AliMaatouk/Llama-3.2-1B-Tele-it

Model Overview

AliMaatouk/Llama-3.2-1B-Tele-it is an instruction-tuned language model derived from Meta's Llama-3.2-1B, specifically specialized in the telecommunications domain. It was fine-tuned using Supervised Fine-tuning (SFT) on a combination of the Alpaca and Open-instruct datasets to enhance its ability to follow instructions.

Key Capabilities

• Telecommunications Specialization: Built upon a base model already specialized in telecommunications, making it suitable for tasks within this field.
• Instruction Following: Fine-tuned with diverse instruction datasets (Alpaca, Open-instruct) to accurately interpret and respond to user prompts.
• Extended Context Window: Features a context length of 8192 tokens, allowing for processing longer inputs and generating more comprehensive responses.

Usage and Application

This model is particularly well-suited for generating explanations, answering questions, and processing information related to telecommunications. Its instruction-following capabilities make it adaptable for various NLP tasks within this specialized area. For example, it can explain complex concepts like Shannon capacity, as demonstrated in its usage examples. Developers can easily integrate it using the transformers library, with provided code snippets for both CPU and GPU environments.

For more detailed information, including the underlying research, refer to the associated paper: Tele-LLMs: A Series of Specialized Large Language Models for Telecommunications.