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Model: IlyaGusev/rugpt_medium_turbo_instructed
Source: Original Platform

.gitattributes

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README.md

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+---
+language:
+- ru
+pipeline_tag: text-generation
+inference:
+  parameters:
+    no_repeat_ngram_size: 4
+    repetition_penalty: 1.2
+    num_beams: 1
+    top_p: 0.95
+    temperature: 0.5
+    max_length: 250
+widget:
+- text: |-
+    Задание: Сочини длинный рассказ, обязательно упоминая следующие объекты.
+    Вход: Таня, мяч
+    Выход:
+  example_title: Таня и мяч
+- text: |-
+    Задание: Заполни пропуск в предложении, выведи только одно слово.
+    Вход: Я пытался ____ от маньяка, но он меня настиг.
+    Выход:
+  example_title: Маньяк
+- text: |-
+    Как приготовить лазанью?
+
+    Ответ:
+  example_title: Лазанья
+- text: |-
+    Вопрос: Почему трава зелёная?
+
+    Ответ:
+  example_title: Зелёная трава
+- text: >-
+    Могут ли в природе встретиться в одном месте белый медведь и пингвин? Если
+    нет, то почему?
+
+
+    Выход:
+  example_title: Медведь и пигвин
+- text: |-
+    Задание: Реши уравнение: 4x + 5 = 21
+    
+    Выход:
+  example_title: Уравнение
+datasets:
+- IlyaGusev/ru_turbo_alpaca
+---

added_tokens.json

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+{
+  "<|endoftext|>": 50257
+}

config.json

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+{
+  "_name_or_path": "sberbank-ai/rugpt3medium_based_on_gpt2",
+  "activation_function": "gelu_new",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 1,
+  "decoder_start_token_id": 1,
+  "embd_pdrop": 0.1,
+  "eos_token_id": 2,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "max_length": 512,
+  "model_type": "gpt2",
+  "n_ctx": 2048,
+  "n_embd": 1024,
+  "n_head": 16,
+  "n_inner": null,
+  "n_layer": 24,
+  "n_positions": 2048,
+  "n_special": 0,
+  "num_beams": 5,
+  "output_past": true,
+  "pad_token_id": 0,
+  "predict_special_tokens": true,
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.27.3",
+  "use_cache": true,
+  "vocab_size": 50258
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 50256,
+  "eos_token_id": 50256,
+  "transformers_version": "4.27.1",
+  "no_repeat_ngram_size": 4,
+  "num_beams": 1,
+  "top_p": 0.95,
+  "temperature": 0.5,
+  "repetition_penalty": 1.2,
+  "max_length": 512
+}

pytorch_model.bin

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special_tokens_map.json

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+{
+  "bos_token": "<s>",
+  "eos_token": "</s>",
+  "pad_token": "<pad>",
+  "sep_token": "<s>",
+  "unk_token": "<unk>"
+}

tokenizer.json

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tokenizer_config.json

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+{
+  "add_bos_token": false,
+  "add_prefix_space": false,
+  "bos_token": {
+    "__type": "AddedToken",
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "__type": "AddedToken",
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "errors": "replace",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": null,
+  "special_tokens_map_file": null,
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": {
+    "__type": "AddedToken",
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}