Add new example to fine tune llama-2 70b with lora#80
Add new example to fine tune llama-2 70b with lora#80lu-wang-dl wants to merge 8 commits intomasterfrom
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Thanks for adding this, looks very cool!
Wondering why deepspeed is required, is it for the memory optimization?
| # MAGIC | ||
| # MAGIC # Fine tune llama-2-70b with deepspeed | ||
| # MAGIC | ||
| # MAGIC [Llama 2](https://huggingface.co/meta-llama) is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. It is trained with 2T tokens and supports context length window upto 4K tokens. [Llama-2-70b-hf](https://huggingface.co/meta-llama/Llama-2-70b-hf) is the 7B pretrained model, converted for the Hugging Face Transformers format. |
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nit
| # MAGIC [Llama 2](https://huggingface.co/meta-llama) is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. It is trained with 2T tokens and supports context length window upto 4K tokens. [Llama-2-70b-hf](https://huggingface.co/meta-llama/Llama-2-70b-hf) is the 7B pretrained model, converted for the Hugging Face Transformers format. | |
| # MAGIC [Llama 2](https://huggingface.co/meta-llama) is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. It is trained with 2T tokens and supports context length window upto 4K tokens. [Llama-2-70b-hf](https://huggingface.co/meta-llama/Llama-2-70b-hf) is the 70B pretrained model, converted for the Hugging Face Transformers format. |
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deepspeed is used for multi-GPU training with LORA.
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Since 07 is used for AI gateway, maybe other indices
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Sure. Let's design a proper orders after.
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| # MAGIC %sh | ||
| # MAGIC deepspeed \ | ||
| # MAGIC --num_gpus 2 \ |
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--num_gpus is probably not needed because deepspeed can use all the GPUs on the machine
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Good point. Let me remove it.
| MODEL_PATH = 'meta-llama/Llama-2-70b-hf' | ||
| TOKENIZER_PATH = 'meta-llama/Llama-2-70b-hf' | ||
| DEFAULT_TRAINING_DATASET = "mosaicml/dolly_hhrlhf" | ||
| CONFIG_PATH = "../../config/a10_config_zero2.json" |
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Maybe rename the file to a100_...?
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Maybe rename the file to a100_...?
| # MAGIC deepspeed \ | ||
| # MAGIC --num_gpus 2 \ | ||
| # MAGIC scripts/fine_tune_lora.py \ | ||
| # MAGIC --output_dir="/local_disk0/output" |
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Q: What is the difference between --output_dir and /local_disk0/final_model, is the latter just the LoRA weights?
| # COMMAND ---------- | ||
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| # MAGIC %sh | ||
| # MAGIC ls /local_disk0/final_model |
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Could you also add instructions or code for how to load this for inference?
Co-authored-by: Ying Chen <ying.chen@databricks.com>
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Tested on: https://adb-7064161269814046.2.staging.azuredatabricks.net/?o=7064161269814046#notebook/94670986903573/command/94670986903574