feat: 更新 GPU 需求分析，添加实际测试结果和综合报告

- 根据 RTX 3050 8GB 实测结果更新 GPU 需求建议
- 添加 bitsandbytes 兼容性问题记录
- 生成包含实测数据的综合测试报告 REPORT.md

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

vsp/qwen3.5-9b/gpu_requirements.py

@@ -29,16 +29,30 @@ GPU_REQUIREMENTS = {
         "INT4 (NF4)": {
             "model_size_gb": 5,
             "min_vram_gb": 8,
-            "recommended_gpus": ["RTX 3050 8GB", "RTX 4060 8GB", "RTX 3060 12GB", "RTX 3070 8GB"],
-            "note": "适合显存有限的消费级显卡，有一定精度损失",
+            "recommended_gpus": ["RTX 4060 8GB", "RTX 3060 12GB", "RTX 3070 8GB"],
+            "note": "理论可行但 bitsandbytes 在 Windows 上兼容性差，不推荐",
         },
     },
+    "actual_test_results": {
+        "gpu": "NVIDIA GeForce RTX 3050 OEM 8GB",
+        "method": "FP16 + CPU offload (accelerate device_map=auto)",
+        "gpu_vram_used_gb": 3.91,
+        "ram_used_gb": 13.60,
+        "inference_speed_tokens_per_sec": 0.4,
+        "output_quality": "极差（乱码/重复输出）",
+        "conclusion": "RTX 3050 8GB 无法有效运行 Qwen3.5-9B，显存不足导致大量层 offload 到 CPU，推理极慢且输出质量不可用",
+        "issues": [
+            "bitsandbytes 4-bit 量化不支持 CPU offload，8GB 显存装不下完整 4-bit 模型",
+            "bitsandbytes INT8 与 accelerate 版本不兼容（Windows）",
+            "FP16 + CPU offload 虽可加载但速度仅 0.4 tokens/s，输出为乱码",
+        ],
+    },
     "deployment_recommendations": {
         "开发测试": {
-            "gpu": "RTX 3050/4060 (8GB)",
-            "precision": "INT4",
+            "gpu": "RTX 3060 12GB / RTX 4060 Ti 16GB",
+            "precision": "INT8 或 INT4",
             "concurrent": 1,
-            "cost_estimate": "~2000-3000 RMB (显卡)",
+            "cost_estimate": "~2500-4000 RMB (显卡)",
         },
         "小规模部署": {
             "gpu": "RTX 4090 (24GB)",