CompassioninMachineLearning/PretrainingBasellama3kv3_plus3khelpfullnessGRPO1epoch
The CompassioninMachineLearning/PretrainingBasellama3kv3_plus3khelpfullnessGRPO1epoch is an 8 billion parameter Llama-based language model developed by CompassioninMachineLearning, fine-tuned from the PretrainingBasellama3kv3 model. This model was trained for enhanced helpfulness using the TRL library and Unsloth, which accelerated its training process. It features an 8192 token context length and is designed for general language understanding and generation tasks.
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Model Overview
This model, developed by CompassioninMachineLearning, is an 8 billion parameter Llama-based language model. It is a fine-tuned version of the compassioninmachinelearning/PretrainingBasellama3kv3 base model, specifically optimized for helpfulness.
Key Training Details
- Base Model:
compassioninmachinelearning/PretrainingBasellama3kv3 - Training Acceleration: The model's training was significantly accelerated (2x faster) using Unsloth.
- Fine-tuning Framework: Fine-tuning was performed using Huggingface's TRL library, indicating a focus on reinforcement learning from human feedback (RLHF) or similar alignment techniques to improve helpfulness.
Intended Use
This model is suitable for applications requiring a helpful and aligned language model, leveraging the efficiency gains from Unsloth for faster deployment and iteration. Its Llama architecture and 8192 token context window make it versatile for various natural language processing tasks.