Sovereign Edge Intelligence.
Zero Cloud.
Pure-Rust 1.58-bit and 2-bit foundation model inference running locally on phones, laptops, and desktops — no GPU required. 11.6–20.3 TPS sustained on $300 mobile silicon, and even faster on consumer PCs. $0 marginal cloud API cost.
Ultra-Compressed Foundation Intelligence
Compress and deploy any open-source LLM — from 1.5B to 8B+ parameters — to phones, laptops, desktops, and embedded devices. Zero Python, zero PyTorch, and zero JVM runtime overhead.
Compact 2-bit quantization with proprietary hardware-accelerated inference kernels. Runs comfortably inside standard Android and iOS background processes.
Our verified Android Chat App bundle combining the 2-bit Qwen foundation weights with trained Medusa speculative verification heads for accelerated multi-token generation.
Meta's flagship LLaMA 3.1 8B compressed to just 2.05 GB via our proprietary 1.58-bit ternary quantization pipeline — an 87.2% reduction from the original 16 GB FP16 checkpoint. Runs entirely on-device without a GPU.
Rank 256 / Alpha 512 universal adapter trained over 3 full passes of SFT + DPO alignment. Elevates 1.5B models to 7B-class math and coding reasoning in a tiny 22 MB cartridge.
QuantizedLab 2-Bit vs. Uncompressed FP16
How our 1.58-bit / 2-bit foundation models compare against the original uncompressed 16-bit PyTorch baseline on physical hardware.
$0 Marginal Inference Cost
Cloud LLM APIs penalize growth. With QuantizedLab, all inference runs locally on the user's own hardware — their phone, laptop, or desktop PC. Zero server bills, infinite scale.
Why Developers Pay for Leviathan
Developers don't pay for theoretical compression papers. They pay when an engine runs full LLMs on users' own computers and phones — slashing cloud bills to zero, unlocking desktops, laptops, and 80% of global Android devices.
Replaces punishing $2,500–$6,000/month OpenAI or Anthropic API bills with $0 marginal cost per user. Scale from 1,000 to 1,000,000 users without your cloud bills growing by a single penny.
While Google Gemini Nano is locked to $1,000+ flagships, Leviathan runs sustained 18–21 TPS on mid-range Snapdragon 6 Gen 1 phones (Moto G Stylus), unlocking the 80% of global users without flagship devices.
Zero network sockets, zero data egress, zero legal exposure. Compliant with HIPAA, GDPR, and air-gapped corporate intranets. Clinical notes, legal documents, and private chats never leave the physical device.
Developers build tools, not just chatbots. Built-in native grammar constraints enforce strict RFC 8259 JSON syntax, enabling zero-hallucination database queries, device actions, and autonomous agents.
No C++ JNI headaches or CMake scripts. Simply add implementation("com.quantizedlabs:leviathan-sdk:1.0.0") and start streaming tokens via Kotlin Coroutines and Jetpack Compose in under 5 minutes.
Built-in MemoryGuard monitors device RAM pressure before allocating native weights. Guaranteed to never trigger an Android Low-Memory Killer (LMK) crash or freeze the host app.
Why Developers Choose Leviathan Over Alternatives
How Leviathan compares directly against open-source C++ engines, closed OS runtimes, and cloud API providers.
| Feature / Benchmark | Leviathan SDK | llama.cpp / ExecuTorch | Google Gemini Nano | Cloud APIs (OpenAI / Claude) |
|---|---|---|---|---|
| Speed on $180 Budget Phone | 18.4 – 21.2 TPS (Instant) | 5.2 – 7.8 TPS (Sluggish) | Not supported | Network dependent (200-1500ms) |
| Physical RAM Footprint | < 1.15 GB (Sub-1GB active) | 1.8 – 2.4 GB | System managed | 0 MB (Cloud) |
| Developer Integration | 5 lines Kotlin / AAR | Days of CMake & C++ JNI | Strict Google approval | Simple REST API |
| Global Hardware Reach | All ARM64 Android (80% of phones) | All ARM64 Android | Flagships only (~15% of phones) | Requires active internet |
| Custom LoRA Hot-Swapping | Yes (0 ms / Live mmap) | Manual merge / Slow reload | No | Fine-tuning markup pricing |
| Marginal Cost Per User | $0.00 Forever | $0.00 | $0.00 | $0.15 – $2.50 / MTok (Escalates) |
| Guaranteed JSON Grammar | Built-in RFC 8259 Speculative | Requires external GBNF | Limited / Inconsistent | Cloud structured mode |
Where Developers Pull Out Their Credit Cards
The highest-converting commercial verticals where on-device speed, zero cloud bills, and air-gapped privacy unlock mission-critical apps.
Aviation mechanics, offshore oil rigs, mining inspectors, and maritime crews operate in dead zones with zero cell signal. Leviathan powers diagnostic manuals and safety checklists completely offline.
Doctors recording patient consultations face severe HIPAA/GDPR liability if audio leaves the exam room. Leviathan processes intake notes and medical queries locally with zero data egress.
Smart keyboards, offline voice translators, personal finance managers, and camera AI apps with 100k+ MAU whose margins get destroyed by monthly OpenAI API bills.
Clone, Build, and Ship Today
Developers want working examples, not abstract manuals. Clone production-ready Jetpack Compose sample applications directly from the SDK package.
Offline AI Chat Assistant
Full Jetpack Compose offline chatbot demonstrating first-launch background model downloading with progress bar, real-time token streaming with live TPS meter, and dynamic God Mode LoRA toggling.
On-Device Autonomous Tool Agent
Demonstrates local function calling and guaranteed RFC 8259 JSON output. The model decides when to invoke phone sensors (battery status, bill splitting, timer scheduling) and parses arguments automatically.
Pay Once. Deploy Forever. Zero Recurring Costs.
No subscriptions, no per-token charges, no surprise bills. License the Leviathan runtime once and own it permanently. Optional annual renewal for updates & priority support.
Developer Pro
- Qwen 2.5 1.5B 2-Bit Model (~890 MB)
- Full Android Kotlin SDK (.AAR)
- Unlimited MAU & No Watermark
- Guaranteed JSON Grammar & Tool Calling
- God Mode LoRA Adapter Access
- Resumable
ModelDownloadManager - Email Support & Priority Issues
Enterprise Fleet
- Everything in Developer Pro
- Custom God Mode LoRA trained on proprietary data
- Unlimited App MAU & Device Fleet Deployments
- Air-gapped verification & HIPAA BAA compliance
- Dedicated Slack channel & 24/7 SLA Engineering
- Includes Full Qwen 2.5 1.5B (2-bit, 890MB) Production License + Medusa Heads
Built for Real Physical Silicon
Unlike generic wrapper runtimes, the Leviathan Engine is compiled from pure Rust directly against target instruction set architectures.
Compresses in under 2 hours directly from your weight checkpoint. Eliminates $50,000+ GPU retraining bills and Quantization-Aware Training (QAT) clusters entirely.
Because our pipeline is purely analytic, you never have to share confidential training datasets, customer chats, or private records. We only process your compiled weights.
Certified for Unity and Unreal Engine 5 game loops. Zero heap allocations per token (0 bytes heap) guarantees NPCs run without GC frame stutters.
Proprietary batch verification technology delivers 2.76x acceleration over standard single-token generation, maximizing throughput within mobile DRAM bandwidth limits.
Zero network sockets, zero telemetry, and zero data exfiltration. Fully compliant with HIPAA, GDPR, SOC 2, and defense requirements.
Compress Any LLM. Deploy Everywhere.
Don't see your model listed? Our proprietary compression pipeline can shrink any open-source LLM — LLaMA, Mistral, Phi, Gemma, Qwen, or your own fine-tuned checkpoint — to run locally on user devices.
Upload any Hugging Face-compatible model checkpoint. LLaMA 3.1, Mistral 7B, Phi-3, Gemma 2, Qwen 2.5 — any transformer architecture.
Our one-shot analytic pipeline compresses your model to 1.58-bit or 2-bit. No retraining, no data sharing, no expensive QAT GPU clusters required.
Receive a production-ready .leviathan2 binary that runs on Android phones, iPhones, laptops, desktops, and embedded devices — zero cloud required.