abetlen / abetlen/llama-cpp-python

After choosing to offload all layers onto the GPU, the Ram used for model loading is not released

Abierto
#1,964 0 comentarios 0 reacciones 0 asignados Ver en GitHub
Lenguaje dominante
Python
Estrellas
10.6k
Forks
1.4k
Métricas de merge de PR
Métricas de PR pendientes

Descripción

My graphics card was RTX3060 12G, the model used was Qwen2.5-7B-instruct-Q4_k_M, normally the model should only take up 4~5G VRam, so I thought the VRam of my GPU was sufficient to handle the quantization model, but I found that my Ram was occupied all the time. The amount of Ram used by each application in windows Task Manager is inconsistent with the actual total Ram usage in Windows Task Manager, and it will not be released until I finish the python script, is the Ram usage necessary or is it just a BUG?

Guía de contribución

Abrir la guía de contribución

Evaluación

Este issue todavía no se ha evaluado.

Recibe los nuevos issues en tu correo

Un resumen breve de issues de GitHub para principiantes.