From 3637e57b9bc1b15cbdd848e0a168aebc85dd4648 Mon Sep 17 00:00:00 2001 From: Quarto GHA Workflow Runner Date: Mon, 18 Nov 2024 19:00:27 +0000 Subject: [PATCH] Built site for gh-pages --- .nojekyll | 2 +- docs/dataset-formats/index.html | 10 +++--- index.html | 3 +- sitemap.xml | 54 ++++++++++++++++----------------- 4 files changed, 35 insertions(+), 34 deletions(-) diff --git a/.nojekyll b/.nojekyll index 020324570..69f01a0ea 100644 --- a/.nojekyll +++ b/.nojekyll @@ -1 +1 @@ -8beaddc9 \ No newline at end of file +ab7fd1fc \ No newline at end of file diff --git a/docs/dataset-formats/index.html b/docs/dataset-formats/index.html index f0d9c9d0e..59ec40869 100644 --- a/docs/dataset-formats/index.html +++ b/docs/dataset-formats/index.html @@ -363,7 +363,7 @@ Description - + Pre-training @@ -371,7 +371,7 @@ Description Data format for a pre-training completion task. - + Instruction Tuning @@ -379,7 +379,7 @@ Description Instruction tuning formats for supervised fine-tuning. - + Conversation @@ -387,7 +387,7 @@ Description Conversation format for supervised fine-tuning. - + Template-Free @@ -395,7 +395,7 @@ Description Construct prompts without a template. - + Custom Pre-Tokenized Dataset diff --git a/index.html b/index.html index 63f052732..988dcd4ef 100644 --- a/index.html +++ b/index.html @@ -362,7 +362,8 @@ pre > code.sourceCode > span > a:first-child::before { text-decoration: underlin

Axolotl

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tests tests-nightly multigpu-semi-weekly tests

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GitHub License tests https://github.com/axolotl-ai-cloud/axolotl/releases GitHub Repo stars

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tests-nightly multigpu-semi-weekly tests

Axolotl is a tool designed to streamline the fine-tuning of various AI models, offering support for multiple configurations and architectures.

Features: - Train various Huggingface models such as llama, pythia, falcon, mpt - Supports fullfinetune, lora, qlora, relora, and gptq - Customize configurations using a simple yaml file or CLI overwrite - Load different dataset formats, use custom formats, or bring your own tokenized datasets - Integrated with xformer, flash attention, liger kernel, rope scaling, and multipacking - Works with single GPU or multiple GPUs via FSDP or Deepspeed - Easily run with Docker locally or on the cloud - Log results and optionally checkpoints to wandb, mlflow or Comet - And more!

phorm.ai

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