0c63fb9420
Co-authored-by: Baizhou Zhang <sobereddiezhang@gmail.com> Co-authored-by: Beichen-Ma <bm685@cornell.edu>
76 lines
2.7 KiB
Python
76 lines
2.7 KiB
Python
# Copyright 2023-2024 SGLang Team
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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import json
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import os
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from huggingface_hub import snapshot_download
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class LoRAConfig:
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def __init__(
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self,
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path: str,
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) -> None:
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self.path = path
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self.hf_config = self.get_lora_config()
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self.target_modules = self.hf_config["target_modules"]
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self.r = self.hf_config["r"]
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self.lora_alpha = self.hf_config["lora_alpha"]
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self.added_tokens_config = self.get_added_tokens_config()
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self.lora_added_tokens_size = (
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len(self.added_tokens_config) if self.added_tokens_config is not None else 0
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)
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def get_lora_config(self, dummy=False):
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if dummy:
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raise NotImplementedError()
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else:
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if not os.path.isdir(self.path):
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weights_dir = snapshot_download(self.path, allow_patterns=["*.json"])
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else:
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weights_dir = self.path
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config_name = "adapter_config.json"
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with open(os.path.join(weights_dir, config_name), "r") as f:
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return json.load(f)
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def get_added_tokens_config(self):
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"""Load added tokens from the LoRA adapter if the file exists."""
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# Determine the weights directory
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if not os.path.isdir(self.path):
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weights_dir = snapshot_download(self.path, allow_patterns=["*.json"])
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else:
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weights_dir = self.path
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# Construct the path to added_tokens.json
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added_tokens_path = os.path.join(weights_dir, "added_tokens.json")
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# Return None if the file doesn't exist (optional for standard LoRA adapters)
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if not os.path.exists(added_tokens_path):
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return None
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# Load and return the added tokens
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try:
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with open(added_tokens_path, "r") as f:
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return json.load(f)
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except json.JSONDecodeError as e:
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# Log warning but don't crash if JSON is malformed
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import logging
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logger = logging.getLogger(__name__)
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logger.warning(f"Failed to parse added_tokens.json: {e}")
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return None
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