NSQL Llama 2 7B
NSQL Llama 2 7B has model metadata, but missing tracked provider pricing keeps it from being a default production pick.
Use it for
- Teams evaluating general LLM work
Do not use it for
- Cost-sensitive launches that need sourced token pricing
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
- Family
- NSQL
- Released
- 2024-02-15
- Parameters
- 7B
- Architecture
- Decoder Only
- Specialization
- general
- Training
- finetuned
No tracked provider token pricing is available yet.
About
The NSQL Llama 2 7B model is an open-source, autoregressive large language model tailored for SQL query generation. It is based on Meta's Llama 2 7B and undergoes pre-training on a vast SQL dataset and fine-tuning with text-to-SQL pairs, enhancing its ability to convert natural language prompts into precise SQL queries. The model excels in long-context scenarios and complex queries, including multi-table joins and nested queries. It’s readily accessible on Hugging Face, encouraging community participation. Nonetheless, challenges remain in date-related calculations and might require further fine-tuning for specific domains.
NSQL Llama 2 7B is a model in the NSQL family. No headline benchmark score is tracked for NSQL Llama 2 7B yet.
Top use-case fit
No primary decision-task fit is mapped for this model yet.
Provider price ladder
No tracked provider token pricing is available for this model yet.
Capabilities
No model capability flags are currently sourced.
Benchmark peer barsfor Coding
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.