chore: import upstream snapshot with attribution

2026-07-13 13:34:58 +08:00
commit a203934033
1368 changed files with 175001 additions and 0 deletions
@@ -0,0 +1,70 @@
+# Copyright (c) ModelScope Contributors. All rights reserved.
+
+from transformers import PretrainedConfig
+from typing import Any, Dict
+
+from swift.template import TemplateType
+from swift.utils import Processor
+from ..constant import LLMModelType, RMModelType
+from ..model_arch import ModelArch
+from ..model_meta import Model, ModelGroup, ModelMeta
+from ..register import ModelLoader, register_model
+
+
+class SkyworkLoader(ModelLoader):
+
+    def get_processor(self, model_dir: str, config: PretrainedConfig) -> Processor:
+        tokenizer = super().get_processor(model_dir, config)
+        tokenizer.add_tokens('[USER]')
+        tokenizer.add_tokens('[BOT]')
+        tokenizer.add_tokens('[SEP]')
+        return tokenizer
+
+
+register_model(
+    ModelMeta(
+        LLMModelType.skywork,
+        [
+            ModelGroup([
+                Model('skywork/Skywork-13B-base', 'skywork/Skywork-13B-base'),
+                Model('skywork/Skywork-13B-chat'),
+            ]),
+        ],
+        template=TemplateType.skywork,
+        architectures=['SkyworkForCausalLM'],
+        model_arch=ModelArch.llama,
+    ))
+
+register_model(
+    ModelMeta(
+        RMModelType.llama3_2_reward,
+        [
+            ModelGroup([
+                Model('AI-ModelScope/Skywork-Reward-Llama-3.1-8B', 'Skywork/Skywork-Reward-Llama-3.1-8B'),
+                Model('AI-ModelScope/Skywork-Reward-Llama-3.1-8B-v0.2', 'Skywork/Skywork-Reward-Llama-3.1-8B-v0.2'),
+            ]),
+            ModelGroup([
+                Model('AI-ModelScope/GRM_Llama3.1_8B_rewardmodel-ft', 'Ray2333/GRM_Llama3.1_8B_rewardmodel-ft'),
+                Model('AI-ModelScope/GRM-llama3.2-3B-rewardmodel-ft', 'Ray2333/GRM-llama3.2-3B-rewardmodel-ft'),
+            ])
+        ],
+        template=TemplateType.llama3_2,
+        requires=['transformers>=4.43'],
+        architectures=['LlamaForSequenceClassification'],
+        model_arch=ModelArch.llama,
+    ))
+
+register_model(
+    ModelMeta(
+        RMModelType.gemma_reward,
+        [
+            ModelGroup([
+                Model('AI-ModelScope/Skywork-Reward-Gemma-2-27B', 'Skywork/Skywork-Reward-Gemma-2-27B'),
+                Model('AI-ModelScope/Skywork-Reward-Gemma-2-27B-v0.2', 'Skywork/Skywork-Reward-Gemma-2-27B-v0.2'),
+            ]),
+        ],
+        template=TemplateType.gemma,
+        requires=['transformers>=4.42'],
+        architectures=['Gemma2ForSequenceClassification'],
+        model_arch=ModelArch.llama,
+    ))