XGenerationLab/XiYanSQL-QwenCoder-32B-2412
The XiYanSQL-QwenCoder-32B-2412 model, developed by XGenerationLab, is a 32 billion parameter large language model specifically designed for text-to-SQL tasks. It demonstrates strong performance in SQL generation, achieving a 69.03% EX score on the BIRD TEST set, setting a new state-of-the-art for single fine-tuned models. This model supports multiple SQL dialects including SQLite, PostgreSQL, and MySQL, making it highly versatile for database interaction and SQL model fine-tuning.
Hugging Face Popular Sampler Settings
Most commonly used values from Featherless users
temperature
This setting influences the sampling randomness. Lower values make the model more deterministic; higher values introduce randomness. Zero is greedy sampling.
top_p
This setting controls the cumulative probability of considered top tokens. Must be in (0, 1]. Set to 1 to consider all tokens.
top_k
This limits the number of top tokens to consider. Set to -1 to consider all tokens.
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frequency_penalty
This setting penalizes new tokens based on their frequency in the generated text. Values > 0 encourage new tokens; < 0 encourages repetition.
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presence_penalty
This setting penalizes new tokens based on their presence in the generated text so far. Values > 0 encourage new tokens; < 0 encourages repetition.
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repetition_penalty
This setting penalizes new tokens based on their appearance in the prompt and generated text. Values > 1 encourage new tokens; < 1 encourages repetition.
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min_p
This setting representing the minimum probability for a token to be considered relative to the most likely token. Must be in [0, 1]. Set to 0 to disable.
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