open sourcecode

DBRX Instruct

Advanced code generation and reasoning model by Databricks.

Developed by Databricks

Official Site
1.5BParams
YesAPI Available
stableStability
1.0Version
Apache 2.0License
PyTorchFramework
NoRuns Locally
Real-World Applications
  • Automated code generationOptimized Capability
  • Code refactoringOptimized Capability
  • Bug detectionOptimized Capability
  • Data analysis scriptingOptimized Capability
Implementation Example
Example Prompt
Generate a Python function to compute the Fibonacci sequence.
Model Output
"def fibonacci(n):\n if n <= 0:\n return []\n elif n == 1:\n return [0]\n elif n == 2:\n return [0, 1]\n else:\n fib_seq = [0, 1]\n for i in range(2, n):\n fib_seq.append(fib_seq[-1] + fib_seq[-2])\n return fib_seq"
Advantages
  • ✓ Highly optimized for technical problem-solving and tool integrations.
  • ✓ Fine-tuned capabilities enable it to understand complex coding queries.
  • ✓ Open-source nature encourages community contributions and enhancements.
Limitations
  • ✗ Can struggle with very domain-specific or niche coding requirements.
  • ✗ Initial setup may require technical expertise.
  • ✗ Dependency on internet connection for optimal performance.
Model Intelligence & Architecture

Technical Documentation

DBRX Instruct leverages advanced neural architecture to offer powerful capabilities in generating, debugging, and enhancing code. Tailored for software developers and data scientists, it simplifies complex programming tasks through intuitive interactions.

Technical Specification Sheet
Technical Details
Architecture
Causal Decoder-only Transformer
Stability
stable
Framework
PyTorch
Signup Required
No
API Available
Yes
Runs Locally
No
Release Date
2025-04-12

Best For

Software developers, data scientists, and technical problem solvers.

Alternatives

GitHub Copilot, Codex, OpenAI API

Pricing Summary

Free to use with open-source licensing.

Compare With

DBRX Instruct vs GPT-4DBRX Instruct vs ChatGPTDBRX Instruct vs CodexDBRX Instruct vs GitHub Copilot

Explore Tags

#llm#code-generation

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