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docs: add v2.4.4 entry to Chinese changelog
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zhmd/changelog/changelog.md

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* **v2.4.4** – Soft purge / Memory Manager:在 **HSWQ** 关闭时回收 MultiGPU–NVFP4(如 Krea2)unload 后残留的 CUDA(约 9–12 GB):对已加载模型强制清空残留 CUDA param/buffer storage,再对全部 CUDA 设备执行 `unload_all_models()` + `free_memory(1e30)``free_memory(0)` 为空操作)。storage 销毁为 **仅 CUDA**,避免 Ollama 邻近的 soft/HSWQ purge 后擦掉 CPU CLIP / Z Image TE 重载源(`Embedding.weight` 非 2D)。HSWQ Methods 0–2c 仍仅由开关门控(不自动武装)。相对 v2.4.3 另扩展 HSWQ Method **2c** / 核清理表面:完整 INT8/NVFP4/Detailer 残留清理、ZI ConvRot parity / bake 剥离(`restore_nvfp4_tc_product_stack` / `uninstall_zimage_nvfp4_lora_bake`)、Hadamard / inplace 池清理。详见 [Release Notes v2.4.4](https://github.com/ussoewwin/ComfyUI-DistorchMemoryManager/blob/main/zhmd/v2.4.4.md)
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* **v2.4.3** – DisTorchPurgeVRAMV2 **HSWQ** Method **2c**:在核清理后,除既有 `comfy_kitchen` `_cublas_workspaces` / `_empty_cuda_tensors` 重置外,另通过 `sys.modules` 扫描 `nvfp4_runtime` 并调用 `clear_nvfp4_runtime_pools()`,清空 HSWQ **NVFP4** 运行时池 / CUDA graphs,避免 purge 后第二次 ConvRot NVFP4 生成出现 `quantize_nvfp4` / `PyCapsule` / `pooled TC path failed`。优先从 `nodes/purge_vram.py` 导入 `DisTorchPurgeVRAMV2`;日志前缀 `HSWQ INT8/NVFP4:`。详见 [Release Notes v2.4.3](https://github.com/ussoewwin/ComfyUI-DistorchMemoryManager/blob/main/zhmd/v2.4.3.md)
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* **v2.4.2** – DisTorchPurgeVRAMV2:新增 **`Ollama`** 开关(位于 **`HSWQ`** 下方),完整清理 **comfyui-ollama****comfyui-ollama-describer**(describer 默认 `keep_model_alive=-1`)残留的 Ollama 显存:循环 `GET /api/ps` 至空,配合 `/api/generate``/api/chat``keep_alive=0``ollama stop`、Client 回退;从两个包收集 `api_host`/`url`;清空 `CHAT_SESSIONS` / `saved_context`;删除 `saved_context/` 文件;最终 `/api/ps` 验证。fallback `nodes/purge_vram.py` 与 root 同步。详见 [Release Notes v2.4.2](https://github.com/ussoewwin/ComfyUI-DistorchMemoryManager/blob/main/zhmd/v2.4.2.md)
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