director probe: drop presence_penalty, use dtype=

kaggle/director_probe.py

@@ -79,7 +79,7 @@ def main() -> None:
     OUT.mkdir(parents=True, exist_ok=True)
     log(f"loading {MODEL_ID}")
     tok = AutoTokenizer.from_pretrained(MODEL_ID)
-    model = AutoModelForCausalLM.from_pretrained(MODEL_ID, torch_dtype=torch.float16).cuda().eval()
+    model = AutoModelForCausalLM.from_pretrained(MODEL_ID, dtype=torch.float16).cuda().eval()
     log(f"loaded, {sum(p.numel() for p in model.parameters())/1e6:.0f}M params")
 
     msgs = [{"role": "user", "content": PROMPT}]
@@ -92,7 +92,7 @@ def main() -> None:
         with torch.no_grad():
             gen = model.generate(**ids, max_new_tokens=512, do_sample=True,
                                  temperature=0.8, top_p=0.9, top_k=20,
-                                 presence_penalty=1.0, repetition_penalty=1.05,
+                                 repetition_penalty=1.05,
                                  pad_token_id=tok.eos_token_id)
         raw = tok.decode(gen[0][ids["input_ids"].shape[1]:], skip_special_tokens=True)
         dt = time.time() - t0