Spaces:
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Running
improves requirements and dependencies
Browse files- config/__init__.py +19 -0
- requirements.txt +16 -21
- requirements_core.txt +13 -0
- requirements_minimal.txt +14 -0
- run_a100_large_experiment.py +2 -0
config/__init__.py
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@@ -7,11 +7,30 @@ from .train_smollm3_openhermes_fr import SmolLM3ConfigOpenHermesFR, get_config a
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from .train_smollm3_openhermes_fr_a100_large import SmolLM3ConfigOpenHermesFRA100Large, get_config as get_a100_large_config
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from .train_smollm3_openhermes_fr_a100_multiple_passes import SmolLM3ConfigOpenHermesFRMultiplePasses, get_config as get_multiple_passes_config
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__all__ = [
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'SmolLM3Config',
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'SmolLM3ConfigOpenHermesFR',
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'SmolLM3ConfigOpenHermesFRA100Large',
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'SmolLM3ConfigOpenHermesFRMultiplePasses',
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'get_base_config',
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'get_openhermes_fr_config',
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'get_a100_large_config',
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from .train_smollm3_openhermes_fr_a100_large import SmolLM3ConfigOpenHermesFRA100Large, get_config as get_a100_large_config
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from .train_smollm3_openhermes_fr_a100_multiple_passes import SmolLM3ConfigOpenHermesFRMultiplePasses, get_config as get_multiple_passes_config
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# Generic get_config function that can handle different config types
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def get_config(config_path: str):
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"""Generic get_config function that tries different config types"""
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import os
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if not os.path.exists(config_path):
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return get_base_config(config_path)
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# Try to determine config type based on filename
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if "a100_large" in config_path:
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return get_a100_large_config(config_path)
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elif "a100_multiple_passes" in config_path:
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return get_multiple_passes_config(config_path)
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elif "openhermes_fr" in config_path:
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return get_openhermes_fr_config(config_path)
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else:
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return get_base_config(config_path)
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__all__ = [
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'SmolLM3Config',
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'SmolLM3ConfigOpenHermesFR',
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'SmolLM3ConfigOpenHermesFRA100Large',
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'SmolLM3ConfigOpenHermesFRMultiplePasses',
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'get_config',
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'get_base_config',
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'get_openhermes_fr_config',
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'get_a100_large_config',
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requirements.txt
CHANGED
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@@ -1,4 +1,4 @@
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# Core dependencies
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torch>=2.0.0
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transformers>=4.53.0
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datasets>=2.14.0
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@@ -11,32 +11,27 @@ tokenizers>=0.13.0
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# Training and optimization
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flash-attn>=2.0.0
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xformers>=0.0.20
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bitsandbytes>=0.41.0
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#
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numpy>=1.24.0
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pandas>=2.0.0
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scikit-learn>=1.3.0
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tqdm>=4.65.0
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wandb>=0.15.0
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#
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evaluate>=0.4.0
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# Optional: for
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#
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isort>=5.12.0
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#
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#
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# Core dependencies - essential for training
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torch>=2.0.0
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transformers>=4.53.0
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datasets>=2.14.0
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# Training and optimization
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flash-attn>=2.0.0
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bitsandbytes>=0.41.0
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# Basic utilities
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numpy>=1.24.0
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tqdm>=4.65.0
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# Experiment tracking
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trackio>=0.1.0
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# Optional: for evaluation (commented out to reduce conflicts)
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# lighteval>=0.1.0
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# evaluate>=0.4.0
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# Optional: for deployment (commented out to reduce conflicts)
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# vllm>=0.2.0
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# sentencepiece>=0.1.99
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# Development tools (commented out to reduce conflicts)
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# pytest>=7.0.0
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# black>=23.0.0
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# isort>=5.12.0
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# System monitoring
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psutil>=5.9.0
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requirements_core.txt
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@@ -0,0 +1,13 @@
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# Core requirements for SmolLM3 training (without flash-attn)
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torch>=2.0.0
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transformers>=4.53.0
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datasets>=2.14.0
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accelerate>=0.20.0
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trl>=0.7.0
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huggingface-hub>=0.16.0
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tokenizers>=0.13.0
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bitsandbytes>=0.41.0
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numpy>=1.24.0
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tqdm>=4.65.0
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trackio>=0.1.0
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psutil>=5.9.0
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requirements_minimal.txt
ADDED
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@@ -0,0 +1,14 @@
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# Minimal requirements for SmolLM3 training
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torch>=2.0.0
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transformers>=4.53.0
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datasets>=2.14.0
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accelerate>=0.20.0
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trl>=0.7.0
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huggingface-hub>=0.16.0
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tokenizers>=0.13.0
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flash-attn>=2.0.0
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bitsandbytes>=0.41.0
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numpy>=1.24.0
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tqdm>=4.65.0
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trackio>=0.1.0
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psutil>=5.9.0
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run_a100_large_experiment.py
CHANGED
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@@ -40,11 +40,13 @@ def main():
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parser.add_argument(
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"--trackio-url",
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type=str,
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help="Trackio URL for experiment tracking"
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)
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parser.add_argument(
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"--trackio-token",
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type=str,
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help="Trackio token for authentication"
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)
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)
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parser.add_argument(
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"--trackio-url",
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"--trackio_url",
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type=str,
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help="Trackio URL for experiment tracking"
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)
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parser.add_argument(
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"--trackio-token",
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"--trackio_token",
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type=str,
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help="Trackio token for authentication"
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)
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