Add training dataset metadata to the model card

README.md

@@ -17,6 +17,20 @@ tags:
   - tercet
 pipeline_tag: text-generation
 library_name: tiny_gdn
+datasets:
+  - HuggingFaceFW/fineweb-edu
+  - HuggingFaceTB/smoltalk2
+  - HuggingFaceTB/smoltalk
+  - nvidia/Llama-Nemotron-Post-Training-Dataset
+  - open-thoughts/OpenThoughts3-1.2M
+  - teknium/OpenHermes-2.5
+  - open-r1/Mixture-of-Thoughts
+  - CohereLabs/aya_dataset
+  - NousResearch/hermes-function-calling-v1
+  - simplescaling/s1K-1.1
+  - allenai/tulu-3-sft-personas-instruction-following
+  - Salesforce/xlam-function-calling-60k
+  - THUDM/LongAlign-10k
 base_model: kerzgrr/Tercet-base
 ---
 
@@ -130,9 +144,9 @@ Same TinyGDN hybrid as [`Tercet-base`](https://huggingface.co/kerzgrr/Tercet-bas
 
 | Stage | Details |
 |-------|---------|
-| **Base** | FineWeb-Edu pretrain → [`Tercet-base`](https://huggingface.co/kerzgrr/Tercet-base) |
-| **Mid-SFT** | SmolTalk2 mid mix (`runs/tercet-r-sft`) |
-| **Instruct SFT** | SmolTalk2 instruct mix, seq 16,384, AdamW 5×10⁻⁵, 61.1 hours |
+| **Base** | [HuggingFaceFW/fineweb-edu](https://huggingface.co/datasets/HuggingFaceFW/fineweb-edu) → [`Tercet-base`](https://huggingface.co/kerzgrr/Tercet-base) |
+| **Mid-SFT** | [HuggingFaceTB/smoltalk2](https://huggingface.co/datasets/HuggingFaceTB/smoltalk2) Mid: [Llama-Nemotron-Post-Training-Dataset](https://huggingface.co/datasets/nvidia/Llama-Nemotron-Post-Training-Dataset) + [OpenThoughts3-1.2M](https://huggingface.co/datasets/open-thoughts/OpenThoughts3-1.2M) |
+| **Instruct SFT** | [HuggingFaceTB/smoltalk2](https://huggingface.co/datasets/HuggingFaceTB/smoltalk2) SFT (SmolTalk, OpenHermes-2.5, OpenThoughts3, Aya, Hermes function calling, s1K, Tulu-3 personas IF, xLAM, LongAlign, Mixture-of-Thoughts, …), seq 16,384, AdamW 5×10⁻⁵, 61.1 hours |
 | **Checkpoint** | optimizer step 4,500 (latest complete instruct snapshot) |
 | **Weights** | EMA (this repo's `model.safetensors`) |
 | **Val loss (EMA)** | 1.744 (ppl 5.72) |