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Update app.py
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app.py
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@@ -36,7 +36,11 @@ def generate_image(text):
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logging.error("Failed to generate image: %s", str(error))
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raise gr.Error("An error occurred while generating the image. Please check your API key and try again.")
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-
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# Constants
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MAX_MAX_NEW_TOKENS = 2048
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@@ -63,7 +67,12 @@ if torch.cuda.is_available():
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bnb_4bit_quant_type="nf4",
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bnb_4bit_compute_dtype=torch.bfloat16
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)
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model = PeftModel.from_pretrained(base_model, "ranamhamoud/storytellai-2.0")
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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tokenizer.pad_token = tokenizer.eos_token
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logging.error("Failed to generate image: %s", str(error))
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raise gr.Error("An error occurred while generating the image. Please check your API key and try again.")
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rope_scaling = {
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'type': 'linear', # Adjust the type to the appropriate scaling type for your model.
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'factor': 8.0 # Use the intended scaling factor.
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}
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# Constants
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MAX_MAX_NEW_TOKENS = 2048
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bnb_4bit_quant_type="nf4",
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bnb_4bit_compute_dtype=torch.bfloat16
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)
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base_model = AutoModelForCausalLM.from_pretrained(
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model_id,
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device_map="auto",
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quantization_config=bnb_config,
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rope_scaling=rope_scaling # Add this only if your model specifically requires it.
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)
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model = PeftModel.from_pretrained(base_model, "ranamhamoud/storytellai-2.0")
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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tokenizer.pad_token = tokenizer.eos_token
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