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vllm/transformers_utils/configs/speculators/algos.py
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vllm/transformers_utils/configs/speculators/algos.py
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# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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SUPPORTED_SPECULATORS_TYPES = {}
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def register_speculator(name):
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def decorator(fn):
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SUPPORTED_SPECULATORS_TYPES[name] = fn
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return fn
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return decorator
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@register_speculator("eagle3")
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def update_eagle3(config_dict: dict, vllm_config: dict) -> None:
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"""
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Apply Eagle-3 specific configuration transformations.
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Eagle-3 specific fields:
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- draft_vocab_size: Size of the draft model's vocabulary
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- target_hidden_size: Hidden size of the target model
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- norm_before_residual: Whether to apply norm before residual connection
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"""
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vllm_config["draft_vocab_size"] = config_dict.get("draft_vocab_size")
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if config_dict.get("target_hidden_size") is not None:
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vllm_config["target_hidden_size"] = config_dict["target_hidden_size"]
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vllm_config["norm_before_residual"] = config_dict.get(
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"norm_before_residual", True)
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vllm_config["architectures"] = ["Eagle3LlamaForCausalLM"]
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