animeshdinda12/my-model
The animeshdinda12/my-model is a 1 billion parameter Llama-3.2-1B-Instruct-Unsloth-BNB-4bit model, finetuned by animeshdinda12. This model was optimized for faster training using Unsloth and Huggingface's TRL library, making it suitable for applications requiring efficient deployment of instruction-tuned Llama models. It maintains a context length of 32768 tokens, offering substantial capacity for processing longer sequences.
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Model Overview
animeshdinda12/my-model is a 1 billion parameter language model, finetuned from the unsloth/llama-3.2-1b-instruct-unsloth-bnb-4bit base. Developed by animeshdinda12, this model leverages the Llama architecture and was specifically optimized for accelerated training.
Key Characteristics
- Efficient Finetuning: The model was finetuned using Unsloth and Huggingface's TRL library, enabling significantly faster training times compared to standard methods.
- Base Model: Built upon the
llama-3.2-1b-instruct-unsloth-bnb-4bitfoundation, indicating its instruction-following capabilities. - Parameter Count: Features 1 billion parameters, offering a balance between performance and computational efficiency.
- Context Length: Supports a substantial context window of 32768 tokens, allowing for processing and understanding of longer inputs.
Use Cases
This model is particularly well-suited for applications where rapid deployment of a finetuned Llama model is crucial. Its optimized training process makes it a good candidate for:
- Instruction-following tasks.
- Applications requiring a compact yet capable language model.
- Scenarios benefiting from a large context window for detailed interactions.