</code> is live, OpenAI-compatible:</p>
<pre>export OPENAI_BASE_URL=https://api.sipsalabs.com/v1
# The official `openai` SDK works unchanged.</pre>
<p>Pricing tiers + Compression-as-a-Service contracts at <a href="https://sipsalabs.com/pricing">sipsalabs.com/pricing</a>.</p>

<hr>

<h2>License + IP</h2>
<ul>
  <li>PyPI <code>ultracompress</code> v0.6+ under <b>BUSL-1.1</b> with Additional Use Grant &mdash; free for sub-$1M ARR companies + research + individuals. Auto-converts to Apache 2.0 four years after each release.</li>
  <li>v0.5.x stays Apache-2.0 forever on <code>legacy/0.5.x</code>.</li>
  <li>Codec internals patent-protected. Continuations through 2027.</li>
</ul>

<hr>

<h2>Contact</h2>
<ul>
  <li>Pilots / commercial &rarr; <a href="mailto:founder@sipsalabs.com">founder@sipsalabs.com</a></li>
  <li>Patents / licensing &rarr; <a href="mailto:legal@sipsalabs.com">legal@sipsalabs.com</a></li>
  <li>Press / media &rarr; <a href="mailto:press@sipsalabs.com">press@sipsalabs.com</a></li>
  <li>Security disclosure &rarr; <a href="mailto:security@sipsalabs.com">security@sipsalabs.com</a></li>
  <li>General &rarr; <a href="mailto:hello@sipsalabs.com">hello@sipsalabs.com</a></li>
</ul>

<p><a href="https://sipsalabs.com">sipsalabs.com</a> &middot; <a href="https://github.com/sipsalabs">github.com/sipsalabs</a> &middot; <a href="https://x.com/SipsaLabs">@SipsaLabs on X</a></p>

<p style="color: var(--muted); font-size: .85rem; margin-top: 2rem;">Public verifier dashboard: <a href="https://sipsalabs.com/inference">sipsalabs.com/inference</a> &middot; Selective Disclosure Charter &mdash; what we publish vs what we keep internal: see <a href="https://github.com/sipsalabs/ultracompress">github.com/sipsalabs/ultracompress</a></p>

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