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@@ -39,3 +39,18 @@ inputs = tokenizer(text, return_tensors="pt")
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  outputs = model.generate(inputs["input_ids"], max_length=50)
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  print(tokenizer.decode(outputs[0], skip_special_tokens=True))
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  outputs = model.generate(inputs["input_ids"], max_length=50)
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  print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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+ ```
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+ ## GGUF Format
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+
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+ The model is also available in GGUF (Generic Git-based Unified Format), which allows for easy integration and deployment in LMStudio. This format ensures that the model can be imported directly into LMStudio for seamless use and further customization.
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+ ## Ollama Integration
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+ For users preferring to work with Ollama, a dedicated version of this model is available and can be installed using the following Ollama command:
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+ ```bash
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+ ollama run llama3-gl-chat
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+ ```
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+