Upload folder using huggingface_hub

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,162 @@
+---
+language:
+- zh
+- en
+license: apache-2.0
+tags:
+- lora
+- qwen2
+- boat-design
+- maritime
+- propeller-design
+- ship-design
+base_model: Qwen/Qwen2-7B-Instruct
+---
+
+# 🚢 Boat Design Expert - Qwen2-7B LoRA
+
+基于 Qwen2-7B-Instruct 微调的**船舶设计专家模型**，专注于船舶设计、螺旋桨设计、CFD 等专业领域。
+
+## 📊 模型信息
+
+| 项目 | 详情 |
+|------|------|
+| **基础模型** | Qwen/Qwen2-7B-Instruct (7B 参数) |
+| **训练方法** | LoRA (Low-Rank Adaptation) |
+| **LoRA 参数** | r=64, alpha=16, dropout=0.1 |
+| **训练数据** | 973 条船舶设计专业知识 |
+| **领域** | 船舶设计、螺旋桨设计、CFD、船体设计 |
+| **语言** | 中文 + 英文 |
+| **模型大小** | 155 MB (LoRA 权重) |
+
+## 🎯 专业领域
+
+- ✅ 螺旋桨设计 (Propeller Design)
+- ✅ 船体设计 (Hull Design)
+- ✅ CFD 分析 (Computational Fluid Dynamics)
+- ✅ 船舶阻力估算 (Resistance Estimation)
+- ✅ 推进效率优化 (Propulsion Efficiency)
+- ✅ SPP 系列螺旋桨知识
+
+## 🚀 使用方法
+
+### 安装依赖
+
+```bash
+pip install transformers peft torch
+```
+
+### 加载模型
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+from peft import PeftModel
+import torch
+
+# 加载基础模型
+base_model_name = "Qwen/Qwen2-7B-Instruct"
+model = AutoModelForCausalLM.from_pretrained(
+    base_model_name,
+    torch_dtype=torch.float16,
+    device_map="auto"
+)
+
+# 加载 LoRA 权重
+model = PeftModel.from_pretrained(
+    model,
+    "YOUR_USERNAME/boat-design-7b-lora"  # 替换成实际用户名
+)
+
+# 加载分词器
+tokenizer = AutoTokenizer.from_pretrained(base_model_name)
+
+# 推理
+question = "螺旋桨直径如何影响推进效率？"
+messages = [{"role": "user", "content": question}]
+text = tokenizer.apply_chat_template(
+    messages,
+    tokenize=False,
+    add_generation_prompt=True
+)
+inputs = tokenizer([text], return_tensors="pt").to(model.device)
+
+# 生成回答
+outputs = model.generate(
+    **inputs,
+    max_new_tokens=512,
+    temperature=0.7,
+    top_p=0.9
+)
+
+response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+print(response)
+```
+
+## 📚 训练详情
+
+- **训练集**: 778 条专业知识
+- **验证集**: 97 条
+- **测试集**: 98 条
+- **训练轮数**: 3 epochs
+- **Batch Size**: 1 (effective: 16 with gradient accumulation)
+- **学习率**: 2e-4
+- **训练时间**: 1.5 小时 (RTX 4090D 24GB)
+- **训练成本**: ~¥3.76
+
+## 💡 示例问题
+
+```python
+questions = [
+    "如何选择合适的螺旋桨直径？",
+    "什么是滑失率？它如何影响推进性能？",
+    "SPP 系列螺旋桨的主要特点是什么？",
+    "如何使用 CFD 分析船体阻力？",
+    "高速船的船型设计有哪些特点？"
+]
+
+for q in questions:
+    # ... (使用上面的推理代码)
+    print(f"Q: {q}")
+    print(f"A: {response}\n")
+```
+
+## ⚙️ 技术细节
+
+### LoRA 配置
+
+```python
+LoraConfig(
+    task_type="CAUSAL_LM",
+    r=64,
+    lora_alpha=16,
+    lora_dropout=0.1,
+    target_modules=["q_proj", "k_proj", "v_proj", "o_proj"],
+    bias="none"
+)
+```
+
+### 训练参数
+
+- 4-bit 量化加载
+- Gradient checkpointing
+- BF16 混合精度训练
+- paged_adamw_8bit 优化器
+
+## 📄 许可证
+
+Apache License 2.0
+
+## 🙏 致谢
+
+- 基础模型: [Qwen/Qwen2-7B-Instruct](https://huggingface.co/Qwen/Qwen2-7B-Instruct)
+- 训练框架: Hugging Face Transformers + PEFT
+- 训练平台: AutoDL (RTX 4090D)
+
+## 📞 联系
+
+如有问题或建议，欢迎提 Issue！
+
+---
+
+**训练日期**: 2026-01-01
+**模型版本**: v1.0

adapter_config.json

@@ -0,0 +1,43 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": null,
+  "base_model_name_or_path": "/root/.cache/huggingface/hub/models--Qwen--Qwen2-7B-Instruct/snapshots/f2826a00ceef68f0f2b946d945ecc0477ce4450c",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v_proj",
+    "q_proj",
+    "o_proj",
+    "k_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:11a2d82734301039a180baaaa7887d12f74d25f619abea841e531a2744aa1d3d
+size 161510984

added_tokens.json

@@ -0,0 +1,5 @@
+{
+  "<|endoftext|>": 151643,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644
+}

special_tokens_map.json

@@ -0,0 +1,14 @@
+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>"
+  ],
+  "eos_token": {
+    "content": "<|im_end|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<|im_end|>"
+}

tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3fd656675cb6365182a74fed9b51e131ec5de26a56a2ebe7aa4606f2ad975bbf
+size 11418365

tokenizer_config.json

@@ -0,0 +1,43 @@
+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151645": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>"
+  ],
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "model_max_length": 131072,
+  "pad_token": "<|im_end|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}