Add Troubleshooting Section to README #437
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This PR enhances the README by adding a Troubleshooting section to help users resolve common issues they may encounter while using DeepSeek-V3.
New Section Added: Troubleshooting
The following issues and solutions are included:
Model weights not found: Instructions on downloading model weights from Hugging Face and placing them correctly.
CUDA errors during inference: Steps to ensure CUDA is set up correctly and PyTorch is configured for GPU use.
Slow inference performance: Recommendations for hardware optimization and using FP8/BF16 modes for faster inference.
Out of memory errors: Guidance on reducing batch sizes or leveraging model parallelism for multi-GPU setups.
Why This Change?
Users may face these common issues when running DeepSeek-V3. Adding a dedicated troubleshooting section improves usability and reduces potential support queries.
The troubleshooting tips are specific to the DeepSeek-V3 workflow and link to external resources for further guidance.
Please let me know if there are additional issues to include or if further edits are required.