mirror of
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- Update pyproject.toml URLs to zen-identity repo - Fix ZEN_MODELS → ZEN_CODER_MODELS imports in benchmark.py and trainer.py - Simplify train_4b.py to match pattern of flash/max scripts - Rewrite train_4b_simple.py for MLX-only training - Remove hardcoded local paths, use HuggingFace dataset zenlm/zen-identity - Clean up __init__.py documentation
26 lines
659 B
Python
26 lines
659 B
Python
"""
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Zen Trainer - Fine-tune Zen Coder models
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Models:
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zen-coder-4b Qwen3-Coder-4B 4B 8GB VRAM
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zen-coder Devstral-Small-2-24B 24B 24GB VRAM
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zen-coder-flash GLM-4.7-Flash 31B MoE (3B active) 24GB VRAM ⭐
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zen-coder-max Kimi-K2 671B MoE (14B active) 160GB VRAM
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Usage:
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from zen_trainer import ZenTrainer, get_model_config
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trainer = ZenTrainer("zen-coder-flash", "zenlm/zen-identity")
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trainer.train()
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"""
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__version__ = "0.1.0"
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from .models import ZEN_CODER_MODELS, get_model_config, list_models
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__all__ = [
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"ZEN_CODER_MODELS",
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"get_model_config",
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"list_models",
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]
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