Explain GPU usage for model training
Quantize a model for faster inference
Display LLM benchmark leaderboard and info
Measure BERT model performance using WASM and WebGPU
Explore and manage STM32 ML models with the STM32AI Model Zoo dashboard
Run benchmarks on prediction models
Display and submit LLM benchmarks
Measure execution times of BERT models using WebGPU and WASM
Leaderboard of information retrieval models in French
View LLM Performance Leaderboard
View and compare language model evaluations
Evaluate LLM over-refusal rates with OR-Bench
Browse and filter machine learning models by category and modality
LLM Conf talk is a model benchmarking tool designed to help users understand and optimize GPU usage during the training of large language models (LLMs). It provides detailed insights into hardware utilization, enabling more efficient model training and resource management.
1. What models does LLM Conf talk support?
LLM Conf talk is compatible with most popular LLM architectures, including but not limited to GPT, BERT, and T5.
2. Can I use LLM Conf talk for real-time monitoring?
Yes, LLM Conf talk offers real-time GPU usage monitoring, making it ideal for live training sessions.
3. Is LLM Conf talk free to use?
LLM Conf talk is currently available as an open-source tool, making it free for use and modification.