Dromedary
PaidIBM Dromedary: An open-source, self-aligned LLM for helpful, ethical, and reliable AI.
About Dromedary
Dromedary is an open-source self-aligned large language model developed by IBM Research, designed to be helpful, ethical, and reliable with minimal human supervision. The project introduces a principle-driven self-alignment pipeline (SELF-ALIGN) using SFT and RLAIF (via SALMON) on LLaMA and LLaMA-2 base models. Dromedary-2 simplifies the process to two stages: diverse user prompts (ShareGPT, Dolly-15k, OpenAssistant, OpenOrca) with an improved one-shot exemplar from FastChat promoting a general-specific-general response style, and a RLAIF stage using the SALMON reward model pipeline. The model is accompanied by a NeurIPS 2023 Spotlight paper, released delta/QLoRA weights on Hugging Face, synthetic datasets, and full training/inference pipelines including model-parallel multi-GPU support.
Key Features
Pros & Cons
- Open-source with complete training and inference pipelines
- NeurIPS 2023 Spotlight paper validates the self-alignment approach
- Minimal human supervision required for alignment
- Releases delta weights (LoRA/QLoRA) and synthetic datasets for reproducibility
- Supports efficient multi-GPU model-parallel inference
- Dromedary-2 simplifies and improves alignment pipeline
- Requires base LLaMA/LLaMA-2 weights from Meta, which are not openly distributed
- Substantial GPU resources needed for 70B parameter model inference and training
- Setup complexity: merging delta weights and managing dependencies
- Primarily research-focused; not a polished end-user product
- Only supports LLaMA-based architectures
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