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add to docs #703

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2 changes: 2 additions & 0 deletions README.md
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Expand Up @@ -808,6 +808,8 @@ CUDA_VISIBLE_DEVICES="" python3 -m axolotl.cli.merge_lora ...

## Common Errors 🧰

See also the [FAQ's](./docs/faq.md).

> 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:

Please reduce any below
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14 changes: 14 additions & 0 deletions docs/faq.md
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# Axolotl FAQ's


> The trainer stopped and hasn't progressed in several minutes.
Usually an issue with the GPU's communicating with each other. See the [NCCL doc](../docs/nccl.md)

> Exitcode -9
This usually happens when you run out of system RAM.
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Exitcode -9

This already exists in the current readme below on line 820.


> Exitcode -7 while using deepspeed
Try upgrading deepspeed w: `pip install -U deepspeed`