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djw 2025-07-25 17:22:20 +00:00
parent 1677e90092
commit d03d92ba53
31 changed files with 2265 additions and 74 deletions
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18
ktransformers/util/custom_loader.py
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@ -138,8 +138,12 @@ class SafeTensorLoader(ModelLoader):
base_key = key # e.g. "model.layers.3.mlp.experts"
experts_count = 0
key_no_proj = False
if self.has_tensor(f"{base_key}.{experts_count}.up.weight"):
key_no_proj = True
# First, count how many experts we have by checking for expert 0's up_proj
while self.has_tensor(f"{base_key}.{experts_count}.up_proj.weight"):
while self.has_tensor(f"{base_key}.{experts_count}.up_proj.weight") or self.has_tensor(f"{base_key}.{experts_count}.up.weight"):
experts_count += 1
if experts_count == 0:
@ -152,9 +156,15 @@ class SafeTensorLoader(ModelLoader):
# Load all expert weights
for expert_id in range(experts_count):
up_key = f"{base_key}.{expert_id}.up_proj.weight"
gate_key = f"{base_key}.{expert_id}.gate_proj.weight"
down_key = f"{base_key}.{expert_id}.down_proj.weight"
if key_no_proj:
up_key = f"{base_key}.{expert_id}.up.weight"
gate_key = f"{base_key}.{expert_id}.gate.weight"
down_key = f"{base_key}.{expert_id}.down.weight"
else:
up_key = f"{base_key}.{expert_id}.up_proj.weight"
gate_key = f"{base_key}.{expert_id}.gate_proj.weight"
down_key = f"{base_key}.{expert_id}.down_proj.weight"
up_tensor = self.load_tensor(up_key, device)
gate_tensor = self.load_tensor(gate_key, device)