Merge Lora adapters with a base model
Evaluate reward models for math reasoning
Open Persian LLM Leaderboard
Compare LLM performance across benchmarks
Explain GPU usage for model training
Measure execution times of BERT models using WebGPU and WASM
Launch web-based model application
View RL Benchmark Reports
Calculate GPU requirements for running LLMs
Create and upload a Hugging Face model card
Run benchmarks on prediction models
Benchmark LLMs in accuracy and translation across languages
Generate leaderboard comparing DNA models
Merge Lora is a tool designed for model benchmarking that enables users to merge LoRA (Low-Rank Adaptation) adapters with a base model. It provides a seamless way to combine multiple adapters, enhancing the model's capabilities while maintaining efficiency. Merge Lora is particularly useful for users working with large language models and seeking to integrate specialized adapters for diverse tasks.
What is the purpose of Merge Lora?
Merge Lora is designed to simplify the process of combining LoRA adapters with a base model, allowing users to leverage specialized adapters for various tasks without retraining the model from scratch.
Can I merge multiple adapters at once?
Yes, Merge Lora supports the merging of multiple LoRA adapters into a single model, provided they are compatible.
Is Merge Lora compatible with all LoRA adapters?
While Merge Lora is designed to work with most LoRA adapters, compatibility depends on the specific adapters and base models used. Always perform a compatibility check before merging.