# Reproducible method — Laguna-S-2.1 Spark pack Personal reproducible method. ## Pins (card freeze) | Item | Value | |------|--------| | Base model | `poolside/Laguna-S-2.1` | | Base revision | `00af5a51782109b587a3b3bbf11875e566036fa7` | | Official GGUF repo | `poolside/Laguna-S-2.1-GGUF` | | GGUF revision | `fc4e481289523cf7d0df668da6d1d391616141ca` | | Default weight | `laguna-s-2.1-Q4_K_M.gguf` | | Q4_K_M sha256 | `a8b55c75714ea73fd90ec85de5defdc0b8d88ca0ad2108343cdd8fc22f7583e4` | | Engine | `github.com/poolsideai/llama.cpp` branch `laguna` | | Hardware | DGX Spark GB10 only | ## Steps 1. Read OpenMDW-1.1 on the base model card/LICENSE. Accept constraints before redistribute. 2. Build engine per `SPARK.md` (CUDA `121` → `121a`, `llama-server`). 3. Record `git rev-parse HEAD` of the engine tree into `results/engine_sha.txt`. 4. Download official GGUF (not a DIY re-quant unless you will measure a real delta): ```bash huggingface-cli download poolside/Laguna-S-2.1-GGUF \ laguna-s-2.1-Q4_K_M.gguf \ --revision fc4e481289523cf7d0df668da6d1d391616141ca \ --local-dir ~/models/laguna-s-2.1 sha256sum -c SHA256SUMS ``` 5. Serve (`SPARK.md`), confirm `curl /v1/models` → 200. 6. `llama-bench` @ prompt 2048 and 8192; save stdout to `results/llama_bench_q4km.txt`. 7. `python scripts/bench_server.py --ctx-mark 2k --ctx-mark 8k`. 8. `python eval/agent_smoke/run_smoke.py --out results/smoke_q4km.json`. 9. Populate the tables in `SPARK.md` from those files only — never invent. 10. Publish pack (docs + results + scripts). **Host GGUF binary only if you have a measured unique artifact**; otherwise ship digests + download commands (S5). ## Personal HF publish surface - User: `hizrianraz` (personal) - Repo id: `hizrianraz/laguna-s-2.1-spark` - Card framing: personal measurements only; no org product claims ## DIY quant policy Only if: 1. Official/Unsloth GGUF cannot load or is >10% worse on agent_smoke pass rate or tg tok/s at same ctx, **and** 2. You publish method + imatrix/source commit + full sha256 + smoke numbers Otherwise: official GGUF + Spark delta docs only.