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Update readme for LM-Studio Usage

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  1. README.md +15 -3
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@@ -136,9 +136,21 @@ All evaluations were conducted using **[simple-eval](https://github.com/Nikityyy
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  ## 🚀 How to Use
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- ### 1. SimpleAI SDK (Recommended for Easy Use)
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- The easiest way to get started with Lille is by using the `simpleai-sdk`, which handles all the boilerplate for you and provides a simple, high-level API for both Hugging Face and ONNX backends.
 
 
 
 
 
 
 
 
 
 
 
 
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  ```bash
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  pip install simpleai-sdk
@@ -169,7 +181,7 @@ response = model.generate(prompt, max_new_tokens=50, temperature=0.9)
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  print(f"\n--- Completion Example ---\n{prompt}{response}")
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  ```
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- ### 2. Standard Hugging Face Transformers (this also needs `simpleai-sdk` currently)
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  You can also use the model directly with the `transformers` library for more advanced use cases.
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  ## 🚀 How to Use
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+ There are several ways to use the Lille models, from easy-to-use graphical interfaces to advanced programmatic control.
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+ ### 1. LM Studio (Easiest for Chat)
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+ LM Studio provides a simple graphical interface to run LLMs on your local machine. It's the easiest way to start chatting with Lille.
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+ 1. **Download & Install:** Get [LM Studio](https://lmstudio.ai/) for your operating system (Windows, Mac, or Linux).
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+ 2. **Search for the Model:** Open LM Studio and click the **magnifying glass** icon on the left.
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+ 3. **Find Lille:** In the search bar, type `Lille` or `Nikity`. You will find the models I have uploaded.
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+ 4. **Download a GGUF:** On the right-hand side, you'll see a list of GGUF files. Download a recommended version like `lille-130m-instruct-f16.gguf`.
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+ 5. **Chat:** Click the **speech bubble** icon on the left. At the top, select the model you just downloaded. Now you can start a conversation!
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+ ### 2. SimpleAI SDK (Recommended for Programmatic Use)
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+ The easiest way to use Lille programmatically is with the `simpleai-sdk`, which handles all the boilerplate for you and provides a simple, high-level API for both Hugging Face and ONNX backends.
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  ```bash
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  pip install simpleai-sdk
 
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  print(f"\n--- Completion Example ---\n{prompt}{response}")
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  ```
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+ ### 3. Standard Hugging Face Transformers (this also needs `simpleai-sdk` currently)
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  You can also use the model directly with the `transformers` library for more advanced use cases.
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