Replace estimated values with clpeak measurements: DRAM 216-233 GB/s,
GPU clocks confirmed 2900 MHz under load (ROCm #5750 is sysfs reporting
only). Correct backend recommendation to Vulkan RADV (2.7x faster tg
than ROCm at 131K). Update KV cache recommendation to q4_0. Add
Nemotron-Cascade-2 to coder shootout results. Remove Nemotron-3-Nano
from catalog (replaced by Cascade-2). Update Q4_K_L to Q4_K_XL entry.
Add `make optimize-power` (ryzenadj 85W, sysctl, THP, RADV nogttspill)
with systemd services for boot/resume persistence. Integrate into
`make optimize --all` as Phase 2. Update optimization log with RyzenAdj
results (+46% tg at 70W sustained), KV sweep data, and quant shootout.
Add Qwen3-Coder-30B and Nemotron-Cascade-2 to model catalog.
Models:
- configs/models.conf: catalog with Qwen3.5-35B-A3B (MoE, top pick),
Qwen3.5-27B (dense), Qwen3-Coder-30B-A3B (agentic/coding)
- Updated benchmark setup to show catalog with download status
- docs/model-recommendations.md: memory planning, quantization guide
Agentic evaluation:
- scripts/agentic/setup.sh: installs inspect-ai, evalplus, bigcodebench
in a Python venv
- scripts/agentic/run-eval.sh: runs evaluations against local LLM server
(ollama or llama.cpp). Suites: quick (HumanEval+IFEval), code
(EvalPlus+BigCodeBench), tooluse (BFCL), full (all)
- bin/agentic: dispatcher with help
- docs/agentic-benchmarks.md: methodology, framework comparison, model
recommendations for agentic use
Updated: Makefile (6 new targets), README, CLAUDE.md, docs/references.md
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
