ccui46/cookingworld_per_chunk_act_q3_tokfix_diffPrompt_lowerLR_tformerPin_1000
The ccui46/cookingworld_per_chunk_act_q3_tokfix_diffPrompt_lowerLR_tformerPin_1000 model is an 8 billion parameter language model with a 32768 token context length. Developed by ccui46, this model is a transformer-based architecture. Its specific fine-tuning or primary differentiator is not detailed in the provided information, suggesting it may be a base model or one with an unspecified specialized application.
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Model Overview
This model, developed by ccui46, is an 8 billion parameter language model with a substantial context length of 32768 tokens. It is a transformer-based architecture, pushed to the Hugging Face Hub. The provided model card indicates that it is a general-purpose model, with specific details regarding its training data, fine-tuning, and intended applications marked as "More Information Needed."
Key Characteristics
- Parameter Count: 8 billion parameters
- Context Length: 32768 tokens
- Architecture: Transformer-based
Usage and Limitations
The model card currently lacks specific information on direct use cases, downstream applications, or out-of-scope uses. Similarly, details regarding its training data, hyperparameters, and evaluation results are not provided. Users should be aware of these limitations and the absence of information regarding potential biases, risks, or specific recommendations for its deployment. Further details are required to understand its optimal application and performance characteristics.