feat(doc): standardize the axolotl install to a release (#3040) [skip ci]
This commit is contained in:
@@ -10,17 +10,14 @@ Thanks to the team at MistralAI for giving us early access to prepare for this r
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## Getting started
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## Getting started
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1. Install Axolotl following the [installation guide](https://docs.axolotl.ai/docs/installation.html). You need to install from main as Devstral is only on nightly or use our latest [Docker images](https://docs.axolotl.ai/docs/docker.html).
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1. Install Axolotl following the [installation guide](https://docs.axolotl.ai/docs/installation.html).
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Here is an example of how to install from main for pip:
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Here is an example of how to install from pip:
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```bash
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```bash
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# Ensure you have Pytorch installed (Pytorch 2.6.0+)
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# Ensure you have Pytorch installed (Pytorch 2.6.0 min)
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git clone https://github.com/axolotl-ai-cloud/axolotl.git
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cd axolotl
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pip3 install packaging==23.2 setuptools==75.8.0 wheel ninja
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pip3 install packaging==23.2 setuptools==75.8.0 wheel ninja
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pip3 install --no-build-isolation -e '.[flash-attn]'
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pip3 install --no-build-isolation 'axolotl[flash-attn]>=0.12.0'
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```
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```
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2. Run the finetuning example:
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2. Run the finetuning example:
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@@ -4,17 +4,14 @@ Gemma-3n is a family of multimodal models from Google found on [HuggingFace](htt
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## Getting started
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## Getting started
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1. Install Axolotl following the [installation guide](https://docs.axolotl.ai/docs/installation.html). You need to install from main as Gemma3n is only on nightly or use our latest [Docker images](https://docs.axolotl.ai/docs/docker.html).
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1. Install Axolotl following the [installation guide](https://docs.axolotl.ai/docs/installation.html).
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Here is an example of how to install from main for pip:
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Here is an example of how to install from pip:
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```bash
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```bash
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# Ensure you have Pytorch installed (Pytorch 2.6.0 min recommended)
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# Ensure you have Pytorch installed (Pytorch 2.6.0 min)
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git clone https://github.com/axolotl-ai-cloud/axolotl.git
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cd axolotl
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pip3 install packaging==23.2 setuptools==75.8.0 wheel ninja
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pip3 install packaging==23.2 setuptools==75.8.0 wheel ninja
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pip3 install --no-build-isolation -e '.[flash-attn]'
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pip3 install --no-build-isolation 'axolotl[flash-attn]>=0.12.0'
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```
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```
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2. In addition to Axolotl's requirements, Gemma-3n requires:
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2. In addition to Axolotl's requirements, Gemma-3n requires:
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@@ -6,17 +6,14 @@ This guide shows how to fine-tune it with Axolotl with multi-turn conversations
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## Getting started
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## Getting started
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1. Install Axolotl following the [installation guide](https://docs.axolotl.ai/docs/installation.html). You need to install from main as GPT-OSS is only on nightly or use our latest [Docker images](https://docs.axolotl.ai/docs/docker.html).
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1. Install Axolotl following the [installation guide](https://docs.axolotl.ai/docs/installation.html).
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Here is an example of how to install from main for pip:
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Here is an example of how to install from pip:
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```bash
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```bash
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# Ensure you have Pytorch installed (Pytorch 2.6.0 min)
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# Ensure you have Pytorch installed (Pytorch 2.6.0 min)
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git clone https://github.com/axolotl-ai-cloud/axolotl.git
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cd axolotl
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pip3 install packaging==23.2 setuptools==75.8.0 wheel ninja
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pip3 install packaging==23.2 setuptools==75.8.0 wheel ninja
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pip3 install --no-build-isolation -e '.[flash-attn]'
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pip3 install --no-build-isolation 'axolotl[flash-attn]>=0.12.0'
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```
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```
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2. Choose one of the following configs below for training the 20B model.
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2. Choose one of the following configs below for training the 20B model.
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@@ -8,17 +8,14 @@ Thanks to the team at MistralAI for giving us early access to prepare for this r
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## Getting started
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## Getting started
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1. Install Axolotl following the [installation guide](https://docs.axolotl.ai/docs/installation.html). You need to install from main as Magistral is only on nightly or use our latest [Docker images](https://docs.axolotl.ai/docs/docker.html).
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1. Install Axolotl following the [installation guide](https://docs.axolotl.ai/docs/installation.html).
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Here is an example of how to install from main for pip:
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Here is an example of how to install from pip:
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```bash
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```bash
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# Ensure you have Pytorch installed (Pytorch 2.6.0 min)
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# Ensure you have Pytorch installed (Pytorch 2.6.0 min)
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git clone https://github.com/axolotl-ai-cloud/axolotl.git
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cd axolotl
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pip3 install packaging==23.2 setuptools==75.8.0 wheel ninja
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pip3 install packaging==23.2 setuptools==75.8.0 wheel ninja
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pip3 install --no-build-isolation -e '.[flash-attn]'
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pip3 install --no-build-isolation 'axolotl[flash-attn]>=0.12.0'
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```
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```
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2. Run the finetuning example:
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2. Run the finetuning example:
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@@ -6,17 +6,14 @@ Thanks to the team at MistralAI for giving us early access to prepare for this r
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## Getting started
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## Getting started
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1. Install Axolotl following the [installation guide](https://docs.axolotl.ai/docs/installation.html). You need to install from main as Voxtral is only on nightly or use our latest [Docker images](https://docs.axolotl.ai/docs/docker.html).
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1. Install Axolotl following the [installation guide](https://docs.axolotl.ai/docs/installation.html).
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Here is an example of how to install from main for pip:
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Here is an example of how to install from pip:
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```bash
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```bash
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# Ensure you have Pytorch installed (Pytorch 2.6.0 min)
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# Ensure you have Pytorch installed (Pytorch 2.6.0 min)
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git clone https://github.com/axolotl-ai-cloud/axolotl.git
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cd axolotl
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pip3 install packaging==23.2 setuptools==75.8.0 wheel ninja
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pip3 install packaging==23.2 setuptools==75.8.0 wheel ninja
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pip3 install --no-build-isolation -e '.[flash-attn]'
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pip3 install --no-build-isolation 'axolotl[flash-attn]>=0.12.0'
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```
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```
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2. Please install the below.
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2. Please install the below.
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