Merge pull request #61 from NanoCode012/feat/update-readme
Feat: Update readme
This commit is contained in:
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README.md
18
README.md
@@ -33,12 +33,12 @@ pip3 install -e .[int4]
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accelerate config
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# finetune
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accelerate launch scripts/finetune.py examples/4bit-lora-7b/config.yml
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# finetune lora
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accelerate launch scripts/finetune.py examples/lora-openllama-3b/config.yml
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# inference
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accelerate launch scripts/finetune.py examples/4bit-lora-7b/config.yml \
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--inference --lora_model_dir="./llama-7b-lora-int4"
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accelerate launch scripts/finetune.py examples/lora-openllama-3b/config.yml \
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--inference --lora_model_dir="./lora-out"
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```
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## Installation
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@@ -199,8 +199,7 @@ datasets:
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# The type of prompt to use for training. [alpaca, sharegpt, gpteacher, oasst, reflection]
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type: alpaca # format OR format:prompt_style (chat/instruct)
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data_files: # path to source data files
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shards: # true if use subset data. make sure to set `shards` param also
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shards: # number of shards to split dataset into
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shards: # number of shards to split data into
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# axolotl attempts to save the dataset as an arrow after packing the data together so
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# subsequent training attempts load faster, relative path
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@@ -326,6 +325,9 @@ debug:
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# Seed
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seed:
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# Allow overwrite yml config using from cli
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strict:
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```
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</details>
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@@ -382,6 +384,10 @@ Please reduce any below
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Try set `fp16: true`
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> NotImplementedError: No operator found for `memory_efficient_attention_forward` ...
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Try to turn off xformers.
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## Need help? 🙋♂️
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Join our [Discord server](https://discord.gg/HhrNrHJPRb) where we can help you
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