OpenChat Models by Alignment Lab AI
Last refreshed 2026-05-19. Next refresh: weekly.
Details
About
OpenChat is a family of open-source large language models (LLMs) acclaimed for their efficiency and innovative training techniques. These models employ C-RLFT (Conditioned Reinforcement Learning from Human Feedback) for fine-tuning, enabling them to learn from mixed-quality data without explicit preference labels. This approach allows OpenChat models to perform comparably to much larger closed-source models like ChatGPT. The project provides both model weights and API-compatible code, facilitating easy deployment. OpenChat includes various model versions, each designed with different base models and datasets, and is continuously updated with new features and improvements 145.
Decision facts
- Best fit
- coding
- Capability starting point
- OpenChat 8K with 8k context
- Lowest tracked input
- Not tracked
- Closest related family
- MOSS-Audio
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 2k context and 13B parameters.
Use when the workload needs 8k context and 13B parameters.
Use when the workload needs 8k context and 13B parameters.
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| OpenChat | Use when the workload needs 2k context and 13B parameters. | 2023-11 | 2k context13B parameters | Current |
| OpenChat 8K | Use when the workload needs 8k context and 13B parameters. | 2023-11 | 8k context13B parameters | Current |
| OpenCoderPlus | Use when the workload needs 8k context and 13B parameters. | 2023-11 | 8k context13B parameters | Current |
Release Timeline
1 release groupSpecifications(3 models)
| Model | Released | Context | Parameters |
|---|---|---|---|
| OpenChat | 2023-11 | 2k | 13B |
| OpenChat 8K | 2023-11 | 8k | 13B |
| OpenCoderPlus | 2023-11 | 8k | 13B |

