AyaanAhmed123/Spark_one
AyaanAhmed123/Spark_one is a fine-tuned language model based on unsloth/Qwen2.5-Coder-3B-Instruct-bnb-4bit, developed by AyaanAhmed123. This model specializes in instruction-following tasks, leveraging its base architecture for general text generation. It was trained using the TRL framework, making it suitable for conversational AI and question-answering applications.
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Model Overview
AyaanAhmed123/Spark_one is an instruction-tuned language model derived from the unsloth/Qwen2.5-Coder-3B-Instruct-bnb-4bit base model. It has been fine-tuned using the TRL library, a framework for Transformer Reinforcement Learning, to enhance its ability to follow instructions and generate coherent text.
Key Capabilities
- Instruction Following: Optimized for responding to user prompts and instructions effectively.
- Text Generation: Capable of generating human-like text based on given inputs.
- Conversational AI: Suitable for applications requiring interactive dialogue and question answering.
Training Details
The model underwent a Supervised Fine-Tuning (SFT) process. The training utilized specific versions of key libraries:
- TRL: 0.24.0
- Transformers: 5.5.0
- Pytorch: 2.11.0+cu128
- Datasets: 4.3.0
- Tokenizers: 0.22.2
Usage
This model can be easily integrated into Python projects using the transformers library, as demonstrated in the quick start example provided in its repository. It is designed for tasks where a model needs to understand and execute specific instructions from a user.