Qwerky 72B (free)

featherless/qwerky-72b:free

Created Mar 20, 202532,768 context

$0/M input tokens$0/M output tokens

Qwerky-72B is a linear-attention RWKV variant of the Qwen 2.5 72B model, optimized to significantly reduce computational cost at scale. Leveraging linear attention, it achieves substantial inference speedups (>1000x) while retaining competitive accuracy on common benchmarks like ARC, HellaSwag, Lambada, and MMLU. It inherits knowledge and language support from Qwen 2.5, supporting approximately 30 languages, making it suitable for efficient inference in large-context applications.

Qwerky 72B (free)

featherless/qwerky-72b:free

Created Mar 20, 202532,768 context

$0/M input tokens$0/M output tokens

Qwerky-72B is a linear-attention RWKV variant of the Qwen 2.5 72B model, optimized to significantly reduce computational cost at scale. Leveraging linear attention, it achieves substantial inference speedups (>1000x) while retaining competitive accuracy on common benchmarks like ARC, HellaSwag, Lambada, and MMLU. It inherits knowledge and language support from Qwen 2.5, supporting approximately 30 languages, making it suitable for efficient inference in large-context applications.

Sample code and API for Qwerky 72B (free)

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