The raskladushka/Qwen2.5-Coder-0.5B-Instruct-Gensyn-Swarm-leggy_large_quail model is a 0.5 billion parameter instruction-tuned language model based on the Qwen2.5 architecture. This model is designed for general language tasks, leveraging its compact size and instruction-following capabilities. With a substantial 131,072 token context length, it is suitable for applications requiring processing of extensive inputs.
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