| --- |
| title: Sipsa Labs |
| emoji: 🧊 |
| colorFrom: indigo |
| colorTo: blue |
| sdk: static |
| pinned: false |
| --- |
| |
| # Sipsa Labs |
|
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| > **Sipsa Labs** is an experimental and deep tech-and-software company. We invent and ship across the full breadth of tech and software. |
| > |
| > **Two products live today:** |
| > |
| > 1. **UltraCompress** — lossless 5-bit transformer compression. Flagship. `pip install ultracompress`. |
| > 2. **Sipsa Inference** — OpenAI-compatible serving API for our compressed weights. `https://api.sipsalabs.com/v1`. Pro $99/mo + Team $499/mo. |
| > |
| > **Compression-as-a-Service** engagements are open ($5K Phase 0 POC). More products in flight — we don't pre-announce. |
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|
| --- |
|
|
| ## v0.6.9 shipped 2026-05-15 — security release + new Mistral 7B record |
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| `pip install --upgrade ultracompress` — RCE-class fix on `torch.load()` paths + MANIFEST-scrubbed sdist. v0.6.7 + v0.6.8 yanked from PyPI. Drop-in replacement, no code changes required. |
|
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| **Mistral-7B-v0.3 hits 1.00548×** — a strong dense 7B-class lossless 5-bit result. |
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| --- |
|
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| ## Product 1: UltraCompress |
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| Production-grade lossless 5-bit transformer compression across 22 shipped architectures (14 PPL-verified end-to-end), dense + Mixture-of-Experts + state-space, 0.6B to 405B parameters. Mathematically lossless customer-side reconstruction: SHA-256 over reconstructed tensor bytes matches the trainer's measurement, verified by `uc verify`. |
|
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| ### Tightest verified PPL ratios at 5 bpw |
| *(perplexity ratio = compressed PPL / bf16 baseline PPL; FineWeb-edu held-out tail; seq_len = 1024; n = 30-50; seed = 42)* |
|
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| | Model | Params | Type | **PPL ratio** | Notes | |
| |---|---:|:---|---:|:---| |
| | **Mixtral-8x7B** | 47B | MoE | **1.00368×** | tightest MoE result | |
| | Qwen3-1.7B-Base | 1.7B | dense | **1.00401×** | small-decoder record | |
| | Qwen3-14B | 14B | dense | **1.00403×** | 14B-class record | |
| | Yi-1.5-9B | 8.8B | dense | **1.00414×** | >8B record | |
| | Qwen3-8B | 8B | dense | **1.00440×** | 8B-class record | |
| | **Mistral-7B-v0.3** | 7B | dense | **1.00548×** | NEW — a strong dense 7B-class result | |
| | Phi-3-mini-4k | 3.8B | dense | **1.00262×** | tightest dense ratio (seq_len=128 caveat) | |
| | **Hermes-3-Llama-3.1-405B** | 405B | dense | **1.0066×** | 405B-class lossless on a single 32 GB consumer GPU | |
| | Qwen3-0.6B | 0.6B | dense | **1.0069×** | | |
| | OLMo-2-0425-1B | 1B | dense | **1.0073×** | | |
| | SmolLM2-1.7B-Instruct | 1.7B | dense | **1.0075×** | | |
| | SmolLM2-1.7B | 1.7B | dense | **1.0085×** | | |
| | Mamba-2.8B | 2.8B | SSM | _compression validated; PPL eval pending_ | state-space model | |
| | Llama-3.1-8B | 8B | dense | **1.0125×** | | |
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| 22 architectures shipped, 14 PPL-verified end-to-end. Full matrix below + at github.com/sipsalabs/ultracompress. |
|
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| ### Try UltraCompress (3 commands) |
|
|
| ```bash |
| pip install ultracompress |
| hf download SipsaLabs/qwen3-1.7b-base-uc-v3-bpw5 --local-dir ./pack |
| uc verify ./pack |
| ``` |
|
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| Expected: `VERIFY: PASS — bit-identical reconstruction guaranteed.` |
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| --- |
|
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| ## Product 2: Sipsa Inference |
|
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| OpenAI-compatible inference API serving our compressed weights. Drop-in replacement for OpenAI's `base_url` — same `openai` Python SDK works unchanged. |
|
|
| ```bash |
| export OPENAI_BASE_URL=https://api.sipsalabs.com/v1 |
| curl $OPENAI_BASE_URL/models |
| ``` |
|
|
| 22 models live in the catalog with `sipsa-*` prefix (e.g. `model="sipsa-hermes-3-llama-3.1-405b"`). Backed by dual RTX 5090 over Cloudflare Tunnel. |
|
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| **Pricing**: Free $5 credit on signup (no card). **Pro $99/mo** (600 RPM, $100 included credit). **Team $499/mo** (2400 RPM, $500 included credit). Full pricing + bill estimator at sipsalabs.com/pricing. |
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| --- |
|
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| ## Service: Compression-as-a-Service (CaaS) |
|
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| Bring a model, we deliver a verified-lossless 5-bit pack you can run on your hardware. **Phase 0 POC is $5K / 5 business days / customer-picked model**. Day 7 deliverable is a pack you self-verify with `uc verify` + benchmark with `uc bench`. Acceptance gate: `uc verify PASS` + PPL ratio within 1.5% on your eval set. |
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| Email founder@sipsalabs.com. |
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| --- |
|
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| ## Why this matters |
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| Defense / FDA-regulated healthcare / SR 11-7 model validation / frontier lab red-team eval — places where "good enough on MMLU" isn't enough. Bit-identical reconstruction is the actual reason to talk to us in those settings. As a side-effect of the streaming compression path, it lets us put a 405B-parameter model through a single 32 GB consumer GPU without renting an H100 cluster. |
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| --- |
|
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| ## License + IP |
|
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| - **PyPI v0.6+** under BUSL-1.1 with **Additional Use Grant**: free for sub-$1M ARR companies, research, and individuals. Auto-converts to Apache 2.0 four years after each release. |
| - **v0.5.x** stays under Apache-2.0 forever on the `legacy/0.5.x` branch. |
| - Codec internals patent-protected. Continuations through 2027. |
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| --- |
|
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| ## Contact |
|
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| - **Commercial / Phase 0 POC** → founder@sipsalabs.com |
| - **Patents / licensing** → legal@sipsalabs.com |
| - **Press / media** → press@sipsalabs.com |
| - **Security disclosure** → security@sipsalabs.com |
| - **General** → hello@sipsalabs.com |
|
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| [sipsalabs.com](https://sipsalabs.com) · [GitHub](https://github.com/sipsalabs) · [PyPI](https://pypi.org/project/ultracompress/) · [Pricing](https://sipsalabs.com/pricing) |
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