morinaa/super-chess-qwen
The morinaa/super-chess-qwen model is a 1.5 billion parameter language model with a 32768 token context length. This model is based on the Qwen architecture, developed by morinaa. While specific differentiators are not detailed, its compact size and substantial context window suggest potential for efficient processing of longer sequences in specialized applications.
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Model Overview
The morinaa/super-chess-qwen is a 1.5 billion parameter language model, featuring a substantial context length of 32768 tokens. Developed by morinaa, this model is based on the Qwen architecture. The model card indicates that further details regarding its specific training, capabilities, and intended use cases are currently "More Information Needed."
Key Characteristics
- Parameter Count: 1.5 billion parameters, offering a balance between computational efficiency and performance.
- Context Length: A large 32768 token context window, enabling the processing and understanding of extensive input sequences.
- Architecture: Built upon the Qwen model family.
Current Status and Limitations
As per the provided model card, detailed information regarding the model's development, specific applications, performance benchmarks, and potential biases or limitations is not yet available. Users are advised that direct and downstream use cases, as well as training data and procedures, require further documentation. Recommendations for responsible use will be provided once more information is available.