[Model] Remap FP8 kv_scale in CommandR and DBRX (#9174)

vllm-project · Oct 9, 2024 · cdc72e3 · cdc72e3
1 parent 7627172
commit cdc72e3
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Showing 2 changed files with 14 additions and 2 deletions.
diff --git a/vllm/model_executor/models/commandr.py b/vllm/model_executor/models/commandr.py
@@ -41,7 +41,8 @@
 from vllm.model_executor.layers.vocab_parallel_embedding import (
     VocabParallelEmbedding)
 from vllm.model_executor.model_loader.weight_utils import (
-    default_weight_loader, row_parallel_weight_loader)
+    default_weight_loader, maybe_remap_kv_scale_name,
+    row_parallel_weight_loader)
 from vllm.model_executor.sampling_metadata import SamplingMetadata
 from vllm.model_executor.utils import set_weight_attrs
 from vllm.sequence import IntermediateTensors
@@ -426,6 +427,11 @@ def load_weights(self, weights: Iterable[Tuple[str, torch.Tensor]]):
                 # Skip loading extra bias for GPTQ models.
                 if name.endswith(".bias") and name not in params_dict:
                     continue
+                # Remapping the name of FP8 kv-scale.
+                name = maybe_remap_kv_scale_name(name, params_dict)
+                if name is None:
+                    continue
+
                 if is_pp_missing_parameter(name, self):
                     continue
                 param = params_dict[name]

diff --git a/vllm/model_executor/models/dbrx.py b/vllm/model_executor/models/dbrx.py
@@ -18,7 +18,8 @@
 from vllm.model_executor.layers.sampler import Sampler, SamplerOutput
 from vllm.model_executor.layers.vocab_parallel_embedding import (
     DEFAULT_VOCAB_PADDING_SIZE, ParallelLMHead, VocabParallelEmbedding)
-from vllm.model_executor.model_loader.weight_utils import default_weight_loader
+from vllm.model_executor.model_loader.weight_utils import (
+    default_weight_loader, maybe_remap_kv_scale_name)
 from vllm.model_executor.sampling_metadata import SamplingMetadata
 from vllm.sequence import IntermediateTensors
 from vllm.transformers_utils.configs.dbrx import DbrxConfig
@@ -425,6 +426,11 @@ def load_weights(self, weights: Iterable[Tuple[str, torch.Tensor]]):
                 weight_loader(param, loaded_weight, weight_name)
                 break
             else:
+                # Remapping the name of FP8 kv-scale.
+                name = maybe_remap_kv_scale_name(name, params_dict)
+                if name is None:
+                    continue
+
                 if is_pp_missing_parameter(name, self):
                     continue
                 param = params_dict[name]