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@@ -48,7 +48,16 @@ outputs = pipeline(
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  )
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  print(outputs[0]["generated_text"][-1])
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  ```
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-
 
 
 
 
 
 
 
 
 
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  # **Intended Use**
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  1. **Multilingual Dialogue Systems**: LwQ-Reasoner-10B is designed for creating conversational agents capable of engaging in dialogues across multiple languages, making it suitable for global customer support and multilingual chatbots.
 
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  )
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  print(outputs[0]["generated_text"][-1])
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  ```
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+ # **Config and Base**
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+
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+ ```json
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+ {
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+ "_name_or_path": "prithivMLmods/Triangulum-10B",
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+ "architectures": [
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+ "LlamaForCausalLM"
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+ ]
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+ }
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+ ```
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  # **Intended Use**
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  1. **Multilingual Dialogue Systems**: LwQ-Reasoner-10B is designed for creating conversational agents capable of engaging in dialogues across multiple languages, making it suitable for global customer support and multilingual chatbots.