Habiba-Hamed/storyalive-qwen
The Habiba-Hamed/storyalive-qwen is a 1.5 billion parameter language model. This model is a Hugging Face Transformers model, automatically pushed to the Hub. Further details regarding its architecture, training, and specific optimizations are not provided in the available documentation, making its primary differentiator and specific use cases currently undefined.
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Model Overview
This model, named storyalive-qwen, is a 1.5 billion parameter language model available on the Hugging Face Hub. It is presented as a standard Hugging Face Transformers model, with its model card automatically generated upon pushing to the Hub.
Key Characteristics
- Parameter Count: 1.5 billion parameters.
- Context Length: 32768 tokens.
- Development Status: The model card indicates that significant details regarding its development, funding, specific model type, language(s), license, and finetuning origins are currently marked as "More Information Needed."
Current Limitations
Due to the lack of detailed information in the provided model card, specific capabilities, intended direct or downstream uses, and out-of-scope applications are not defined. Users should be aware that comprehensive details on bias, risks, limitations, training data, training procedures, and evaluation results are also pending. Recommendations for use are limited to a general caution about understanding potential risks and biases, as more specific information is required.