S
S
Home / Models / Refact 1.6B

Refact 1.6B

by Refact.ai

7.2
KYI Score

Compact code model optimized for code completion and IDE integration.

CODEBigCode OpenRAIL-MFREE1.6B
Official WebsiteHugging Face

Quick Facts

Model Size
1.6B
Context Length
4K tokens
Release Date
Oct 2023
License
BigCode OpenRAIL-M
Provider
Refact.ai
KYI Score
7.2/10

Best For

→Code completion
→IDE plugins
→Real-time suggestions

Performance Metrics

Speed

10/10

Quality

6/10

Cost Efficiency

10/10

Specifications

Parameters
1.6B
Context Length
4K tokens
License
BigCode OpenRAIL-M
Pricing
free
Release Date
October 4, 2023
Category
code

Key Features

Fast completionIDE integrationLow latencyEfficient

Pros & Cons

Pros

  • ✓Very fast
  • ✓Low resource
  • ✓Good for completion
  • ✓Easy deployment

Cons

  • !Limited capabilities
  • !Shorter context
  • !Smaller model

Ideal Use Cases

Code completion

IDE plugins

Real-time suggestions

Refact 1.6B FAQ

What is Refact 1.6B best used for?

Refact 1.6B excels at Code completion, IDE plugins, Real-time suggestions. Very fast, making it ideal for production applications requiring code capabilities.

How does Refact 1.6B compare to other models?

Refact 1.6B has a KYI score of 7.2/10, with 1.6B parameters. It offers very fast and low resource. Check our comparison pages for detailed benchmarks.

What are the system requirements for Refact 1.6B?

Refact 1.6B with 1.6B requires appropriate GPU memory. Smaller quantized versions can run on consumer hardware, while full precision models need enterprise GPUs. Context length is 4K tokens.

Is Refact 1.6B free to use?

Yes, Refact 1.6B is free and licensed under BigCode OpenRAIL-M. You can deploy it on your own infrastructure without usage fees or API costs, giving you full control over your AI deployment.

Related Models

Qwen 2.5 Coder 32B

9.2/10

Specialized coding model that excels at code generation, completion, and debugging across multiple programming languages.

code32B

DeepSeek Coder V2

9.1/10

Advanced coding model with exceptional performance on programming tasks, supporting 338 programming languages.

code236B (MoE)

StarCoder 2

8.4/10

Advanced code model trained on 600+ programming languages with strong performance.

code15B