SvalTek/L3-SpicyOmelettes-10B-Base1
SvalTek/L3-SpicyOmelettes-10B-Base1 is a 15 billion parameter Llama-based language model developed by SvalTek, fine-tuned from SvalTek/L3-SpicyOmelettes-10B-Test. This model was trained using Unsloth and Huggingface's TRL library, achieving a 2x speed improvement during its fine-tuning process. With an 8192 token context length, it is designed for applications benefiting from efficient Llama architecture and optimized training. It is suitable for general language generation tasks where a Llama-based model with efficient training is beneficial.
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Model Overview
SvalTek/L3-SpicyOmelettes-10B-Base1 is a 15 billion parameter Llama-based language model developed by SvalTek. It is a fine-tuned iteration of the SvalTek/L3-SpicyOmelettes-10B-Test model, leveraging an efficient training methodology.
Key Characteristics
- Architecture: Llama-based model.
- Parameter Count: 15 billion parameters.
- Context Length: Supports an 8192 token context window.
- Training Efficiency: Fine-tuned with Unsloth and Huggingface's TRL library, resulting in a 2x faster training process compared to standard methods.
- License: Distributed under the Apache-2.0 license.
Intended Use Cases
This model is suitable for developers and researchers looking for a Llama-based model that benefits from optimized and accelerated fine-tuning. Its efficient training process makes it a good candidate for applications requiring a robust language model with a focus on development speed and resource optimization.