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@ -882,7 +882,12 @@ class CausalLM(Model):
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if load_to_meta:
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if load_to_meta:
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# model loaded to meta is managed differently
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# model loaded to meta is managed differently
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checkpoints_json = tempfile.NamedTemporaryFile(suffix=".json", mode="+w")
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checkpoints_json = tempfile.NamedTemporaryFile(suffix=".json", mode="+w")
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checkpoint_files = [str(f) for f in weight_files(model_id, revision=revision, extension=".safetensors")]
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checkpoint_files = [
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str(f)
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for f in weight_files(
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model_id, revision=revision, extension=".safetensors"
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)
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]
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data = {"type": "ds_model", "checkpoints": checkpoint_files, "version": 1.0}
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data = {"type": "ds_model", "checkpoints": checkpoint_files, "version": 1.0}
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json.dump(data, checkpoints_json)
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json.dump(data, checkpoints_json)
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checkpoints_json.flush()
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checkpoints_json.flush()
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@ -1017,7 +1017,12 @@ class VlmCausalLM(Model):
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if load_to_meta:
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if load_to_meta:
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# model loaded to meta is managed differently
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# model loaded to meta is managed differently
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checkpoints_json = tempfile.NamedTemporaryFile(suffix=".json", mode="+w")
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checkpoints_json = tempfile.NamedTemporaryFile(suffix=".json", mode="+w")
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checkpoint_files = [str(f) for f in weight_files(model_id, revision=revision, extension=".safetensors")]
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checkpoint_files = [
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str(f)
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for f in weight_files(
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model_id, revision=revision, extension=".safetensors"
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)
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]
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data = {"type": "ds_model", "checkpoints": checkpoint_files, "version": 1.0}
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data = {"type": "ds_model", "checkpoints": checkpoint_files, "version": 1.0}
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json.dump(data, checkpoints_json)
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json.dump(data, checkpoints_json)
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checkpoints_json.flush()
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checkpoints_json.flush()
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