yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_KLEff_reg2_checkpoint-175
The yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_KLEff_reg2_checkpoint-175 is a 4 billion parameter language model developed by yunjae-won. This model is a checkpoint from a training run, indicating it is likely a base or intermediate model. Its specific architecture and primary differentiators are not detailed in the provided information, suggesting it may be a general-purpose model or part of an ongoing research effort. Further details on its fine-tuning or specific capabilities are not available.
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Model Overview
This model, yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_KLEff_reg2_checkpoint-175, is a 4 billion parameter language model developed by yunjae-won. It represents a specific checkpoint from a training process, suggesting it is either a foundational model or an intermediate step in a larger development. The model's context length is noted as 32768 tokens.
Key Characteristics
- Parameter Count: 4 billion parameters.
- Context Length: Supports a substantial context window of 32768 tokens.
- Development Stage: Appears to be a checkpoint from a training run, indicating ongoing development or a base model.
Limitations and Considerations
As per the provided model card, specific details regarding the model's architecture, training data, intended uses, biases, risks, and evaluation results are currently marked as "More Information Needed." Users should be aware that without these details, the model's full capabilities, limitations, and appropriate use cases are not clearly defined. It is recommended to seek further documentation from the developer for comprehensive understanding before deployment.