ZhichengLiao/Code_Math_FFT_lr1e-6_global_step_272
ZhichengLiao/Code_Math_FFT_lr1e-6_global_step_272 is a 2 billion parameter language model developed by ZhichengLiao. This model has a context length of 32768 tokens. Due to the lack of specific details in its model card, its primary differentiators and intended use cases are not explicitly defined, suggesting it may be a foundational or experimental model.
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Model Overview
This model, ZhichengLiao/Code_Math_FFT_lr1e-6_global_step_272, is a 2 billion parameter language model with a substantial context length of 32768 tokens. Developed by ZhichengLiao, it is hosted on the Hugging Face Hub as a transformers model.
Key Characteristics
- Parameter Count: 2 billion parameters.
- Context Length: Supports a context window of 32768 tokens.
- Developer: ZhichengLiao.
Current Status
The model card indicates that many details regarding its specific architecture, training data, intended uses, and performance metrics are currently marked as "More Information Needed." This suggests it may be an early release or an experimental model where detailed documentation is still pending.
Usage Considerations
Given the limited information, users should be aware that the model's specific capabilities, potential biases, risks, and limitations are not yet documented. Further details are required to determine its suitability for direct or downstream applications.