Card: link the models trained on this dataset

README.md

@@ -276,6 +276,21 @@ specification.
 - **Not independently verified.** v2 has not yet been checked with a training A/B run on `eval_core`, and has had
   no independent human review beyond the review samples.
 
+## Models trained on this dataset
+
+Three from-scratch Llama-style models were pretrained on 550M fineweb-edu tokens and then fine-tuned on all
+of `gpio_actions_v2` train for 2 epochs. Numbers are greedy exact match on `eval`, before any validator:
+
+| Model | Parameters | `eval` exact match | Pi Zero 2 W p50 (C engine, `eval_core`) |
+|---|---|---|---|
+| [gpio-llm-pico-rpi5](https://huggingface.co/AwaleSagar/gpio-llm-pico-rpi5) | 2.7M | 91.88% | 86 ms |
+| [gpio-llm-nano-rpi5](https://huggingface.co/AwaleSagar/gpio-llm-nano-rpi5) | 5.0M | 93.61% | 132 ms |
+| [gpio-llm-base-rpi5](https://huggingface.co/AwaleSagar/gpio-llm-base-rpi5) | 18.8M | 95.17% | 498 ms |
+
+The training code and the offline C inference engine are at
+[github.com/AwaleSagar/gpio-llm](https://github.com/AwaleSagar/gpio-llm). All of it is grouped in the
+[GPIO-LLM collection](https://huggingface.co/collections/AwaleSagar/gpio-llm-6aaea402d46359e24f36501b).
+
 ## Licence and attribution
 
 - **Dataset.** Released under **CC-BY-4.0**.