Khyatimirani/pcos-fertility-llama3-8b
Khyatimirani/pcos-fertility-llama3-8b is a 3.2 billion parameter LlamaForCausalLM model, fine-tuned by Khyatimirani from unsloth/llama-3.2-3b-instruct. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster training. It features a context length of 32768 tokens and is designed for causal language modeling tasks, likely specialized for applications related to PCOS and fertility given its naming convention.
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PCOS Fertility Llama3-8b Overview
Khyatimirani/pcos-fertility-llama3-8b is a 3.2 billion parameter LlamaForCausalLM model, developed by Khyatimirani. It is a fine-tuned version of the unsloth/llama-3.2-3b-instruct base model, leveraging the Unsloth library and Huggingface's TRL for accelerated training, achieving 2x faster fine-tuning. This model is configured with a substantial maximum position embedding of 131072, supporting a context length of 32768 tokens, making it suitable for processing longer sequences.
Key Capabilities
- Efficient Fine-tuning: Benefits from Unsloth for significantly faster training times.
- Causal Language Modeling: Designed for generative text tasks.
- Extended Context Handling: Supports a large context window of 32768 tokens, useful for detailed analysis or generation.
Good for
- Applications requiring a specialized Llama-3 based model with efficient training.
- Tasks involving long text sequences where a large context window is beneficial.
- Research and development in areas potentially related to PCOS and fertility, given the model's specific naming.