Stable Beluga 2 vs LLaMA
Side-by-side comparison · Other
Stable Beluga 2
Stability AI's 70B instruction-following model based on Llama 2
Stable Beluga 2 is a 70-billion parameter language model from Stability AI, fine-tuned on Llama 2 70B using an Orca-style supervised dataset for improved instruction adherence. It supports system prompts and multi-turn conversation, making it suitable for chat applications and complex task completion. Available on Hugging Face under a non-commercial license, it targets researchers and enterprise AI teams.
Visit Stable Beluga 2LLaMA
Meta's efficient foundational LLM released for open research
LLaMA (Large Language Model Meta AI) is a foundational language model released by Meta AI in sizes ranging from 7B to 65B parameters, designed to be more compute-efficient than comparable models. Despite its smaller size, LLaMA outperforms GPT-3 on many benchmarks when fine-tuned. It was released for non-commercial research use and became the base for numerous community fine-tuned models like Alpaca and Vicuna.
Visit LLaMA| Feature | Stable Beluga 2 | LLaMA |
|---|---|---|
| Category | Other | Other |
| Pricing | Paid | Paid |
| Upvotes | 0 | 0 |
| Source | GitHub Awesome List | GitHub Awesome List |