Replit Code Models by Replit
Last refreshed 2026-05-19. Next refresh: weekly.
Details
About
The Replit Code family comprises a set of large language models (LLMs) adept in code completion, aiding developers by generating and completing code snippets, and providing code suggestions. Trained on extensive datasets, including open-source code and StackExchange data, these models support multiple programming languages. Replit emphasizes open-source principles, making these models accessible on platforms like Hugging Face to foster community engagement and further innovation. The Code family offers models of varying scales, with newer versions demonstrating enhanced performance and expanded language support. However, like other LLMs, they may occasionally produce inappropriate content based on their training data 2311.
Decision facts
- Best fit
- coding
- Capability starting point
- Replit Code with 4k context
- Lowest tracked input
- Not tracked
- Closest related family
- SWE-1
Current Variants
Use-when guidance is based on each model's tracked capabilities, context window, release date, and replacement status.
Use when the workload needs 4k context and 3B parameters.
Use when the workload needs 4k context and 3B parameters.
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| Replit Code | Use when the workload needs 4k context and 3B parameters. | 2023-06 | 4k context3B parameters | Current |
| Replit Code 1.5 | Use when the workload needs 4k context and 3B parameters. | 2023-06 | 4k context3B parameters | Current |
Release Timeline
1 release groupSpecifications(2 models)
| Model | Released | Context | Parameters |
|---|---|---|---|
| Replit Code | 2023-06 | 4k | 3B |
| Replit Code 1.5 | 2023-06 | 4k | 3B |
