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README.md
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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 Instruct </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-Instruct"
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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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