Prefortune-pss/Mistral-ATM-SQL-Production
The Prefortune-pss/Mistral-ATM-SQL-Production model is a 7 billion parameter language model developed by Prefortune-pss. It is designed for specific production use cases, likely involving SQL generation or interaction, given its name. With a context length of 4096 tokens, it is suitable for tasks requiring moderate input and output lengths.
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Overview
The Prefortune-pss/Mistral-ATM-SQL-Production model is a 7 billion parameter language model developed by Prefortune-pss. This model is intended for specific production environments, with its naming suggesting a focus on SQL-related tasks, potentially for automated transaction management (ATM) systems or database interactions. The model has a context length of 4096 tokens, allowing it to process and generate responses for moderately sized inputs.
Key Characteristics
- Developer: Prefortune-pss
- Parameter Count: 7 billion parameters
- Context Length: 4096 tokens
- Intended Use: Production environments, likely involving SQL generation or database interaction, as indicated by "SQL-Production" in its name.
Limitations and Recommendations
The model card indicates that more information is needed regarding its specific development, training, and evaluation details. Users should be aware of potential biases, risks, and limitations, and it is recommended to seek further documentation for comprehensive understanding before deployment. The model's specific strengths and weaknesses are not detailed in the provided information, necessitating careful testing for any particular use case.