Alpha-VLLM/LLaMA2-Accessory
An open-source toolkit for pretraining, finetuning, and deploying Large Language Models and multimodal LLMs.
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LLaMA2-Accessory is an open-source toolkit that supports the complete development cycle of LLMs and multimodal LLMs, including pretraining, finetuning, and deployment. The toolkit includes SPHINX, a versatile multimodal large language model that combines diverse training tasks and visual embeddings, along with tools like Large-DiT for image generation tasks. It extends from LLaMA-Adapter with additional features for training and serving models.
Frequently asked
- What is Alpha-VLLM/LLaMA2-Accessory?
- An open-source toolkit for pretraining, finetuning, and deploying Large Language Models and multimodal LLMs.
- Is LLaMA2-Accessory open source?
- Yes — Alpha-VLLM/LLaMA2-Accessory is an open-source project tracked on heatdrop.
- What language is LLaMA2-Accessory written in?
- Alpha-VLLM/LLaMA2-Accessory is primarily written in Python.
- How popular is LLaMA2-Accessory?
- Alpha-VLLM/LLaMA2-Accessory has 2.8k stars on GitHub.
- Where can I find LLaMA2-Accessory?
- Alpha-VLLM/LLaMA2-Accessory is on GitHub at https://github.com/Alpha-VLLM/LLaMA2-Accessory.