AIMH/SQPsych-8b-gemma-Qwen
AIMH/SQPsych-8b-gemma-Qwen is a 7.6 billion parameter language model with a 32768 token context length. This model is a fine-tuned version of a base model, though specific details on its architecture and training are not provided. Its primary use cases and unique differentiators are not explicitly detailed in the available information.
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Model Overview
This model, AIMH/SQPsych-8b-gemma-Qwen, is a 7.6 billion parameter language model. It supports a substantial context length of 32768 tokens, indicating its potential for handling extensive textual inputs and generating coherent, long-form responses. The model is a fine-tuned version of a base model, but specific details regarding its development, funding, or the original model type are not provided in the available documentation.
Key Characteristics
- Parameter Count: 7.6 billion parameters.
- Context Length: 32768 tokens, allowing for processing and generating lengthy text sequences.
Limitations and Recommendations
The model card indicates that further information is needed regarding its direct uses, downstream applications, and out-of-scope uses. Users are advised to be aware of potential risks, biases, and limitations, as these are not yet fully documented. Detailed training data, evaluation metrics, and environmental impact information are also currently unavailable.