hoshi-hiyouga
GitHub
commit
3ba75dc071
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@ -16,7 +16,7 @@ def create_top() -> Dict[str, "Component"]:
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available_models = list(SUPPORTED_MODELS.keys()) + ["Custom"]
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with gr.Row():
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lang = gr.Dropdown(choices=["en", "zh"], scale=1)
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lang = gr.Dropdown(choices=["en","ru", "zh"], scale=1)
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model_name = gr.Dropdown(choices=available_models, scale=3)
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model_path = gr.Textbox(scale=3)
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@ -1,222 +1,243 @@
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LOCALES = {
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"lang": {"en": {"label": "Lang"}, "zh": {"label": "语言"}},
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"model_name": {"en": {"label": "Model name"}, "zh": {"label": "模型名称"}},
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"lang": {"en": {"label": "Lang"}, "ru": {"label": "Русский"}, "zh": {"label": "语言"}},
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"model_name": {"en": {"label": "Model name"}, "ru": {"label": "Название модели"}, "zh": {"label": "模型名称"}},
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"model_path": {
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"en": {"label": "Model path", "info": "Path to pretrained model or model identifier from Hugging Face."},
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"ru": {"label": "Путь к предварительно обученной модели или идентификатор модели от Hugging Face."},
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"zh": {"label": "模型路径", "info": "本地模型的文件路径或 Hugging Face 的模型标识符。"},
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},
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"finetuning_type": {"en": {"label": "Finetuning method"}, "zh": {"label": "微调方法"}},
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"adapter_path": {"en": {"label": "Adapter path"}, "zh": {"label": "适配器路径"}},
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"refresh_btn": {"en": {"value": "Refresh adapters"}, "zh": {"value": "刷新适配器"}},
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"advanced_tab": {"en": {"label": "Advanced configurations"}, "zh": {"label": "高级设置"}},
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"finetuning_type": {"en": {"label": "Finetuning method"}, "ru": {"label": "Метод дообучения"}, "zh": {"label": "微调方法"}},
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"adapter_path": {"en": {"label": "Adapter path"}, "ru": {"label": "Путь к адаптеру"}, "zh": {"label": "适配器路径"}},
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"refresh_btn": {"en": {"value": "Refresh adapters"}, "ru": {"value": "Обновить адаптеры"}, "zh": {"value": "刷新适配器"}},
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"advanced_tab": {"en": {"label": "Advanced configurations"}, "ru": {"label": "Расширенные конфигурации"}, "zh": {"label": "高级设置"}},
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"quantization_bit": {
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"en": {"label": "Quantization bit", "info": "Enable 4/8-bit model quantization (QLoRA)."},
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"ru": {"label": "Уровень квантования", "info": "Включить 4/8-битное квантование модели (QLoRA)."},
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"zh": {"label": "量化等级", "info": "启用 4/8 比特模型量化（QLoRA）。"},
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},
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"template": {
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"en": {"label": "Prompt template", "info": "The template used in constructing prompts."},
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"ru": {"label": "Шаблон запроса", "info": "Шаблон, используемый при формировании запросов."},
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"zh": {"label": "提示模板", "info": "构建提示词时使用的模板"},
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},
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"rope_scaling": {"en": {"label": "RoPE scaling"}, "zh": {"label": "RoPE 插值方法"}},
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"booster": {"en": {"label": "Booster"}, "zh": {"label": "加速方式"}},
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"rope_scaling": {"en": {"label": "RoPE scaling"}, "ru": {"label": "Масштабирование RoPE"}, "zh": {"label": "RoPE 插值方法"}},
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"booster": {"en": {"label": "Booster"}, "ru": {"label": "Ускоритель"}, "zh": {"label": "加速方式"}},
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"training_stage": {
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"en": {"label": "Stage", "info": "The stage to perform in training."},
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"ru": {"label": "Этап", "info": "Этап выполнения обучения."},
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"zh": {"label": "训练阶段", "info": "目前采用的训练方式。"},
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},
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"dataset_dir": {
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"en": {"label": "Data dir", "info": "Path to the data directory."},
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"ru": {"label": "Директория данных", "info": "Путь к директории данных."},
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"zh": {"label": "数据路径", "info": "数据文件夹的路径。"},
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},
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"dataset": {"en": {"label": "Dataset"}, "zh": {"label": "数据集"}},
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"data_preview_btn": {"en": {"value": "Preview dataset"}, "zh": {"value": "预览数据集"}},
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"preview_count": {"en": {"label": "Count"}, "zh": {"label": "数量"}},
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"page_index": {"en": {"label": "Page"}, "zh": {"label": "页数"}},
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"prev_btn": {"en": {"value": "Prev"}, "zh": {"value": "上一页"}},
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"next_btn": {"en": {"value": "Next"}, "zh": {"value": "下一页"}},
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"close_btn": {"en": {"value": "Close"}, "zh": {"value": "关闭"}},
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"preview_samples": {"en": {"label": "Samples"}, "zh": {"label": "样例"}},
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"dataset": {"en": {"label": "Dataset"}, "ru": {"label": "Набор данных"}, "zh": {"label": "数据集"}},
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"data_preview_btn": {"en": {"value": "Preview dataset"}, "ru": {"value": "Просмотреть набор данных"}, "zh": {"value": "预览数据集"}},
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"preview_count": {"en": {"label": "Count"}, "ru": {"label": "Количество"}, "zh": {"label": "数量"}},
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"page_index": {"en": {"label": "Page"}, "ru": {"label": "Страница"}, "zh": {"label": "页数"}},
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"prev_btn": {"en": {"value": "Prev"}, "ru": {"value": "Предыдущая"}, "zh": {"value": "上一页"}},
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"next_btn": {"en": {"value": "Next"}, "ru": {"value": "Следующая"}, "zh": {"value": "下一页"}},
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"close_btn": {"en": {"value": "Close"}, "ru": {"value": "Закрыть"}, "zh": {"value": "关闭"}},
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"preview_samples": {"en": {"label": "Samples"}, "ru": {"label": "Примеры"}, "zh": {"label": "样例"}},
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"cutoff_len": {
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"en": {"label": "Cutoff length", "info": "Max tokens in input sequence."},
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"ru": {"label": "Длина обрезки", "info": "Максимальное количество токенов во входной последовательности."},
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"zh": {"label": "截断长度", "info": "输入序列分词后的最大长度。"},
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},
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"learning_rate": {
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"en": {"label": "Learning rate", "info": "Initial learning rate for AdamW."},
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"ru": {"label": "Скорость обучения", "info": "Начальная скорость обучения для AdamW."},
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"zh": {"label": "学习率", "info": "AdamW 优化器的初始学习率。"},
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},
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"num_train_epochs": {
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"en": {"label": "Epochs", "info": "Total number of training epochs to perform."},
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"ru": {"label": "Эпохи", "info": "Общее количество эпох обучения."},
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"zh": {"label": "训练轮数", "info": "需要执行的训练总轮数。"},
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},
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"max_samples": {
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"en": {"label": "Max samples", "info": "Maximum samples per dataset."},
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"zh": {"label": "最大样本数", "info": "每个数据集最多使用的样本数。"},
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"ru": {"label": "Максимальное количество образцов", "info": "Максимальное количество образцов на набор данных."},
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"zh": {"label": "最大样本数", "info": "每个数据集的最大样本数。"},
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},
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"compute_type": {
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"en": {"label": "Compute type", "info": "Whether to use fp16 or bf16 mixed precision training."},
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"zh": {"label": "计算类型", "info": "是否启用 FP16 或 BF16 混合精度训练。"},
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"en": {"label": "Compute type", "info": "Whether to use mixed precision training (fp16 or bf16)."},
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"ru": {"label": "Тип вычислений", "info": "Использовать ли обучение смешанной точности fp16 или bf16."},
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"zh": {"label": "计算类型", "info": "是否使用混合精度训练（fp16 或 bf16）。"},
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},
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"batch_size": {
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"en": {"label": "Batch size", "info": "Number of samples to process per GPU."},
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"zh": {"label": "批处理大小", "info": "每块 GPU 上处理的样本数量。"},
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"en": {"label": "Batch size", "info": "Number of samples processed on each GPU."},
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"ru": {"label": "Размер пакета", "info": "Количество образцов для обработки на каждом GPU."},
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"zh": {"label": "批处理大小", "info": "每个 GPU 处理的样本数量。"},
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},
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"gradient_accumulation_steps": {
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"en": {"label": "Gradient accumulation", "info": "Number of gradient accumulation steps."},
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"en": {"label": "Gradient accumulation", "info": "Number of steps for gradient accumulation."},
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"ru": {"label": "Накопление градиента", "info": "Количество шагов накопления градиента."},
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"zh": {"label": "梯度累积", "info": "梯度累积的步数。"},
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},
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"lr_scheduler_type": {
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"en": {
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"label": "LR Scheduler",
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"info": "Name of learning rate scheduler.",
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},
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"zh": {"label": "学习率调节器", "info": "采用的学习率调节器名称。"},
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"en": {"label": "LR scheduler", "info": "Name of the learning rate scheduler."},
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"ru": {"label": "Планировщик скорости обучения", "info": "Название планировщика скорости обучения."},
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"zh": {"label": "学习率调节器", "info": "学习率调度器的名称。"},
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},
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"max_grad_norm": {
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"en": {"label": "Maximum gradient norm", "info": "Norm for gradient clipping.."},
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"zh": {"label": "最大梯度范数", "info": "用于梯度裁剪的范数。"},
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},
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"val_size": {
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"en": {"label": "Val size", "info": "Proportion of data in the dev set."},
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"zh": {"label": "验证集比例", "info": "验证集占全部样本的百分比。"},
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},
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"extra_tab": {"en": {"label": "Extra configurations"}, "zh": {"label": "其它参数设置"}},
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"logging_steps": {
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"en": {"label": "Logging steps", "info": "Number of steps between two logs."},
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"zh": {"label": "日志间隔", "info": "每两次日志输出间的更新步数。"},
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},
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"save_steps": {
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"en": {"label": "Save steps", "info": "Number of steps between two checkpoints."},
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"zh": {"label": "保存间隔", "info": "每两次断点保存间的更新步数。"},
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},
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"warmup_steps": {
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"en": {"label": "Warmup steps", "info": "Number of steps used for warmup."},
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"zh": {"label": "预热步数", "info": "学习率预热采用的步数。"},
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},
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"neftune_alpha": {
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"en": {"label": "NEFTune Alpha", "info": "Magnitude of noise adding to embedding vectors."},
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"zh": {"label": "NEFTune 噪声参数", "info": "嵌入向量所添加的噪声大小。"},
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},
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"sft_packing": {
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"en": {
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"label": "Pack sequences",
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"info": "Pack sequences into samples of fixed length in supervised fine-tuning.",
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},
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"zh": {"label": "序列打包", "info": "在有监督微调阶段将序列打包为相同长度的样本。"},
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},
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"upcast_layernorm": {
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"en": {"label": "Upcast LayerNorm", "info": "Upcast weights of layernorm in float32."},
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"zh": {"label": "缩放归一化层", "info": "将归一化层权重缩放至 32 位精度。"},
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},
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"lora_tab": {"en": {"label": "LoRA configurations"}, "zh": {"label": "LoRA 参数设置"}},
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"lora_rank": {
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"en": {"label": "LoRA rank", "info": "The rank of LoRA matrices."},
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"zh": {"label": "LoRA 秩", "info": "LoRA 矩阵的秩。"},
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},
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"lora_dropout": {
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"en": {"label": "LoRA Dropout", "info": "Dropout ratio of LoRA weights."},
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"zh": {"label": "LoRA 随机丢弃", "info": "LoRA 权重随机丢弃的概率。"},
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},
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"lora_target": {
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"en": {
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"label": "LoRA modules (optional)",
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"info": "Name(s) of target modules to apply LoRA. Use commas to separate multiple modules.",
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},
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"zh": {"label": "LoRA 作用模块（非必填）", "info": "应用 LoRA 的目标模块名称。使用英文逗号分隔多个名称。"},
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},
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"additional_target": {
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"en": {
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"label": "Additional modules (optional)",
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"info": "Name(s) of modules apart from LoRA layers to be set as trainable. Use commas to separate multiple modules.",
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},
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"zh": {"label": "附加模块（非必填）", "info": "除 LoRA 层以外的可训练模块名称。使用英文逗号分隔多个名称。"},
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},
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"create_new_adapter": {
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"en": {
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"label": "Create new adapter",
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"info": "Whether to create a new adapter with randomly initialized weight or not.",
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},
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"zh": {"label": "新建适配器", "info": "是否创建一个经过随机初始化的新适配器。"},
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},
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"rlhf_tab": {"en": {"label": "RLHF configurations"}, "zh": {"label": "RLHF 参数设置"}},
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"dpo_beta": {
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"en": {"label": "DPO beta", "info": "Value of the beta parameter in the DPO loss."},
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"zh": {"label": "DPO beta 参数", "info": "DPO 损失函数中 beta 超参数大小。"},
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},
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"dpo_ftx": {
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"en": {"label": "DPO-ftx weight", "info": "The weight of SFT loss in the DPO-ftx."},
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"zh": {"label": "DPO-ftx 权重", "info": "DPO-ftx 中 SFT 损失的权重大小。"},
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},
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"reward_model": {
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"en": {
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"label": "Reward model",
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"info": "Adapter of the reward model for PPO training. (Needs to refresh adapters)",
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},
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"zh": {"label": "奖励模型", "info": "PPO 训练中奖励模型的适配器路径。（需要刷新适配器）"},
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},
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"cmd_preview_btn": {"en": {"value": "Preview command"}, "zh": {"value": "预览命令"}},
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"start_btn": {"en": {"value": "Start"}, "zh": {"value": "开始"}},
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"stop_btn": {"en": {"value": "Abort"}, "zh": {"value": "中断"}},
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"output_dir": {
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"en": {"label": "Output dir", "info": "Directory for saving results."},
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"zh": {"label": "输出目录", "info": "保存结果的路径。"},
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},
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"output_box": {"en": {"value": "Ready."}, "zh": {"value": "准备就绪。"}},
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"loss_viewer": {"en": {"label": "Loss"}, "zh": {"label": "损失"}},
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"predict": {"en": {"label": "Save predictions"}, "zh": {"label": "保存预测结果"}},
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"load_btn": {"en": {"value": "Load model"}, "zh": {"value": "加载模型"}},
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"unload_btn": {"en": {"value": "Unload model"}, "zh": {"value": "卸载模型"}},
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"info_box": {"en": {"value": "Model unloaded, please load a model first."}, "zh": {"value": "模型未加载，请先加载模型。"}},
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"system": {"en": {"placeholder": "System prompt (optional)"}, "zh": {"placeholder": "系统提示词（非必填）"}},
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"tools": {"en": {"placeholder": "Tools (optional)"}, "zh": {"placeholder": "工具列表（非必填）"}},
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"query": {"en": {"placeholder": "Input..."}, "zh": {"placeholder": "输入..."}},
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"submit_btn": {"en": {"value": "Submit"}, "zh": {"value": "提交"}},
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"clear_btn": {"en": {"value": "Clear history"}, "zh": {"value": "清空历史"}},
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"max_length": {"en": {"label": "Maximum length"}, "zh": {"label": "最大长度"}},
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"max_new_tokens": {"en": {"label": "Maximum new tokens"}, "zh": {"label": "最大生成长度"}},
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"top_p": {"en": {"label": "Top-p"}, "zh": {"label": "Top-p 采样值"}},
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"temperature": {"en": {"label": "Temperature"}, "zh": {"label": "温度系数"}},
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"max_shard_size": {
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"en": {"label": "Max shard size (GB)", "info": "The maximum size for a model file."},
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"zh": {"label": "最大分块大小（GB）", "info": "单个模型文件的最大大小。"},
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},
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"export_quantization_bit": {
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"en": {"label": "Export quantization bit.", "info": "Quantizing the exported model."},
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"zh": {"label": "导出量化等级", "info": "量化导出模型。"},
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},
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"export_quantization_dataset": {
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"en": {"label": "Export quantization dataset.", "info": "The calibration dataset used for quantization."},
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"zh": {"label": "导出量化数据集", "info": "量化过程中使用的校准数据集。"},
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},
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"export_dir": {
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"en": {"label": "Export dir", "info": "Directory to save exported model."},
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"zh": {"label": "导出目录", "info": "保存导出模型的文件夹路径。"},
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},
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"export_btn": {"en": {"value": "Export"}, "zh": {"value": "开始导出"}},
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"max_grad_norm": {
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"en": {"label": "Maximum gradient norm", "info": "Norm for gradient clipping."},
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"zh": {"label": "最大梯度范数", "info": "用于梯度裁剪的范数。"},
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"ru": {"label": "Максимальная норма градиента", "info": "Норма для обрезки градиента."},
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},
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"val_size": {
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"en": {"label": "Val size", "info": "Proportion of data in the dev set."},
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"zh": {"label": "验证集比例", "info": "验证集占全部样本的百分比。"},
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"ru": {"label": "Размер валидации", "info": "Пропорция данных в наборе для разработки."},
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},
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"extra_tab": {"en": {"label": "Extra configurations"}, "zh": {"label": "其它参数设置"}, "ru": {"label": "Дополнительные конфигурации"}},
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"logging_steps": {
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"en": {"label": "Logging steps", "info": "Number of steps between two logs."},
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"zh": {"label": "日志间隔", "info": "每两次日志输出间的更新步数。"},
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"ru": {"label": "Шаги логирования", "info": "Количество шагов между двумя записями в журнале."},
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},
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"save_steps": {
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"en": {"label": "Save steps", "info": "Number of steps between two checkpoints."},
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"zh": {"label": "保存间隔", "info": "每两次断点保存间的更新步数。"},
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"ru": {"label": "Шаги сохранения", "info": "Количество шагов между двумя контрольными точками."},
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},
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"warmup_steps": {
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"en": {"label": "Warmup steps", "info": "Number of steps used for warmup."},
|
||||
"zh": {"label": "预热步数", "info": "学习率预热采用的步数。"},
|
||||
"ru": {"label": "Шаги прогрева", "info": "Количество шагов, используемых для прогрева."},
|
||||
},
|
||||
"neftune_alpha": {
|
||||
"en": {"label": "NEFTune Alpha", "info": "Magnitude of noise adding to embedding vectors."},
|
||||
"zh": {"label": "NEFTune 噪声参数", "info": "嵌入向量所添加的噪声大小。"},
|
||||
"ru": {"label": "NEFTune Alpha", "info": "Величина шума, добавляемого к векторам вложений."},
|
||||
},
|
||||
"sft_packing": {
|
||||
"en": {"label": "Pack sequences", "info": "Pack sequences into samples of fixed length in supervised fine-tuning."},
|
||||
"zh": {"label": "序列打包", "info": "在有监督微调阶段将序列打包为相同长度的样本。"},
|
||||
"ru": {"label": "Упаковка последовательностей", "info": "Упаковка последовательностей в образцы фиксированной длины при контролируемой тонкой настройке."},
|
||||
},
|
||||
"upcast_layernorm": {
|
||||
"en": {"label": "Upcast LayerNorm", "info": "Upcast weights of layernorm in float32."},
|
||||
"zh": {"label": "缩放归一化层", "info": "将归一化层权重缩放至 32 位精度。"},
|
||||
"ru": {"label": "Приведение весов LayerNorm", "info": "Приведение весов LayerNorm к float32."},
|
||||
},
|
||||
"lora_tab": {"en": {"label": "LoRA configurations"}, "zh": {"label": "LoRA 参数设置"}, "ru": {"label": "Конфигурации LoRA"}},
|
||||
"lora_rank": {
|
||||
"en": {"label": "LoRA rank", "info": "The rank of LoRA matrices."},
|
||||
"zh": {"label": "LoRA 秩", "info": "LoRA 矩阵的秩。"},
|
||||
"ru": {"label": "Ранг матриц LoRA", "info": "Ранг матриц LoRA."},
|
||||
},
|
||||
"lora_dropout": {
|
||||
"en": {"label": "LoRA Dropout", "info": "Dropout ratio of LoRA weights."},
|
||||
"zh": {"label": "LoRA 随机丢弃", "info": "LoRA 权重随机丢弃的概率。"},
|
||||
"ru": {"label": "Вероятность отсева LoRA", "info": "Вероятность отсева весов LoRA."},
|
||||
},
|
||||
"lora_target": {
|
||||
"en": {"label": "LoRA modules (optional)", "info": "Name(s) of target modules to apply LoRA. Use commas to separate multiple modules."},
|
||||
"zh": {"label": "LoRA 作用模块（非必填）", "info": "应用 LoRA 的目标模块名称。使用英文逗号分隔多个名称。"},
|
||||
"ru": {"label": "Модули LoRA (опционально)", "info": "Имена целевых модулей для применения LoRA. Используйте запятые для разделения нескольких модулей."},
|
||||
},
|
||||
"additional_target": {
|
||||
"en": {"label": "Additional modules (optional)", "info": "Name(s) of modules apart from LoRA layers to be set as trainable. Use commas to separate multiple modules."},
|
||||
"zh": {"label": "附加模块（非必填）", "info": "除 LoRA 层以外的可训练模块名称。使用英文逗号分隔多个名称。"},
|
||||
"ru": {"label": "Дополнительные модули (опционально)", "info": "Имена модулей, кроме слоев LoRA, которые следует установить в качестве обучаемых. Используйте запятые для разделения нескольких модулей."},
|
||||
},
|
||||
"create_new_adapter": {
|
||||
"en": {"label": "Create new adapter", "info": "Whether to create a new adapter with randomly initialized weight or not."},
|
||||
"zh": {"label": "新建适配器", "info": "是否创建一个经过随机初始化的新适配器。"},
|
||||
"ru": {"label": "Создать новый адаптер", "info": "Создать новый адаптер с случайной инициализацией веса или нет."},
|
||||
},
|
||||
"rlhf_tab": {"en": {"label": "RLHF configurations"}, "zh": {"label": "RLHF 参数设置"}, "ru": {"label": "Конфигурации RLHF"}},
|
||||
"dpo_beta": {
|
||||
"en": {"label": "DPO beta", "info": "Value of the beta parameter in the DPO loss."},
|
||||
"zh": {"label": "DPO beta 参数", "info": "DPO 损失函数中 beta 超参数大小。"},
|
||||
"ru": {"label": "DPO бета", "info": "Значение параметра бета в функции потерь DPO."},
|
||||
},
|
||||
"dpo_ftx": {
|
||||
"en": {"label": "DPO-ftx weight", "info": "The weight of SFT loss in the DPO-ftx."},
|
||||
"zh": {"label": "DPO-ftx 权重", "info": "DPO-ftx 中 SFT 损失的权重大小。"},
|
||||
"ru": {"label": "Вес DPO-ftx", "info": "Вес функции потерь SFT в DPO-ftx."},
|
||||
},
|
||||
"reward_model": {
|
||||
"en": {"label": "Reward model", "info": "Adapter of the reward model for PPO training. (Needs to refresh adapters)"},
|
||||
"zh": {"label": "奖励模型", "info": "PPO 训练中奖励模型的适配器路径。（需要刷新适配器）"},
|
||||
"ru": {"label": "Модель вознаграждения", "info": "Адаптер модели вознаграждения для обучения PPO. (Необходимо обновить адаптеры)"},
|
||||
},
|
||||
"cmd_preview_btn": {"en": {"value": "Preview command"}, "zh": {"value": "预览命令"}, "ru": {"value": "Просмотр команды"}},
|
||||
"start_btn": {"en": {"value": "Start"}, "zh": {"value": "开始"}, "ru": {"value": "Начать"}},
|
||||
"stop_btn": {"en": {"value": "Abort"}, "zh": {"value": "中断"}, "ru": {"value": "Прервать"}},
|
||||
"output_dir": {
|
||||
"en": {"label": "Output dir", "info": "Directory for saving results."},
|
||||
"zh": {"label": "输出目录", "info": "保存结果的路径。"},
|
||||
"ru": {"label": "Выходной каталог", "info": "Каталог для сохранения результатов."},
|
||||
},
|
||||
|
||||
"output_box": {"en": {"value": "Ready."}, "zh": {"value": "准备就绪。"}, "ru": {"value": "Готово."}},
|
||||
"loss_viewer": {"en": {"label": "Loss"}, "zh": {"label": "损失"}, "ru": {"label": "Потери"}},
|
||||
"predict": {"en": {"label": "Save predictions"}, "zh": {"label": "保存预测结果"}, "ru": {"label": "Сохранить предсказания"}},
|
||||
"load_btn": {"en": {"value": "Load model"}, "zh": {"value": "加载模型"}, "ru": {"value": "Загрузить модель"}},
|
||||
"unload_btn": {"en": {"value": "Unload model"}, "zh": {"value": "卸载模型"}, "ru": {"value": "Выгрузить модель"}},
|
||||
"info_box": {"en": {"value": "Model unloaded, please load a model first."}, "zh": {"value": "模型未加载，请先加载模型。"}, "ru": {"value": "Модель не загружена, загрузите модель сначала."}},
|
||||
"system": {"en": {"placeholder": "System prompt (optional)"}, "zh": {"placeholder": "系统提示词（非必填）"}, "ru": {"placeholder": "Системный запрос (по желанию)"}},
|
||||
"tools": {"en": {"placeholder": "Tools (optional)"}, "zh": {"placeholder": "工具列表（非必填）"}, "ru": {"placeholder": "Инструменты (по желанию)"}},
|
||||
"query": {"en": {"placeholder": "Input..."}, "zh": {"placeholder": "输入..."}, "ru": {"placeholder": "Ввод..."}},
|
||||
"submit_btn": {"en": {"value": "Submit"}, "zh": {"value": "提交"}, "ru": {"value": "Отправить"}},
|
||||
"clear_btn": {"en": {"value": "Clear history"}, "zh": {"value": "清空历史"}, "ru": {"value": "Очистить историю"}},
|
||||
"max_length": {"en": {"label": "Maximum length"}, "zh": {"label": "最大长度"}, "ru": {"label": "Максимальная длина"}},
|
||||
"max_new_tokens": {"en": {"label": "Maximum new tokens"}, "zh": {"label": "最大生成长度"}, "ru": {"label": "Максимальное количество новых токенов"}},
|
||||
"top_p": {"en": {"label": "Top-p"}, "zh": {"label": "Top-p 采样值"}, "ru": {"label": "Лучшие-p"}},
|
||||
"temperature": {"en": {"label": "Temperature"}, "zh": {"label": "温度系数"}, "ru": {"label": "Температура"}},
|
||||
"max_shard_size": {
|
||||
"en": {"label": "Max shard size (GB)", "info": "The maximum size for a model file."},
|
||||
"zh": {"label": "最大分块大小（GB）", "info": "单个模型文件的最大大小。"},
|
||||
"ru": {"label": "Максимальный размер фрагмента (ГБ)", "info": "Максимальный размер файла модели."},
|
||||
},
|
||||
"export_quantization_bit": {
|
||||
"en": {"label": "Export quantization bit.", "info": "Quantizing the exported model."},
|
||||
"zh": {"label": "导出量化等级", "info": "量化导出模型。"},
|
||||
"ru": {"label": "Экспорт бита квантования", "info": "Квантование экспортируемой модели."},
|
||||
},
|
||||
"export_quantization_dataset": {
|
||||
"en": {"label": "Export quantization dataset.", "info": "The calibration dataset used for quantization."},
|
||||
"zh": {"label": "导出量化数据集", "info": "量化过程中使用的校准数据集。"},
|
||||
"ru": {"label": "Экспорт набора данных для квантования", "info": "Набор данных калибровки, используемый для квантования."},
|
||||
},
|
||||
"export_dir": {
|
||||
"en": {"label": "Export dir", "info": "Directory to save exported model."},
|
||||
"zh": {"label": "导出目录", "info": "保存导出模型的文件夹路径。"},
|
||||
"ru": {"label": "Каталог экспорта", "info": "Каталог для сохранения экспортированной модели."},
|
||||
},
|
||||
"export_btn": {"en": {"value": "Export"}, "zh": {"value": "开始导出"}, "ru": {"value": "Экспорт"}},
|
||||
|
||||
}
|
||||
|
||||
|
||||
ALERTS = {
|
||||
"err_conflict": {"en": "A process is in running, please abort it firstly.", "zh": "任务已存在，请先中断训练。"},
|
||||
"err_exists": {"en": "You have loaded a model, please unload it first.", "zh": "模型已存在，请先卸载模型。"},
|
||||
"err_no_model": {"en": "Please select a model.", "zh": "请选择模型。"},
|
||||
"err_no_path": {"en": "Model not found.", "zh": "模型未找到。"},
|
||||
"err_no_dataset": {"en": "Please choose a dataset.", "zh": "请选择数据集。"},
|
||||
"err_no_adapter": {"en": "Please select an adapter.", "zh": "请选择一个适配器。"},
|
||||
"err_no_export_dir": {"en": "Please provide export dir.", "zh": "请填写导出目录"},
|
||||
"err_failed": {"en": "Failed.", "zh": "训练出错。"},
|
||||
"err_demo": {
|
||||
"en": "Training is unavailable in demo mode, duplicate the space to a private one first.",
|
||||
"zh": "展示模式不支持训练，请先复制到私人空间。",
|
||||
},
|
||||
"err_device_count": {"en": "Multiple GPUs are not supported yet.", "zh": "尚不支持多 GPU 训练。"},
|
||||
"err_tool_name": {"en": "Tool name not found.", "zh": "工具名称未找到。"},
|
||||
"err_json_schema": {"en": "Invalid JSON schema.", "zh": "Json 格式错误。"},
|
||||
"info_aborting": {"en": "Aborted, wait for terminating...", "zh": "训练中断，正在等待线程结束……"},
|
||||
"info_aborted": {"en": "Ready.", "zh": "准备就绪。"},
|
||||
"info_finished": {"en": "Finished.", "zh": "训练完毕。"},
|
||||
"info_loading": {"en": "Loading model...", "zh": "加载中……"},
|
||||
"info_unloading": {"en": "Unloading model...", "zh": "卸载中……"},
|
||||
"info_loaded": {"en": "Model loaded, now you can chat with your model!", "zh": "模型已加载，可以开始聊天了！"},
|
||||
"info_unloaded": {"en": "Model unloaded.", "zh": "模型已卸载。"},
|
||||
"info_exporting": {"en": "Exporting model...", "zh": "正在导出模型……"},
|
||||
"info_exported": {"en": "Model exported.", "zh": "模型导出完成。"},
|
||||
"err_conflict": {"en": "A process is in running, please abort it firstly.", "zh": "任务已存在，请先中断训练。", "ru": "Процесс уже запущен, пожалуйста, сначала прервите его."},
|
||||
"err_exists": {"en": "You have loaded a model, please unload it first.", "zh": "模型已存在，请先卸载模型。", "ru": "Вы загрузили модель, сначала разгрузите ее."},
|
||||
"err_no_model": {"en": "Please select a model.", "zh": "请选择模型。", "ru": "Пожалуйста, выберите модель."},
|
||||
"err_no_path": {"en": "Model not found.", "zh": "模型未找到。", "ru": "Модель не найдена."},
|
||||
"err_no_dataset": {"en": "Please choose a dataset.", "zh": "请选择数据集。", "ru": "Пожалуйста, выберите набор данных."},
|
||||
"err_no_adapter": {"en": "Please select an adapter.", "zh": "请选择一个适配器。", "ru": "Пожалуйста, выберите адаптер."},
|
||||
"err_no_export_dir": {"en": "Please provide export dir.", "zh": "请填写导出目录", "ru": "Пожалуйста, укажите каталог для экспорта."},
|
||||
"err_failed": {"en": "Failed.", "zh": "训练出错。", "ru": "Ошибка."},
|
||||
"err_demo": {
|
||||
"en": "Training is unavailable in demo mode, duplicate the space to a private one first.",
|
||||
"zh": "展示模式不支持训练，请先复制到私人空间。",
|
||||
"ru": "Обучение недоступно в демонстрационном режиме, сначала скопируйте пространство в частное."
|
||||
},
|
||||
"err_device_count": {"en": "Multiple GPUs are not supported yet.", "zh": "尚不支持多 GPU 训练。", "ru": "Пока не поддерживается множественные GPU."},
|
||||
"err_tool_name": {"en": "Tool name not found.", "zh": "工具名称未找到。", "ru": "Имя инструмента не найдено."},
|
||||
"err_json_schema": {"en": "Invalid JSON schema.", "zh": "Json 格式错误。", "ru": "Неверная схема JSON."},
|
||||
"info_aborting": {"en": "Aborted, wait for terminating...", "zh": "训练中断，正在等待线程结束……", "ru": "Прервано, ожидание завершения..."},
|
||||
"info_aborted": {"en": "Ready.", "zh": "准备就绪。", "ru": "Готово."},
|
||||
"info_finished": {"en": "Finished.", "zh": "训练完毕。", "ru": "Завершено."},
|
||||
"info_loading": {"en": "Loading model...", "zh": "加载中……", "ru": "Загрузка модели..."},
|
||||
"info_unloading": {"en": "Unloading model...", "zh": "卸载中……", "ru": "Выгрузка модели..."},
|
||||
"info_loaded": {"en": "Model loaded, now you can chat with your model!", "zh": "模型已加载，可以开始聊天了！", "ru": "Модель загружена, теперь вы можете общаться с вашей моделью!"},
|
||||
"info_unloaded": {"en": "Model unloaded.", "zh": "模型已卸载。", "ru": "Модель выгружена."},
|
||||
"info_exporting": {"en": "Exporting model...", "zh": "正在导出模型……", "ru": "Экспорт модели..."},
|
||||
"info_exported": {"en": "Model exported.", "zh": "模型导出完成。", "ru": "Модель экспортирована."},
|
||||
|
||||
}
|
||||
|
|
|
|||
Loading…
Reference in New Issue