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[Fix] Fix llava on multi images (#1247)

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This commit is contained in:
Lianmin Zheng
2024-08-28 06:33:05 -07:00
committed by GitHub
parent b1a540ec42
commit bf53bf5142
22 changed files with 272 additions and 488 deletions
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7
python/sglang/srt/models/llama_embedding.py
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@@ -57,6 +57,9 @@ class LlamaEmbeddingModel(nn.Module):
# Models trained using ColossalAI may include these tensors in
# the checkpoint. Skip them.
return
if name.startswith("model.vision_tower") and name not in params_dict:
return
for param_name, weight_name, shard_id in stacked_params_mapping:
if weight_name not in name:
continue
@@ -64,8 +67,6 @@ class LlamaEmbeddingModel(nn.Module):
# Skip loading extra bias for GPTQ models.
if name.endswith(".bias") and name not in params_dict:
continue
if name.startswith("model.vision_tower") and name not in params_dict:
continue
param = params_dict[name]
weight_loader = param.weight_loader
weight_loader(param, loaded_weight, shard_id)
@@ -74,8 +75,6 @@ class LlamaEmbeddingModel(nn.Module):
# Skip loading extra bias for GPTQ models.
if name.endswith(".bias") and name not in params_dict:
return
if name.startswith("model.vision_tower") and name not in params_dict:
return
param = params_dict[name]
weight_loader = getattr(param, "weight_loader", default_weight_loader)
weight_loader(param, loaded_weight)