xw1234gan/Main_MATH_3B_step_2
The xw1234gan/Main_MATH_3B_step_2 is a 3.1 billion parameter language model developed by xw1234gan, featuring a 32768 token context length. This model is a fine-tuned transformer, though specific architectural details are not provided in the available documentation. Its primary characteristics and intended use cases are not explicitly detailed, suggesting it may be a foundational or intermediate step in a larger project. Further information is needed to determine its specific optimizations or strengths.
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Overview
This model, xw1234gan/Main_MATH_3B_step_2, is a 3.1 billion parameter language model with a context length of 32768 tokens. The available model card indicates it is a Hugging Face Transformers model, but specific details regarding its architecture, training data, and development funding are marked as "More Information Needed."
Key Characteristics
- Parameter Count: 3.1 billion parameters.
- Context Length: Supports a substantial 32768 tokens.
- Developer: xw1234gan.
Intended Use
Due to the lack of detailed information in the provided model card, the direct and downstream uses, as well as specific biases, risks, and limitations, are not clearly defined. Users are advised that more information is needed to understand its capabilities and appropriate applications. The model card suggests that users should be aware of potential risks and limitations, which are currently unspecified.
Training Details
Information regarding the training data, procedure, hyperparameters, and evaluation results is currently unavailable. The model card indicates that these sections require further details to be provided.