Starling Alpha Models by Berkeley Artificial Intelligence Research (BAIR)
About
The Starling Alpha family of large language models (LLMs), developed by the Berkeley NEST team, includes models like Starling-LM-7B-alpha and Starling-LM-7B-beta. These models are fine-tuned versions of OpenChat 3.5, employing Reinforcement Learning from AI Feedback (RLAIF) 15. Leveraging the Nectar dataset and advanced reward training and policy tuning pipelines, the models excel in conversational AI, content generation, and question answering, achieving high scores on the MT Bench benchmark, with the beta version scoring 8.12 2. Available on Hugging Face and other platforms, these open-source models have restricted licenses for commercial use and competition with OpenAI 5.
Current Variants
Use-when guidance is derived from seed capabilities, context, release, and replacement fields.
Use when the workload needs 8k context and 7B parameters.
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| Starling LM 7B Alpha | Use when the workload needs 8k context and 7B parameters. | 2024-02 | 8k context7B parameters | Current |
Release Timeline
1 release groupSpecifications(1 models)
| Model | Released | Context | Parameters |
|---|---|---|---|
| Starling LM 7B Alpha | 2024-02 | 8k | 7B |
Frequently Asked Questions
- What is Starling Alpha used for?
- Starling Alpha is used for math-heavy prompts. The family description and listed model capabilities point to those workloads as the best fit.
- How does Starling Alpha compare to MOSS-Audio?
- Starling Alpha by Berkeley Artificial Intelligence Research (BAIR) is strongest where you need math-heavy prompts, while MOSS-Audio by MOSI Intelligence is the closest related family to check for multimodal. Starling Alpha has 1 listed variant and reaches up to 8k context, so compare the specs and pricing tables before choosing a production model.
- Which Starling Alpha model should I use?
- If price is the main constraint, use the pricing table first because Starling Alpha does not have complete provider pricing in the local data. For the most capable/latest local choice, evaluate Starling LM 7B Alpha with 8k context.
