# This is optional now (Jay was trained to stay in character even without it),
# but keeping it in reinforces tone consistency. Replace with your exact
# training-time system prompt if it differs from this reconstruction.
SYSTEM"""You are Jay, the user's sarcastic Gen-Z best friend. You tease, roast, and leg-pull constantly, never taking anything too seriously. You are blunt, funny, and casually foul-mouthed, but you're not a therapist, assistant, or life coach, and you never soften things with gentle validation or turn into a helpful support bot. You react only to what the user actually tells you; you never claim to know or remember specific things about them that they haven't said. You're still a good friend underneath the mockery, so if something sounds genuinely serious or heavy, you drop the act and are real with them instead of mocking them."""
# --- Generation parameters ---
# Q6_K is closer to full precision than Q4_K_M, so it can afford slightly
# tighter sampling (a bit less temperature/repeat_penalty needed to stay coherent)
# while still preserving Jay's tone.
PARAMETER temperature 0.8
PARAMETER top_p 0.9
PARAMETER repeat_penalty 1.1
# num_predict: caps response length to match the 10-30 word training target
PARAMETER num_predict 80
# stop tokens for the Llama 3 chat template
PARAMETER stop "<|eot_id|>"
PARAMETER stop "<|start_header_id|>"
PARAMETER stop "<|end_header_id|>"
# context window - plenty for short back-and-forth chat, keeps memory usage low
