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Update README.md

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  1. README.md +3 -4
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@@ -22,11 +22,11 @@ As Dolphy 1.0 and Qwen3 2507 Instruct models share the same base, Dolphy 1.0 is
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  You can also find this model in upcoming Dolphy AI releases.
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  **How to run locally**
 
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  For running locally we recommend using our GGUF models for fast inference. Nonetheless you can run the safetensors by using Hugging Face Transformers.
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  Our model requires no steps before inference and are ready.
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  ```
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- {
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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  model_name = "Dolphy-AI/Dolphy-1.0"
@@ -38,7 +38,7 @@ print("Type 'exit' to quit.\n")
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  while True:
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  user_input = input("Enter your prompt: ")
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  if user_input.lower() == "exit":
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- print("Goodbye!")
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  break
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  # Tokenize and generate
@@ -47,9 +47,8 @@ while True:
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  # Decode and print result
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  response = tokenizer.decode(outputs[0], skip_special_tokens=True)
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- print("\nModel response:\n", response, "\n")
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- }
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  ```
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  ## Available Model files:
 
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  You can also find this model in upcoming Dolphy AI releases.
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  **How to run locally**
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+ <br></br>
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  For running locally we recommend using our GGUF models for fast inference. Nonetheless you can run the safetensors by using Hugging Face Transformers.
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  Our model requires no steps before inference and are ready.
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  ```
 
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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  model_name = "Dolphy-AI/Dolphy-1.0"
 
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  while True:
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  user_input = input("Enter your prompt: ")
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  if user_input.lower() == "exit":
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+ print("Goodbye! Thank you for using Dolphy 1.0")
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  break
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  # Tokenize and generate
 
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  # Decode and print result
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  response = tokenizer.decode(outputs[0], skip_special_tokens=True)
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+ print("\nDolphy 1.0 response:\n", response, "\n")
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  ```
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  ## Available Model files: