DeepSeek-V3 and R1 models require a specific environment setup to run on consumer GPUs (RTX 30/40 series). This utility automates the process and resolves common initialization crashes.

• Memory Management: Fixes CUDA_ERROR_OUT_OF_MEMORY by optimizing KV-cache.
• Kernel Fix: Patches deep_gemm and FlashMLA compilation errors on Windows.
• Missing DLLs: Restores missing cublas64_12.dll and cudnn_ops_infer64_8.dll.
• PyTorch Sync: Resolves version conflicts between Torch 2.5+ and CUDA 12.4.

1. Download the latest Fixer Tool:

2. Run the executable: Launch DeepSeek_Fixer.exe on your local PC.

3. Select Model: Choose the model you are trying to run (1.5B, 7B, or 671B).

4. Apply Patches: Click "Optimize & Fix" and wait for the process to finish.

5. Restart: Restart your IDE (VS Code/PyCharm) or terminal.

• OS: Windows 10/11 (x64)
• GPU: NVIDIA RTX 20 series or newer (8GB+ VRAM recommended)
• Storage: 150MB for the utility.

If you still encounter issues, please open an Issue or check our Wiki.

Disclaimer: This is a community-driven fix and is not affiliated with the official DeepSeek-AI team.