add to docs (#703)
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@@ -901,6 +901,8 @@ CUDA_VISIBLE_DEVICES="" python3 -m axolotl.cli.merge_lora ...
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## Common Errors 🧰
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See also the [FAQ's](./docs/faq.md).
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> If you encounter a 'Cuda out of memory' error, it means your GPU ran out of memory during the training process. Here's how to resolve it:
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Please reduce any below
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14
docs/faq.md
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14
docs/faq.md
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@@ -0,0 +1,14 @@
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# Axolotl FAQ's
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> The trainer stopped and hasn't progressed in several minutes.
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Usually an issue with the GPU's communicating with each other. See the [NCCL doc](../docs/nccl.md)
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> Exitcode -9
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This usually happens when you run out of system RAM.
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> Exitcode -7 while using deepspeed
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Try upgrading deepspeed w: `pip install -U deepspeed`
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