SQLCoder 7B 2
SQLCoder 7B 2 is released 2024-02-05 in the SQLCoder family with open-weight; evaluate it while provider pricing coverage matures.
Use it for
- Teams evaluating general LLM work
- Workloads that can use a 32k context window
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
- SQLCoder
- Released
- 2024-02-05
- Context
- 32k
- Parameters
- 7B
- Architecture
- Decoder Only
- Specialization
- general
- Openness
- Open weights
- License
- CC-BY-SA-4.0Commercial use: conditional
- Weights
- Unknown
- Code
- Unknown
- Training
- Fine-tuned
No tracked provider token pricing is available yet.
About
SQLCoder-7B-2 is a large language model developed by Defog, Inc., designed to translate natural language questions into SQL queries, effectively bridging the gap for non-technical users to interact with databases. With its 7 billion parameters, this model is fine-tuned from the CodeLlama-7B base and operates efficiently on consumer-grade hardware. Its key capabilities include high accuracy in text-to-SQL tasks, particularly with complex queries like joins, while focusing on PostgreSQL syntax. SQLCoder-7B-2 is accessible via open-source platforms like Hugging Face and integrates with tools to facilitate user-friendly database querying interfaces.
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.
No tracked provider token pricing is available yet.