simcop2387/text-generation-webui-mirror
1
0
Fork 0
mirror of https://github.com/oobabooga/text-generation-webui.git synced 2025-06-07 06:06:20 -04:00
Code Issues Projects Releases Packages Wiki Activity

UI: Use total VRAM (not free) for layers calculation when a model is loaded

Browse source
This commit is contained in:
oobabooga 2025-05-16 19:19:22 -07:00
parent 4bf763e1d9
commit 0f77ff9670
1 changed files with 15 additions and 6 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

21
modules/models_settings.py
View file

@ -379,12 +379,15 @@ def estimate_vram(gguf_file, gpu_layers, ctx_size, cache_type):
return vram
def get_nvidia_free_vram():
def get_nvidia_vram(return_free=True):
"""
Calculates the total free VRAM across all NVIDIA GPUs by parsing nvidia-smi output.
Calculates VRAM statistics across all NVIDIA GPUs by parsing nvidia-smi output.
Args:
return_free (bool): If True, returns free VRAM. If False, returns total VRAM.
Returns:
int: The total free VRAM in MiB summed across all detected NVIDIA GPUs.
int: Either the total free VRAM or total VRAM in MiB summed across all detected NVIDIA GPUs.
Returns -1 if nvidia-smi command fails (not found, error, etc.).
Returns 0 if nvidia-smi succeeds but no GPU memory info found.
"""
@ -412,17 +415,21 @@ def get_nvidia_free_vram():
# No GPUs found in expected format
return 0
total_vram_mib = 0
total_free_vram_mib = 0
for used_mem_str, total_mem_str in matches:
try:
used_mib = int(used_mem_str)
total_mib = int(total_mem_str)
total_vram_mib += total_mib
total_free_vram_mib += (total_mib - used_mib)
except ValueError:
# Skip malformed entries
pass
return total_free_vram_mib
# Return either free or total VRAM based on the flag
return total_free_vram_mib if return_free else total_vram_mib
except FileNotFoundError:
# nvidia-smi not found (likely no NVIDIA drivers installed)
@ -473,8 +480,10 @@ def update_gpu_layers_and_vram(loader, model, gpu_layers, ctx_size, cache_type,
# No user setting, auto-adjust from the maximum
current_layers = max_layers # Start from max
# Auto-adjust based on available VRAM
available_vram = get_nvidia_free_vram()
# Auto-adjust based on available/total VRAM
# If a model is loaded and it's for the UI, use the total VRAM to avoid confusion
return_free = False if (for_ui and shared.model_name not in [None, 'None']) else True
available_vram = get_nvidia_vram(return_free=return_free)
if available_vram > 0:
tolerance = 906
while current_layers > 0 and estimate_vram(model, current_layers, ctx_size, cache_type) > available_vram - tolerance: