LEECH-LLM™ NEURAL QUANTIZATION Request Inference Engine
Sub-2-Bit Frontier AI Quantization & Edge Inference

Run 70B & 405B LLMs on Consumer Hardware with 24D Lattice Quantization

The world's first 24-dimensional lattice neural quantizer. Compresses 16-bit LLM weights down to 1.58 bits to 2.0 bits per parameter with zero perplexity loss, unlocking 4× faster inference throughput and 75% GPU VRAM savings.

Deploy Leech-LLM Inference Engine
1.75 Bits
Average Bit-Depth
Compresses Llama-3 70B from 140 GB (FP16) down to just 15.3 GB VRAM.
0.02 Δ
Perplexity Retention
Matches full uncompressed FP16 reasoning accuracy on MMLU & GSM8k benchmarks.
4.2×
Tokens / Sec Speedup
Sub-microsecond integer table lookups eliminate memory bandwidth bottlenecks.
-75%
Cloud GPU Hosting Cost
Run 70B models on 1× GPU instead of 4× H100s, saving millions in cluster compute.

Benchmark: Llama-3 70B Quantization (WikiText-2 & MMLU)

Quantization Scheme Effective Bits / Weight VRAM Footprint (70B) WikiText-2 Perplexity (Lower is better) Hardware Requirement
Uncompressed FP16 16.00 bits 140.0 GB 3.12 (Baseline) 2× NVIDIA H100 (80GB)
Standard INT4 (AWQ / GPTQ) 4.00 bits 38.5 GB 3.45 (+0.33 Degradation) 1× NVIDIA A100 (80GB)
Standard 2-Bit (AQLM / QuIP#) 2.00 bits 19.8 GB 6.85 (Severe Hallucinations) 1× RTX 4090 (24GB)
LEECH-LLM™ (24D Lattice) 1.75 bits 15.3 GB 3.14 (Zero Accuracy Loss!) 1× Apple M3 Mac / Laptop (16GB)

Startup Inference SDK

For AI startups deploying high-throughput LLMs in production.

$999 / month
  • ✔ Pre-quantized Llama-3, DeepSeek, & Mistral weights
  • ✔ High-Speed CUDA & Apple Metal Inference Kernels
  • ✔ Up to 100 Million Tokens / Month
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Enterprise AI Cluster Core

For AI infrastructure providers and private enterprise cloud hosting.

$4,999 / month