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README.md

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+---
+license: gemma
+base_model: google/functiongemma-270m-it
+tags:
+  - gguf
+  - function-calling
+  - tool-use
+  - llama.cpp
+---
+
+# Athena FunctionGemma-270M (fine-tuned)
+
+LoRA fine-tune of `google/functiongemma-270m-it` for Athena, the on-device HR
+assistant in [Mis-Genie](https://github.com/MAGSoft/Mis-Genie). Text query ->
+structured tool call (name + arguments) only -- never free-form text.
+
+- Real-eval launch gate (hand-written, naturally-phrased HR queries, distinct
+  from training data): **18/20 correct tool+arguments**.
+- Synthetic held-out eval: 43/46.
+- Trained on 458 examples covering 7 read-only data tools + a clarification-
+  popup fallback for underspecified queries.
+
+GGUF file (`athena-functiongemma-270m-f16.gguf`) is ready to serve directly
+with `llama-server` (raw llama.cpp, not Ollama) -- pass an explicit
+`"stop": ["<end_function_call>"]` in requests; llama-server has no built-in
+parser for this model's tool-call syntax and will otherwise keep generating
+past the call.
+
+Two known, understood gaps (not fixed by more training data):
+- Partial employee names ("Taylor" -> "Taylor Reyes") aren't resolved to full
+  names -- an entity-resolution problem for the calling application, not the
+  model.
+- One specific day-range phrasing ("between March 1st and March 15th") is
+  under-represented in training (12/458 examples) and occasionally fails to
+  generate a parseable call.