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[DATALAD RUNCMD] run codespell throughout
=== Do not change lines below === { "chain": [], "cmd": "codespell -w", "exit": 0, "extra_inputs": [], "inputs": [], "outputs": [], "pwd": "." } ^^^ Do not change lines above ^^^
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@ -9,7 +9,7 @@ Please note we have a code of conduct, please follow it in all your interactions
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1. Ensure any install or build dependencies are removed before the end of the layer when doing a build.
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2. Make sure Pull Request is tagged with appropriate project identifiers and has a clear description of contribution.
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3. Any new or updated code must have documentation and preferrably tests included with Pull Request.
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3. Any new or updated code must have documentation and preferably tests included with Pull Request.
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4. Significant feature or code changes should provide a short video or screenshot demo.
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4. Fill out relevant parts of Pull Request template.
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4. Pull requests must have sign-off from one other developer. Reach out to a repository owner once your
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@ -181,7 +181,7 @@ class GPT4All():
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with value of "system", "assistant", or "user" and a "content" key with a
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string value. Messages are organized such that "system" messages are at top of prompt,
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and "user" and "assistant" messages are displayed in order. Assistant messages get formatted as
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"Reponse: {content}".
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"Response: {content}".
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default_prompt_header: If True (default), add default prompt header after any system role messages and
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before user/assistant role messages.
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default_prompt_footer: If True (default), add default footer at end of prompt.
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@ -4,7 +4,7 @@ import sys
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from gpt4all import pyllmodel
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# TODO: Integration test for loadmodel and prompt.
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# # Right now, too slow b/c it requries file download.
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# # Right now, too slow b/c it requires file download.
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def test_create_gptj():
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gptj = pyllmodel.GPTJModel()
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@ -91,7 +91,7 @@ def train(accelerator, config):
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total_num_steps += int(total_num_steps * lr_ratio) + config["warmup_steps"]
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accelerator.print(f"Total training steps: {total_num_steps}")
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# Creates Dummy Scheduler if `scheduler` was spcified in the config file else creates `args.lr_scheduler_type` Scheduler
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# Creates Dummy Scheduler if `scheduler` was specified in the config file else creates `args.lr_scheduler_type` Scheduler
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if (
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accelerator.state.deepspeed_plugin is None
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or "scheduler" not in accelerator.state.deepspeed_plugin.deepspeed_config
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