somukandula/cx-filler-model
The somukandula/cx-filler-model is a 1 billion parameter instruction-tuned causal language model developed by somukandula. This model is finetuned from unsloth/Llama-3.2-1B-Instruct-unsloth-bnb-4bit, leveraging Unsloth for accelerated training. It is designed for general language understanding and generation tasks, offering a compact yet capable solution for various applications.
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Model Overview
The somukandula/cx-filler-model is a 1 billion parameter instruction-tuned language model developed by somukandula. It is finetuned from the unsloth/Llama-3.2-1B-Instruct-unsloth-bnb-4bit base model, utilizing the Unsloth library for efficient and accelerated training. This approach allowed for a 2x faster training process compared to standard methods, integrating with Huggingface's TRL library.
Key Characteristics
- Base Model: Finetuned from
unsloth/Llama-3.2-1B-Instruct-unsloth-bnb-4bit. - Parameter Count: 1 billion parameters, offering a balance between performance and computational efficiency.
- Training Efficiency: Leverages Unsloth for significantly faster finetuning.
- Context Length: Supports a context length of 32768 tokens.
Intended Use Cases
This model is suitable for a range of general-purpose language tasks where a compact and efficiently trained model is beneficial. Its instruction-tuned nature makes it adaptable for various prompts and conversational applications.