Independent validation: arXiv:2603.11021. Mathematically optimal compression applied to LLM weights. Not an approximation — a theorem.
All measurements at equivalent model quality on Qwen 2.5-7B. Lower cosine drift and bits/weight is better.
| Method | Compression Ratio | Cosine Drift | Bits / Weight | Lattice Basis | Error Correction |
|---|---|---|---|---|---|
| HELIX L3 Our method | 5.91× | <0.3% | 5.42 bpw | Proprietary geometric | ECC |
| QuIP# | 4:1 | ~1.2% | 4.0 bpw | Random lattice | None |
| QTIP | 3:1 | ~2.1% | 5.3 bpw | None | None |
| PVQ | 4:1 | ~1.8% | 4.0 bpw | Partial lattice | None |
| GPTQ | 4:1 | ~1.5% | 4.0 bpw | None | None |
| AWQ | 4:1 | ~1.3% | 4.0 bpw | None | None |
Independently measured perplexity on Qwen 2.5-7B. Lower PPL is better. HELIX Fidelity delivers near-lossless quality at 2.28× compression.
| Format | PPL (Qwen 2.5-7B) | Size | Compression | Coherence (4 domains) | Ships as |
|---|---|---|---|---|---|
| FP16 baseline | ~7.0 | 15.24 GB | 1× | Reference | Full precision |
| Q4_K_M (llama.cpp) | 7.49 | 4.68 GB | 3.26× | Standard | GGUF Q4_K_M |
| HELIX Fidelity (6.33 bpw) Available now | 8.09 | 6.69 GB | 2.28× | 4/4 PASS |
Decompress → Q8_0 GGUF
Buy now → |
sorry. The math behind your model weights is theorem-level correct.Each advantage is a mathematical property, not an engineering choice. You cannot optimize your way past a theorem.
HELIX uses a 24-dimensional Leech lattice codebook — the densest known sphere packing in 24 dimensions, with kissing number 196,560. The closure identity (196,884 − 196,560 − 324 = 0) is formally proven in Lean 4 with zero sorry. No codebook of this dimension achieves better nearest-neighbor coverage. This is a theorem, not a benchmark.
Our ECC corrects up to 3 errors per codeword. Every compressed weight is self-healing: single-bit flips, memory errors, and transmission noise are corrected automatically at decode time. No other quantization method in the comparison table offers error correction.
HELIX Fidelity is a one-time download that decompresses to a standard Q8_0 GGUF file. The compression algorithm runs on Cloudflare Workers; the resulting file works locally with Ollama, llama.cpp, and LM Studio — no cloud dependency at inference time. arXiv:2603.11021 (validates geometric vector quantization achieving kissing-number-optimal coverage in 24D). Parity check runs on every batch for integrity assurance.
Every compression and decompression operation follows a deterministic path with mathematical guarantees at each stage.
sorry.sorry.Compress your LLM weights with HELIX's proprietary geometric compression. Sub-50ms on Cloudflare Workers. Pay per request with USDC.