feat: 训练任务支持从最新 checkpoint 继续训练

- 后端: 新增 resume/checkpoints 端点，compute 客户端与适配器支持续训
- 计算节点: llama_factory 适配器断点续训支持及测试
- 前端: fine-tune API 封装与列表页续训/断点展示

compute/engines/llama_factory/adapter.py

@@ -336,6 +336,7 @@ def build_command(config: dict[str, Any], llama_factory_home: str = "/app/LLaMA-
         _optional_arg(config, command, "--val_size", "val_size")
     _optional_arg(config, command, "--max_samples", "max_samples")
     _optional_arg(config, command, "--preprocessing_num_workers", "preprocessing_num_workers")
+    _optional_arg(config, command, "--resume_from_checkpoint", "resume_from_checkpoint")
     _optional_bool_arg(config, command, "--fp16", "fp16")
     _optional_bool_arg(config, command, "--bf16", "bf16")
     quantization_bit = int(config.get("quantization_bit", 0) or 0)

compute/tests/test_llama_factory_adapter.py

@@ -25,6 +25,22 @@ def test_build_command_uses_explicit_validation_dataset_without_resplitting() ->
     assert "--val_size" not in result.command
 
 
+def test_build_command_resumes_from_checkpoint() -> None:
+    result = build_command(
+        {
+            "base_model": "/models/qwen",
+            "dataset": "ygft_dataset_train",
+            "dataset_dir": "/datasets/example",
+            "output_dir": "/outputs/example",
+            "resume_from_checkpoint": "/data/yg-ft/fine-tunes/ft_1/resume/checkpoint-50",
+        }
+    )
+
+    assert result.command[result.command.index("--resume_from_checkpoint") + 1] == (
+        "/data/yg-ft/fine-tunes/ft_1/resume/checkpoint-50"
+    )
+
+
 def _write(tmp_path, name: str, lines: list[dict]) -> object:
     path = tmp_path / name
     path.write_text(