AliMaatouk/Gemma-2-2B-Tele-it
The AliMaatouk/Gemma-2-2B-Tele-it model is a 2.6 billion parameter instruction-tuned language model based on Google's Gemma-2-2B architecture. It is specifically specialized for telecommunications, fine-tuned using Alpaca and Open-instruct datasets. This model excels at following instructions related to telecommunications topics and has a context length of 8192 tokens.
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Model Overview
Gemma-2-2B-Tele-it is an instruction-tuned variant of the Gemma-2-2B-Tele model, which itself is built upon Google's gemma-2-2b architecture. This 2.6 billion parameter model has been specialized for the telecommunications domain.
Key Capabilities
- Telecommunications Specialization: Fine-tuned to understand and generate content specifically within the telecommunications field.
- Instruction Following: Optimized through Supervised Fine-tuning (SFT) using a combination of the Alpaca and Open-instruct datasets, enabling it to follow instructions effectively.
- Extended Context Window: Features an 8192-token context length, allowing for processing longer prompts and generating more extensive responses.
Use Cases
This model is particularly well-suited for applications requiring detailed explanations or responses concerning telecommunications concepts, such as explaining Shannon capacity or other technical terms. Its instruction-following capabilities make it useful for generating specific information based on user queries in this specialized domain.
For more technical details, refer to the associated paper: Tele-LLMs: A Series of Specialized Large Language Models for Telecommunications.