LLM Reference

OpenChat Models by Alignment Lab AI

Alignment Lab AIOpen Source
3 models2023Up to 8k ctx

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.

Current Variants

Use-when guidance is derived from seed capabilities, context, release, and replacement fields.

3 in view
OpenChatCurrent

Use when the workload needs 2k context and 13B parameters.

2023-112k context13B parameters

Use when the workload needs 8k context and 13B parameters.

2023-118k context13B parameters

Use when the workload needs 8k context and 13B parameters.

2023-118k context13B parameters

Release Timeline

1 release group
2023-11
3 current
OpenChat
2k context13B parameters
Current
OpenChat 8K
8k context13B parameters
Current
OpenCoderPlus
8k context13B parameters
Current

Specifications(3 models)

OpenChat model specifications comparison
ModelReleasedContextParameters
OpenChat2023-112k13B
OpenChat 8K2023-118k13B
OpenCoderPlus2023-118k13B

Frequently Asked Questions

What is OpenChat used for?
OpenChat is used for coding. The family description and listed model capabilities point to those workloads as the best fit.
How does OpenChat compare to MOSS-Audio?
OpenChat by Alignment Lab AI is strongest where you need coding, while MOSS-Audio by MOSI Intelligence is the closest related family to check for multimodal. OpenChat has 3 listed variants and reaches up to 8k context, so compare the specs and pricing tables before choosing a production model.
Which OpenChat model should I use?
If price is the main constraint, use the pricing table first because OpenChat does not have complete provider pricing in the local data. For the most capable/latest local choice, evaluate OpenChat 8K with 8k context.

Models(3)