# FunctionGemma 270M Physical AI — function-token format
# Function tokens (<tool_N>) + <end> terminator. ~8-15 output tokens per call.
# Optimized for CPU decode on small Cortex-A55 / similar edge targets.

FROM ./functiongemma-physical-ai-Q4_K_M.gguf

PARAMETER temperature 0
PARAMETER top_p 1
PARAMETER num_ctx 1024
PARAMETER num_predict 80

# Function-token format terminators + base-model end-of-turn
PARAMETER stop "<end>"
PARAMETER stop "<end_of_turn>"
PARAMETER stop "<eos>"

# Use base model's chat template — training data is in messages+tools form,
# the tokenizer's chat_template.jinja already handles it.