Llama 3 SQLCoder 8B
Llama 3 SQLCoder 8B has model metadata, but missing tracked provider pricing keeps it from being a default production pick.
Use it for
- Teams evaluating general LLM work
- Workloads that can use a 8k 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
- 2024-05-09
- Context
- 8k
- Parameters
- 8B
- Architecture
- Decoder Only
- Specialization
- general
- Training
- finetuned
About
Llama 3 SQLCoder 8B is an advanced large language model by Defog AI, deriving from Meta's Llama 3-8B-Instruct framework. It specializes in translating natural language into SQL queries for databases like Postgres, Redshift, and Snowflake, aiding those without SQL expertise. With 8 billion parameters, it excels in complex queries and rivals leading LLMs in text-to-SQL tasks. Key improvements include enhanced instruction-following capabilities and quantized versions for efficiency. This model supports automation in SQL generation, text-based database interactions, data analysis, and SQL education, with adaptability to diverse queries and database schemas. The developers have made a demo page and model weights available on Hugging Face, and a 70B parameter version is in development.
Llama 3 SQLCoder 8B is an open-source model in the SQLCoder family. The structured metadata tracks a 8k-token context window. No headline benchmark score is tracked for Llama 3 SQLCoder 8B 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.