docs: 修正文档错误并补充训练参数说明

- README: 补充训练参数速查表，完善训练命令示例
- design.md: 同步 inference 类图（SlotAllocator、GenerationParams、采样策略等
  新增类），修正参数名和类型错误，统一泛型符号
- params.md: 修正默认值（batch_size=1、num_workers=4），移除不存在参数
  （grpo_*、model_type、resume_dir），补充完整示例
- dataflow.md: _RadixNode 命名修正

README.md

@@ -27,9 +27,6 @@
 
 ## 📖 Table of Contents
 
-<details open>
-<summary><b>English</b></summary>
-
 - [Features](#features)
 - [Quick Start](#quick-start)
 - [Documentation](#documentation)
@@ -37,8 +34,6 @@
 - [Community](#community)
 - [License](#license)
 
-</details>
-
 ---
 
 <a id="english"></a>
@@ -75,7 +70,14 @@ pip install -e ".[dev]"
 python scripts/tools/train.py \
   --train_type=seq \
   --data_root_path=/path/to/dataset \
-  --param_path=/path/to/param_path
+  --param_path=/path/to/model \
+  --n_epoch=3 \
+  --batch_size=4 \
+  --accumulation_steps=8 \
+  --max_lr=3e-4 \
+  --warmup_steps=2000 \
+  --ckpt_interval=5000 \
+  --ckpt_dir=./checkpoints
 ```
 
 #### Generate Text
@@ -84,6 +86,25 @@ python scripts/tools/train.py \
 python scripts/tools/generate.py --param_path=/path/to/param_path
 ```
 
+#### Training Parameters
+
+| Parameter | Description | Default |
+|-----------|-------------|---------|
+| `--train_type` | Training type (`seq`, `sft`, `dpo`) | required |
+| `--data_root_path` | Dataset root directory | required |
+| `--param_path` | Model / checkpoint path | required |
+| `--n_epoch` | Training epochs | 1 |
+| `--batch_size` | Batch size | 1 |
+| `--accumulation_steps` | Gradient accumulation steps | 1 |
+| `--max_lr` | Peak learning rate (cosine decay) | 3e-4 |
+| `--warmup_steps` | LR warmup steps | 1000 |
+| `--ckpt_interval` | Checkpoint interval (iters) | 5000 |
+| `--ckpt_dir` | Checkpoint directory | checkpoint |
+| `--num_workers` | DataLoader workers | 4 |
+| `--nprocs` | Number of GPUs | 1 |
+
+Full reference at [Parameter Guide](./assets/docs/params.md#training-parameters).
+
 #### Docker
 
 Build and run with Docker (recommended for GPU environments):