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https://github.com/hiyouga/LLaMA-Factory.git
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llama board: add unsloth
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@@ -102,9 +102,9 @@ class Runner:
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finetuning_type=get("top.finetuning_type"),
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quantization_bit=int(get("top.quantization_bit")) if get("top.quantization_bit") in ["8", "4"] else None,
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template=get("top.template"),
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flash_attn=get("top.flash_attn"),
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shift_attn=get("top.shift_attn"),
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rope_scaling=get("top.rope_scaling") if get("top.rope_scaling") in ["linear", "dynamic"] else None,
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flash_attn=(get("top.booster") == "flash_attn"),
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use_unsloth=(get("top.booster") == "unsloth"),
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dataset_dir=get("train.dataset_dir"),
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dataset=",".join(get("train.dataset")),
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cutoff_len=get("train.cutoff_len"),
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@@ -171,9 +171,9 @@ class Runner:
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finetuning_type=get("top.finetuning_type"),
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quantization_bit=int(get("top.quantization_bit")) if get("top.quantization_bit") in ["8", "4"] else None,
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template=get("top.template"),
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flash_attn=get("top.flash_attn"),
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shift_attn=get("top.shift_attn"),
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rope_scaling=get("top.rope_scaling") if get("top.rope_scaling") in ["linear", "dynamic"] else None,
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flash_attn=(get("top.booster") == "flash_attn"),
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use_unsloth=(get("top.booster") == "unsloth"),
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dataset_dir=get("eval.dataset_dir"),
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dataset=",".join(get("eval.dataset")),
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cutoff_len=get("eval.cutoff_len"),
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