llama board: add unsloth
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@ -77,8 +77,8 @@ class WebChatModel(ChatModel):
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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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flash_attn=(get("top.booster") == "flash_attn"),
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use_unsloth=(get("top.booster") == "unsloth"),
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rope_scaling=get("top.rope_scaling") if get("top.rope_scaling") in ["linear", "dynamic"] else None
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)
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super().__init__(args)
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@ -28,10 +28,7 @@ def create_top() -> Dict[str, "Component"]:
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quantization_bit = gr.Dropdown(choices=["none", "8", "4"], value="none")
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template = gr.Dropdown(choices=list(templates.keys()), value="default")
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rope_scaling = gr.Radio(choices=["none", "linear", "dynamic"], value="none")
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with gr.Column():
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flash_attn = gr.Checkbox(value=False)
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shift_attn = gr.Checkbox(value=False)
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booster = gr.Radio(choices=["none", "flash_attn", "unsloth"], value="none")
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model_name.change(
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list_adapters, [model_name, finetuning_type], [adapter_path], queue=False
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@ -64,6 +61,5 @@ def create_top() -> Dict[str, "Component"]:
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quantization_bit=quantization_bit,
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template=template,
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rope_scaling=rope_scaling,
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flash_attn=flash_attn,
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shift_attn=shift_attn
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booster=booster
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)
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@ -85,20 +85,12 @@ LOCALES = {
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"label": "RoPE 插值方法"
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}
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},
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"flash_attn": {
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"booster": {
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"en": {
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"label": "Use FlashAttention-2"
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"label": "Booster"
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},
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"zh": {
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"label": "使用 FlashAttention-2"
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}
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},
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"shift_attn": {
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"en": {
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"label": "Use shift short attention (S^2-Attn)"
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},
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"zh": {
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"label": "使用 shift short attention (S^2-Attn)"
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"label": "加速方式"
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}
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},
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"training_stage": {
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@ -25,9 +25,8 @@ class Manager:
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self.all_elems["top"]["finetuning_type"],
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self.all_elems["top"]["quantization_bit"],
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self.all_elems["top"]["template"],
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self.all_elems["top"]["flash_attn"],
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self.all_elems["top"]["shift_attn"],
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self.all_elems["top"]["rope_scaling"]
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self.all_elems["top"]["rope_scaling"],
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self.all_elems["top"]["booster"]
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}
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def list_elems(self) -> List["Component"]:
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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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