Files
vllm-omni/benchmarks/edge_harness/experiments
..

One-off experiment drivers

Scripts that produced a specific result rather than tooling meant to be reused. Kept because the results in ../results/ are only checkable if the script that made them is here.

group what
aihub_*.py Qualcomm AI Hub on-device runs — Snapdragon layer timings, calibration, w8a16/w4a16 parity. Authentication comes from ~/.qai_hub/client.ini; no credential is in these files
bench_int4_kernels.py the 4-bit GEMM microbenchmark — kernel-level shapes, used to size decisions before building anything
quality_int4.py, ppl_vllm.py, parity_hf_vs_vllm.py, ref_hf.py fidelity: greedy divergence, perplexity, and parity against a HuggingFace reference
quantize_int8.py, export_gptq_cpu.py, dequantize_int4.py, verify_export.py building and round-tripping checkpoints
capture_real_acts.py, capture_lm_head.py activation capture for calibrated quantization
cpu_busy.py a load generator, used to test that the harness's contention guard actually refuses

They are not portable as written. Most carry absolute paths from the machine they ran on (/data/<user>/embedding_infer/...) and expect checkpoints under models/. They are a record of what was run, not a supported interface — the supported entry points are the tools one level up, described in docs/edge/harness.md.