Jan 27, 2025 · To address this challenge, we introduce a new adapter, Cross-Model Low-Rank Adaptation (LoRA-X), which enables the training-free transfer of LoRA parameters across source and target models, eliminating the need for original or synthetic training data.

X-LoRA works by learning scaling values for LoRA adapters. These learned scalings values are used to gate the LoRA experts in a dense fashion. Additionally, all LoRA adapters and the base model are frozen, allowing efficient fine tuning due to a low parameter count.

LoRAX (LoRA eXchange) is a framework that allows users to serve thousands of fine-tuned models on a single GPU, dramatically reducing the cost of serving without compromising on throughput or latency.

Feb 11, 2024 · We report a mixture of expert strategy to create fine-tuned large language models using a deep layer-wise token-level approach based on low-rank adaptation (LoRA).

Mixture of LoRA Experts (X-LoRA) is a PEFT method enabling sparse or dense mixture of LoRA experts based on a high granularity (token, layer, sequence) scalings matrix. This leverages frozen LoRA adapters and a frozen base model to drastically reduces the number of parameters that need to be fine-tuned.

[LoRA] LoRA is a lightweight adapter to fine-tune large-scale pretrained model. It is widely used for style or identity customization in diffusion models. You can download LoRA from the diffusion community (e.g., civitai).

LoRAX (LoRA eXchange) is a framework that allows users to serve thousands of fine-tuned models on a single GPU, dramatically reducing the cost of serving without compromising on throughput or latency.

Oct 18, 2023 · LoRA Exchange (LoRAX) is a new approach to LLM serving infrastructure specifically designed for serving many fine-tuned models at once using a shared set of GPU resources. Compared with conventional dedicated LLM deployments, LoRAX consists of three novel components:

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Nov 16, 2023 · LoRAX (LoRA eXchange), allows users to pack 100s fine-tuned models into a single GPU and thus dramatically reduce the cost of serving. LoRAX is open-source, free to use commercially, and production-ready, with pre-built docker images and Helm charts available for immediate download and use.