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            license: apache-2.0
         
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            ---
         
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            ## Chat Template
         
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            The chat template is formatted as:
         
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            <|assistant|>
         
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            Thank you for asking! As an AI, I don't have feelings, but I'm functioning normally and ready to assist you. How can I help you today?<|endoftext|>
         
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            ```
         
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            license: apache-2.0
         
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            ---
         
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            <h1 align="center"> Moxin 7B Reasoning </h1>
         
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            <p align="center"> <a href="https://github.com/moxin-org/Moxin-LLM">Home Page</a>    |    <a href="https://arxiv.org/abs/2412.06845">Technical Report</a>    |    <a href="https://huggingface.co/moxin-org/Moxin-7B-LLM">Base Model</a>    |    <a href="https://huggingface.co/moxin-org/Moxin-7B-Chat">Chat Model</a>     |     <a href="https://huggingface.co/moxin-org/Moxin-7B-Instruct">Instruct Model</a>    |     <a href="https://huggingface.co/moxin-org/Moxin-7B-Reasoning">Reasoning Model</a>     |     <a href="https://huggingface.co/moxin-org/Moxin-7B-VLM">VLM Model</a> </p>
         
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            ## Chat Template
         
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            The chat template is formatted as:
         
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            <|assistant|>
         
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            Thank you for asking! As an AI, I don't have feelings, but I'm functioning normally and ready to assist you. How can I help you today?<|endoftext|>
         
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            ```
         
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            ## Inference
         
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            You can use the following code to run inference with the model. 
         
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            ```
         
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            import transformers
         
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            import torch
         
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            model_id = "moxin-org/Moxin-7B-Reasoning"
         
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            pipeline = transformers.pipeline(
         
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                "text-generation",
         
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                model=model_id,
         
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                model_kwargs={"torch_dtype": torch.bfloat16},
         
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                device_map="auto",
         
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            )
         
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            messages = [
         
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                {"role": "system", "content": "You are a helpful AI assistant!"},
         
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                {"role": "user", "content": "How are you doing?"},
         
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            ]
         
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            outputs = pipeline(
         
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                messages,
         
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                max_new_tokens=1024,
         
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            )
         
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            print(outputs[0]["generated_text"][-1])
         
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            ```
         
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