/ Hardware Specifications

Hardware testbed and evaluation standards

All benchmark throughput and latency metrics are collected on standardized Nvidia H100 SXM5 and A100 80GB tensor clusters using isolated host environments and deterministic weight execution.

Execution Protocol

Four steps to reproducible benchmarks

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Weight loading and quantization

Context window expansion

Latency and throughput capture

Statistical verification and publishing

Needle-in-a-haystack and synthetic evaluation sequences test memory pressure across scale steps from 4k tokens to 128k context windows.

Models are loaded unquantized in FP16/BF16 baseline before applying 4-bit and 8-bit quantization matrix transformations under identical vLLM runtime settings.

Time-to-first-token and inter-token arrival latency are recorded across 1,000 warm runs to isolate system noise from kernel bottlenecks.

Raw execution traces, log files, and standalone evaluation scripts are verified and archived with full hardware environment specs.

Editorial Standard

We benchmark context degradation across 128k windows so you do not burn GPU hours on flawed assumptions.

Latent State Engineering Journal

Open-weight analysis and benchmarks

Access all runnable code repositories, fine-tuning scripts, and architectural post-mortems.