skippy-cache-family-bench

Testing & Quality

Use this skill when benchmarking Skippy exact-prefix cache across model families, comparing Skippy against llama-server, producing README benchmark tables, updating crates/skippy-cache/README.md evidence, or diagnosing cache benchmark gaps by family or Hugging Face use case.

QUICK START

How to use this skill

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Prompt to paste

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Source SKILL.md: https://github.com/Mesh-LLM/mesh-llm/blob/HEAD/.agents/skills/skippy-cache-family-bench/SKILL.md

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skippy-cache-family-bench

Use this skill for reproducible Skippy cache benchmark evidence. The goal is to compare production cache payloads only: ResidentKv for dense families and KvRecurrent for recurrent/hybrid families. Do not report FullState as a production cache mode.

Workflow

Run the reproducible wrapper. It builds by default, then runs full-GGUF baselines, Hugging Face use-case prompts, and the README report renderer:
```
evals/skippy-cache-family-bench.sh /tmp/skippy-cache-family-bench
```

For fast iteration after a build, skip the build step:

SKIPPY_CACHE_SKIP_BUILD=1 evals/skippy-cache-family-bench.sh /tmp/skippy-cache-family-bench

If running the pieces manually, keep these matched settings for full-GGUF family baselines:

LLAMA_STAGE_BUILD_DIR=.deps/llama-build/build-stage-abi-cpu \
  python3 evals/skippy-cache-production-bench.py \
    --output-dir /tmp/skippy-cache-family-bench/full-gguf \
    --runtime-lane-count 1 \
    --llama-parallel 1 \
    --prefix-tokens 128

Run the use-case benchmark matrix against the same family set:

LLAMA_STAGE_BUILD_DIR=.deps/llama-build/build-stage-abi-cpu \
  python3 evals/skippy-cache-production-bench.py \
    --output-dir /tmp/skippy-cache-family-bench/use-cases \
    --runtime-lane-count 1 \
    --llama-parallel 1 \
    --prefix-tokens 128 \
    --use-case all

Render README-ready tables from the combined JSON outputs:

python3 evals/skippy-cache-family-report.py \
  --input /tmp/skippy-cache-family-bench/full-gguf/production-cache-bench.json \
  --input /tmp/skippy-cache-family-bench/use-cases/production-cache-bench.json \
  --output /tmp/skippy-cache-family-bench/readme-tables.md

Reporting Rules

Keep rows and columns ordered by related family: Qwen3Next, Falcon-H1, Llama, Qwen3 dense, DeepSeek2, GLM-4.7 Flash, GLM4, Gemma4 A4B, Gemma4 E4B, Gemma3, Gemma2, OLMo, MiniMax M2.7.
Always report Skippy versus llama-server for full-GGUF rows.
Keep DeepSeek3 in package-only evidence unless a machine can run a monolithic full-GGUF llama-server baseline.
Use one generated token and matched prefix tokens for apples-to-apples rows.
If a family fails correctness, leave the benchmark row out of promoted README evidence and explain the failure in crates/skippy-cache/TODO.md.
Preserve raw outputs under /tmp/... or another explicit run directory; do not paste ad hoc numbers without the backing production-cache-bench.json.