New tool optimizes multi-GPU tensor splits for Qwen models in llama.cpp

A new tool, dual-gpu-tuner, has been released to help optimize the use of multiple GPUs with the llama.cpp framework, specifically for Qwen models. This tool assists users in calculating the `--override-tensor` parameter, which is crucial for fine-tuning tensor allocation across GPUs to maximize context length and VRAM utilization. The process involves restarting the model, running probe scripts generated by the tool, and then relaunching the model to evaluate the results, with support for Linux and potential adaptation for Windows. AI

IMPACT Enables more efficient use of hardware for running large language models locally.

RANK_REASON Release of a new utility tool for optimizing existing software.

Read on r/LocalLLaMA →

• dual-gpu-tuner
• llama.cpp
• Qwen
• Raspberry Pi

• infra
• product

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →