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# RWKV Model
Recursal AI
Recursal AI is dedicated to making AI technology accessible to everyone, regardless of language or country. Their products include featherless.ai, RWKV, and recursal cloud. Featherless.ai offers instant, serverless Hugging Face model inference services; RWKV is a next-generation foundational model that supports over 100 languages, cutting inference costs by 100 times; recursal cloud allows users to easily fine-tune and deploy the RWKV model. The main advantages of these products and technologies are their ability to lower the barriers to AI technology, enhance efficiency, and support multilingualism, which is crucial for enterprises and developers in a global context.
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Sudoku RWKV
Sudoku-RWKV is a Sudoku solving tool based on the RWKV model, leveraging deep learning techniques to tackle Sudoku problems. This model has been specifically trained to handle a large number of Sudoku samples, achieving a high rate of accuracy in solving puzzles. Background information indicates that the model was trained using approximately 2M Sudoku samples, covering around 39.2B tokens, with about 12.7M parameters, a vocabulary size of 133, and an architecture consisting of 8 layers, each with 320 dimensions. The main advantages of this model are its efficiency and high accuracy, enabling it to solve any solvable Sudoku puzzle.
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