--- license: apache-2.0 base_model: aimeri/spoomplesmaxx-mockingbird-36B library_name: gguf pipeline_tag: text-generation tags: - roleplay - creative-writing language: - en --- # spoomplesmaxx-mockingbird-36B — GGUF (static) Static GGUF quants of [spoomplesmaxx-mockingbird-36B](https://huggingface.co/aimeri/spoomplesmaxx-mockingbird-36B), the first of the mimids. Weighted/imatrix quants (calibrated on the model's own training corpus) live in [-i1-GGUF](https://huggingface.co/aimeri/spoomplesmaxx-mockingbird-36B-i1-GGUF); prefer those at 3–4 bit if your runtime supports them. | Quant | Size | Notes | |---|---|---| | Q3_K_M | ~18 GB | the 18GB target; fine with a good card | | Q4_K_S | ~21 GB | | | Q4_K_M | ~22 GB | recommended balance | | Q5_K_M | ~26 GB | closest to bf16 behavior | The seed-native chat template is embedded in the GGUF metadata — llama.cpp, koboldcpp, and LM Studio pick it up automatically. ## Sampling — read this part ``` temperature 1.0 · top_p 0.9 · repeat_penalty 1.0 (OFF) ``` > **⚠ Never use repetition, presence, or frequency penalties.** > The template ends every message with ``; context-wide penalties > suppress that token, the model stops ending its turns, and generation > degenerates into the base model's untrained Chinese vocabulary. Many > frontend presets default repeat_penalty to 1.05–1.1 — set it back to 1.0. > Use DRY or XTC if you want extra anti-repetition; both leave special > tokens alone. Usable temperature window is ~0.95–1.05: lower loops verbatim, higher frays. Full details, corpus notes, and training story on the [main model card](https://huggingface.co/aimeri/spoomplesmaxx-mockingbird-36B). *mimids 01 · Apache 2.0*