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- ---
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- language:
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- - en
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- license: apache-2.0
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- tags:
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- - text-generation-inference
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- - transformers
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- - unsloth
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- - mistral
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- - trl
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- - sft
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- base_model: unsloth/Phi-3-mini-4k-instruct-bnb-4bit
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- ---
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-
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- # Uploaded model
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-
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- - **Developed by:** beingjammy
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- - **License:** apache-2.0
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- - **Finetuned from model :** unsloth/Phi-3-mini-4k-instruct-bnb-4bit
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-
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- This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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-
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- [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
 
 
 
 
 
 
 
 
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+ The uploaded model is a fine-tuned version of the Phi-3-mini model, designed for telecom customer support tasks. Here are the key details:
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+ - **Developer**: beingjammy
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+ - **License**: Apache-2.0
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+ - **Base Model**: unsloth/Phi-3-mini-4k-instruct-bnb-4bit
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+
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+ ### Highlights
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+ - **Training Efficiency**: The model was trained 2x faster using [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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+ - **Purpose**: Fine-tuned specifically for handling telecom customer support queries.
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+ - **Model Benefits**:
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+ - **Efficiency**: Optimized for faster training without compromising performance.
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+ - **Specialization**: Tailored to understand and respond to customer support issues in the telecom sector.
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+
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+ ### Usage
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+ This model can be integrated into customer support systems to provide automated responses, streamline support processes, and improve customer satisfaction by providing quick and accurate answers to common queries.
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+
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+ ### Resources
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+ - **Unsloth**: A tool for optimizing and speeding up the training process.
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+ - [Unsloth GitHub](https://github.com/unslothai/unsloth)
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+ - **TRL Library**: Used for fine-tuning transformer models.
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+ - [Huggingface's TRL Library](https://github.com/huggingface/trl)
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+ ![Unsloth Made with Love](https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png)
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+
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+ ### License
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+ The model is distributed under the Apache-2.0 license, which allows for both commercial and non-commercial use, modification, and distribution.