native support for modal cloud from CLI

README.md

@@ -217,7 +217,7 @@ If you love axolotl, consider sponsoring the project by reaching out directly to
 
 ---
 
-- [Modal](https://modal.com/) Modal lets you run data/AI jobs in the cloud, by just writing a few lines of Python. Customers use Modal to deploy Gen AI models at large scale, fine-tune LLM models, run protein folding simulations, and much more.
+- [Modal](https://www.modal.com?utm_source=github&utm_medium=github&utm_campaign=axolotl) Modal lets you run data/AI jobs in the cloud, by just writing a few lines of Python. Customers use Modal to deploy Gen AI models at large scale, fine-tune LLM models, run protein folding simulations, and much more.
 
 ---
 

examples/cloud/modal.yaml

@@ -0,0 +1,15 @@
+volumes:
+  - name: axolotl-data
+    mount: /workspace/data
+  - name: axolotl-artifacts
+    mount: /workspace/artifacts
+secrets:
+  - HF_TOKEN
+  - WANDB_API_KEY
+branch:
+gpu: h100
+gpu_count: 1
+memory: 128
+timeout: 86400
+timeout_preprocess: 14400
+memory_preprocess: 32

requirements.txt

@@ -25,6 +25,7 @@ hf_transfer
 sentencepiece
 gradio==3.50.2
 
+modal==0.70.5
 pydantic==2.6.3
 addict
 fire
@@ -53,7 +54,7 @@ zstandard==0.22.0
 fastcore
 
 # lm eval harness
-lm_eval==0.4.4
+lm_eval==0.4.7
 langdetect==1.0.9
 immutabledict==4.2.0
 antlr4-python3-runtime==4.13.2

scripts/motd

@@ -1,10 +1,15 @@
 
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-      88.  .88  .d88b.  88.  .88 88 88.  .88   88   88
-      `88888P8 dP'  `dP `88888P' dP `88888P'   dP   dP
+     #@@ #@@      @@# @@#
+    @@  @@          @@  @@           =@@#                               @@                 #@    =@@#.
+    @@    #@@@@@@@@@    @@           #@#@=                              @@                 #@     .=@@
+      #@@@@@@@@@@@@@@@@@            =@# @#     ##=     ##    =####=+    @@      =#####+  =#@@###.   @@
+    @@@@@@@@@@/  +@@/  +@@          #@  =@=     #@=   @@   =@#+  +#@#   @@    =@#+  +#@#   #@.      @@
+    @@@@@@@@@@  ##@@  ##@@         =@#   @#      =@# @#    @@      @@   @@    @@      #@   #@       @@
+     @@@@@@@@@@@@@@@@@@@@          #@=+++#@=      =@@#     @@      @@   @@    @@      #@   #@       @@
+                                  =@#=====@@     =@# @#    @@      @@   @@    @@      #@   #@       @@
+    @@@@@@@@@@@@@@@@  @@@@        #@      #@=   #@=  +@@   #@#    =@#   @@.   =@#    =@#   #@.      @@
+                                 =@#       @#  #@=     #@   =#@@@@#=    +#@@=  +#@@@@#=    .##@@+   @@
+    @@@@  @@@@@@@@@@@@@@@@
 
 Welcome to the axolotl cloud image! If the you've mounted a disk to /workspace and the axolotl directory ie empty, run the following commands:
 

src/axolotl/cli/cloud/__init__.py

@@ -0,0 +1,56 @@
+"""
+launch axolotl in supported cloud platforms
+"""
+from pathlib import Path
+from typing import Union
+
+import yaml
+
+from axolotl.cli import print_axolotl_text_art
+from axolotl.cli.cloud.modal_ import ModalCloud
+from axolotl.utils.dict import DictDefault
+
+
+def load_cloud_cfg(cloud_config: Union[Path, str]) -> DictDefault:
+    """Load and validate cloud configuration."""
+    # Load cloud configuration.
+    with open(cloud_config, encoding="utf-8") as file:
+        cloud_cfg: DictDefault = DictDefault(yaml.safe_load(file))
+    return cloud_cfg
+
+
+def do_cli_preprocess(
+    cloud_config: Union[Path, str],
+    config: Union[Path, str] = Path("examples/"),
+) -> None:
+    print_axolotl_text_art()
+    cloud_cfg = load_cloud_cfg(cloud_config)
+    cloud = ModalCloud(cloud_cfg)
+    with open(config, "r", encoding="utf-8") as file:
+        config_yaml = file.read()
+    cloud.preprocess(config_yaml)
+
+
+def do_cli_train(
+    cloud_config: Union[Path, str],
+    config: Union[Path, str] = Path("examples/"),
+    accelerate: bool = True,
+) -> None:
+    print_axolotl_text_art()
+    cloud_cfg = load_cloud_cfg(cloud_config)
+    cloud = ModalCloud(cloud_cfg)
+    with open(config, "r", encoding="utf-8") as file:
+        config_yaml = file.read()
+    cloud.train(config_yaml, accelerate=accelerate)
+
+
+def do_cli_lm_eval(
+    cloud_config: Union[Path, str],
+    config: Union[Path, str] = Path("examples/"),
+) -> None:
+    print_axolotl_text_art()
+    cloud_cfg = load_cloud_cfg(cloud_config)
+    cloud = ModalCloud(cloud_cfg)
+    with open(config, "r", encoding="utf-8") as file:
+        config_yaml = file.read()
+    cloud.lm_eval(config_yaml)

src/axolotl/cli/cloud/base.py

@@ -0,0 +1,18 @@
+"""
+base class for cloud platforms from cli
+"""
+from abc import ABC, abstractmethod
+
+
+class Cloud(ABC):
+    """
+    Abstract base class for cloud platforms.
+    """
+
+    @abstractmethod
+    def preprocess(self, config_yaml: str, *args, **kwargs) -> None:
+        pass
+
+    @abstractmethod
+    def train(self, config_yaml: str, accelerate: bool = True) -> str:
+        pass