sminchoi/Llama-2-7b-hf__sql-create-context-llama2-78k__231017__1epoch
The sminchoi/Llama-2-7b-hf__sql-create-context-llama2-78k__231017__1epoch model is a 7 billion parameter Llama-2-7b-hf variant. It was trained using 4-bit quantization with nf4 quantization type and float16 compute dtype. This model is specifically fine-tuned for tasks involving SQL creation within a given context, leveraging a 4096 token context length. Its primary application is generating SQL queries based on contextual information.
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Model Overview
This model, sminchoi/Llama-2-7b-hf__sql-create-context-llama2-78k__231017__1epoch, is a 7 billion parameter variant of the Llama-2-7b-hf architecture. It has been fine-tuned with a focus on SQL creation tasks, utilizing a 4096 token context window to process relevant information.
Training Details
The model underwent training with specific bitsandbytes quantization configurations to optimize efficiency. Key aspects of its training include:
- Quantization Type:
nf4for 4-bit quantization. - Compute Data Type:
float16for computations. - PEFT Version:
0.4.0was used during the training process.
Key Capabilities
- SQL Generation: Designed to generate SQL queries based on provided context.
- Contextual Understanding: Leverages a 4096 token context length to interpret complex input for SQL creation.
Good For
- Database Interaction: Automating the generation of SQL queries from natural language or structured context.
- Developer Tools: Integrating into applications that require dynamic SQL construction.