arXiv:2603.11021  ·  Independently Validated

HELIX Benchmarks
Proprietary Geometric Vector Quantization

Independent validation: arXiv:2603.11021. Mathematically optimal compression applied to LLM weights. Not an approximation — a theorem.

✓ Proprietary Geometric 24D ✓ ECC ✓ 5.91× Compression ✓ Lean 4 Verified Parity ✓ Lean 4 Verified
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Performance Comparison

HELIX vs. Leading Methods

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
📄 Independent validation: arXiv:2603.11021  ·  All metrics measured at equivalent perplexity on Qwen 2.5-7B benchmark suite

Empirical Validation

Real-world PPL measurements

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 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
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Coherence domains tested: mathematics, logic, code generation, scientific theory — 4/4 PASS
📦 HELIX Fidelity decompresses to standard Q8_0 GGUF — compatible with Ollama, llama.cpp, LM Studio
Why pay for HELIX instead of using free Q4_K_M?
🛡 Error correction
Q4_K_M has no ECC. A single bit-flip corrupts inference silently. HELIX corrects up to 3 errors per codeword — every decode is self-healing.
✓ Certified quality floor
Q4_K_M PPL is a benchmark result — it tells you what happened in testing. HELIX PPL is bounded by a proof — it tells you the worst case is capped.
📜 Lean 4 verified
Every constant in the HELIX codebook is formally proven in Lean 4 with zero sorry. The math behind your model weights is theorem-level correct.
🔁 Decompresses to standard GGUF
HELIX Fidelity ships as a compressed archive. One command decompresses to Q8_0 GGUF — drop into Ollama, llama.cpp, or LM Studio with zero config changes.
Get HELIX Fidelity — $79 → One-time purchase · own forever · 6.69 GB download

Why HELIX Wins

Three structural advantages

Each advantage is a mathematical property, not an engineering choice. You cannot optimize your way past a theorem.

Mathematically Optimal

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.

🛡

Error-Corrected

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.

Proven in Production

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.


Under the Hood

Technical pipeline

Every compression and decompression operation follows a deterministic path with mathematical guarantees at each stage.

Compression pipeline
Float32 weights Scale + Quantize Proprietary geometric VQ ECC encode Pack bits 5.42 bpw output
Decompression pipeline
Packed bits ECC decode Proprietary geometric lookup Rescale Float16 output
Parity Check
Proprietary closure identity
Integrity verification on every batch — formally proven in Lean 4 with zero sorry.
Codebook Density
Exceptional nearest-neighbor coverage
Our proprietary codebook provides exceptional density, making 5.42 bpw possible without perplexity collapse.
Error Correction Capacity
t = 3  (min distance d = 8)
Our ECC corrects bit error patterns. Combined with geometric VQ, decompressed weights are provably within the drift bound.
Formal Verification
Lean 4  ·  29 theorems  ·  0 sorry
All codex constants used in HELIX are formally verified in Lean 4 with zero admitted axioms and zero sorry.

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Compress your LLM weights with HELIX's proprietary geometric compression. Sub-50ms on Cloudflare Workers. Pay per request with USDC.

Get API Key → Compress a Model npm install aethel-nexus-sdk API Reference