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Zach Nussbaum 6c4f449b7a fix: update train scripts and configs for other models (#1164) 
* feat: falcon config

* feat: mpt config

* chore: gitignore

* refactor: step calculation

* fix: attention mask + shuffle on epoch end

* fix: return tensors

* fix: wait for everyone

* chore: config

* chore: ds config

* fix: remove ccols

* fix: logging and saving

* chore: add einops
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configs
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build_map.py
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clean.py
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data.py
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env.yaml
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generate.py
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GPT-J_MAP.md
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inference.py
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launcher.sh
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README.md
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requirements.txt
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train.py
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TRAINING_LOG.md
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README.md

Training GPT4All-J

Please see GPT4All-J Technical Report for details.

GPT4All-J Training Data

We have released updated versions of our GPT4All-J model and training data.

  • v1.0: The original model trained on the v1.0 dataset
  • v1.1-breezy: Trained on a filtered dataset where we removed all instances of AI language model
  • v1.2-jazzy: Trained on a filtered dataset where we also removed instances like I'm sorry, I can't answer... and AI language model

The models and data versions can be specified by passing a revision argument.

For example, to load the v1.2-jazzy model and dataset, run:

from datasets import load_dataset
from transformers import AutoModelForCausalLM

dataset = load_dataset("nomic-ai/gpt4all-j-prompt-generations", revision="v1.2-jazzy")
model = AutoModelForCausalLM.from_pretrained("nomic-ai/gpt4all-j", revision="v1.2-jazzy")

GPT4All-J Training Instructions

accelerate launch --dynamo_backend=inductor --num_processes=8 --num_machines=1 --machine_rank=0 --deepspeed_multinode_launcher standard --mixed_precision=bf16  --use_deepspeed --deepspeed_config_file=configs/deepspeed/ds_config_gptj.json train.py --config configs/train/finetune_gptj.yaml