Open-weight local LLM

SQLCoder (15B)

Specialized text-to-SQL model. Generates SQL queries from natural language. 135K downloads.

16 GB sweet spot 12 GB RAM Q4_K_M Coding assistant
Parameters
15B
Minimum RAM
12 GB
Model size
9 GB
Quantization
Q4_K_M

Can SQLCoder (15B) run locally?

SQLCoder (15B) is a practical pick for 16 GB machines, especially with Q4_K_M quantization.

Search for sqlcoder-15b in LM Studio or another GGUF-compatible runtime.

codepower

Install path

01
Check RAM fitMinimum 12 GB RAM. Start with the Q4_K_M quant.
02
Load the modelSearch sqlcoder-15b in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Strengths

  • Specialized text-to-SQL model. Generates SQL queries from natural language. 135K downloads.

Limitations

  • Performance depends on quantization, RAM bandwidth and runtime support.

Best use cases

  • code
  • power

Capability profile

speed
6
quality
6
coding
8
reasoning
6

Technical notes

Developer
sqlcoder
License
See model repository
Context window
Unknown tokens
Architecture
See model card

This model fits these next steps

Hardware fit is based on LocalClaw's RAM tier, model size and quantization metadata. Always leave memory headroom for your OS and runtime.

Where to go next