yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_adaKL_reg1_neggamma0_checkpoint-100
The yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_adaKL_reg1_neggamma0_checkpoint-100 is a 4 billion parameter language model with a 32768 token context length. This model is automatically generated and pushed to the Hugging Face Hub. Further details regarding its architecture, training data, specific capabilities, and intended use cases are currently marked as "More Information Needed" in its model card.
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Model Overview
This model, yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_adaKL_reg1_neggamma0_checkpoint-100, is a 4 billion parameter language model with a substantial context length of 32768 tokens. It has been automatically generated and uploaded to the Hugging Face Hub.
Key Characteristics
- Parameter Count: 4 billion parameters, indicating a moderately sized model capable of various language tasks.
- Context Length: A large 32768 token context window, suggesting potential for processing and generating longer sequences of text.
Current Status and Information Gaps
As per its model card, specific details regarding its development, funding, model type, language(s), license, and finetuning origins are currently marked as "More Information Needed." Similarly, comprehensive information on its direct and downstream uses, out-of-scope applications, biases, risks, limitations, training data, training procedure, evaluation metrics, and results is not yet available. Users are advised to consult the model card for any future updates as more information becomes available.