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metadata
title: README
emoji: π
colorFrom: green
colorTo: gray
sdk: static
pinned: false
VexelQuant Research Foundry
Sub-25ms Specialized Small Language Models (1.5Bβ7B) & Deterministic JSON Execution Engines for Quantitative Crypto & Prediction Market Systems.
VexelQuant designs, fine-tunes, and quantizes task-specific SLMs engineered to replace high-latency (~900ms+) external LLM APIs inside automated trading pipelines, Polymarket CLOB arbitrage bots, and autonomous on-chain agents.
Core Architecture Standards
| Metric / Layer | VexelQuant Standard | External Frontier APIs |
|---|---|---|
| Inference Latency (Local GGUF / vLLM) | 14ms β 28ms | 850ms β 2,100ms |
| JSON Schema Compliance | 99.4%+ (GRPO Enforced) | 91% β 96% |
| Data Privacy & Strategy Leakage | 100% Air-Gapped / Local | Shared with third-party API hosts |
| Marginal Cost per 1M Calls | $0.00 (Self-Hosted) | $150 β $1,500+ |
Active Model Tracks (v1 Suite)
Vexel-Catalyst-1.5B-v1β High-frequency breaking news & Telegram/X catalyst extraction to deterministic ticker JSON.Vexel-PolyArb-3B-v1β Polymarket resolution rule parsing & real-time probability delta estimation.Vexel-DeFiCaller-3B-v1β Zero-hallucination EVM (Base/Arbitrum) & Solana (Jupiter) RPC transaction payload generation.Vexel-RugShield-3B-v1β Sub-30ms Solidity/Rust smart contract honeypot & fee-manipulation triage.
For bespoke LoRA/GRPO fine-tuning on proprietary trading logs and custom bot schemas: founder@vexelquant.me