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Verified signature# Fügen Sie diesen Import am Anfang von app.py hinzu, falls er fehlt from transformers import BitsAndBytesConfig try: print(f"--- Starte Ladevorgang für {MODEL_NAME} mit maximaler Optimierung ---") load_in_4bit=True, bnb_4bit_quant_type="nf4", # Auf CPU ignorieren diese Parameter oft, aber sie helfen, bnb_4bit_compute_dtype=DTYPE ) tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME) model = AutoModelForCausalLM.from_pretrained( MODEL_NAME, quantization_config=bnb_config, # Versucht, es als 4-Bit zu laden device_map="auto", low_cpu_mem_usage=True, trust_remote_code=True, ) # Erstellt die Pipeline... (Rest des Codes wie gehabt) # ... print(f"Modell '{MODEL_NAME}' erfolgreich geladen und Pipeline erstellt.") except Exception as e: # ... (Rest des except-Blocks wie gehabt) print(f"FATALER FEHLER beim Laden des Modells {MODEL_NAME}: {e}") …c256396
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