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Handling bloom prefix.
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bd998d8797
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@ -74,7 +74,7 @@ class BLOOMSharded(CausalLM):
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torch.distributed.barrier(group=self.process_group)
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filenames = weight_files(model_id, revision=revision, extension=".safetensors")
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weights = Weights(
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filenames, device=device, dtype=dtype, process_group=self.process_group
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filenames, device=device, dtype=dtype, process_group=self.process_group, prefix="transformer",
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)
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if config.quantize == "gptq":
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weights._set_gptq_params(model_id)
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@ -16,6 +16,7 @@ class Weights:
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dtype,
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process_group,
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aliases: Optional[Dict[str, List[str]]] = None,
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prefix: Optional[str] = None
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):
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routing = {}
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for filename in filenames:
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@ -33,6 +34,7 @@ class Weights:
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self.device = device
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self.dtype = dtype
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self.process_group = process_group
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self.prefix = prefix
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self._handles = {}
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def _get_handle(self, filename):
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@ -43,15 +45,22 @@ class Weights:
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return self._handles[filename]
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def get_filename(self, tensor_name: str) -> (str, str):
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filename = self.routing.get(tensor_name, None)
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if filename is None:
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aliases = self.aliases.get(tensor_name, [])
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names = [tensor_name]
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if self.prefix is not None:
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prefixed = f"{self.prefix}.{tensor_name}"
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names.append(prefixed)
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for name in names:
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filename = self.routing.get(name, None)
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if filename is not None:
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return str(filename), name
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aliases = self.aliases.get(name, [])
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for alias in aliases:
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filename = self.routing.get(alias, None)
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if filename is not None:
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return str(filename), alias
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raise RuntimeError(f"weight {tensor_name} does not exist")
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return str(filename), tensor_name
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raise RuntimeError(f"weight {tensor_name} does not exist")
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def _get_slice(self, tensor_name: str):
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filename, tensor_name = self.get_filename(tensor_name)
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