CompassioninMachineLearning/pretrainingBasellama3kv3
CompassioninMachineLearning/pretrainingBasellama3kv3 is an 8 billion parameter Llama-based language model developed by CompassioninMachineLearning. This model was pre-trained and optimized for efficiency, utilizing Unsloth and Huggingface's TRL library for 2x faster training. It offers a 32768 token context length, making it suitable for applications requiring processing of longer sequences.
Loading preview...
Model Overview
CompassioninMachineLearning/pretrainingBasellama3kv3 is an 8 billion parameter Llama-based language model developed by CompassioninMachineLearning. This model is notable for its efficient pre-training process, which leveraged Unsloth and Huggingface's TRL library to achieve a 2x speedup in training.
Key Characteristics
- Architecture: Llama-based model.
- Parameter Count: 8 billion parameters.
- Context Length: Supports a 32768 token context window.
- Training Efficiency: Pre-trained with Unsloth and Huggingface's TRL library for accelerated development.
- License: Released under the Apache-2.0 license.
Potential Use Cases
This model is well-suited for developers and researchers looking for an efficiently trained Llama-based model with a substantial context window. Its optimized training process suggests potential benefits in scenarios where rapid iteration or resource-conscious deployment is important.