Hugging Face Model Overview
This model, named malimikinko/Qwen2.5-Coder-0.5B-Instruct-Gensyn-Swarm-furry_lively_mink, is a 0.5 billion parameter instruction-tuned language model. It features a very large context window of 131072 tokens, suggesting capabilities for processing extensive inputs or generating long-form content. The model's specific architecture is implied to be Qwen2.5-based, and it has been pushed to the Hugging Face Hub.
Key Characteristics
- Parameter Count: 0.5 billion parameters.
- Context Length: Supports an impressive 131072 tokens, enabling handling of very long sequences.
- Instruction-Tuned: Designed to follow instructions effectively for various tasks.
Limitations and Recommendations
Currently, detailed information regarding the model's specific development, training data, intended uses, biases, risks, and performance evaluations is marked as "More Information Needed" in its model card. Users should be aware of these unknowns and exercise caution, as the full scope of its capabilities and potential limitations are not yet documented. Further recommendations will be provided once more information becomes available.