初始化项目，由ModelHub XC社区提供模型

Model: Ramikan-BR/Qwen2-0.5B-v30
Source: Original Platform

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README.md

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+---
+base_model: unsloth/qwen2-0.5b-bnb-4bit
+language:
+- en
+license: apache-2.0
+tags:
+- text-generation-inference
+- transformers
+- unsloth
+- qwen2
+- trl
+- sft
+---
+
+1 - ['Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.\n\n### Input:\nContinue the fibonnaci sequence.\n\n### Output:\n1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144, 233, 377, 610, 987, 1597, 2584, 4181, 6765, 10946, 17711, 28657, 46368, 75025, 121393, 196418, 317811']
+
+2 - Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.
+
+### Input:
+What is fibonacci sequence?
+
+### Output:
+The Fibonacci sequence is a series of numbers in which each number is the sum of the two preceding ones, usually starting with 0 and 1. The sequence goes like this: 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144, 233, 377, 610, 987, 1597, 2584, 4181, 6765, 10946, 17711, 28657, 46374, 75031, 121305, 196600, 317905, 514511, 832416, 1347927, 2180343, 3528260, 5705503, 9233763, 14949263,
+
+3 - Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.
+
+### Input:
+crie o jogo da cobrinha completo.
+
+### Output:
+``` python 
+import random
+
+class Game:
+    def __init__(self):
+        self.board = []
+        self.player = 'X'
+        self.player_score = 0
+        self.computer_score = 0
+
+    def play(self):
+        while True:
+            self.board = [['.' for _ in range(3)] for _ in range(3)]
+            self.player = 'X'
+            self.computer_score = 0
+            self.player_score = 0
+
+            for _ in range(3):
+                for _ in range(3):
+                    self.board[_][_] = '.'
+
+            print(self.board)
+
+            while True:
+                user_input = input('Player {}, pick a cell: '.format(self.player))
+                if user_input in self.board:
+                    self.board[user_input] = self.player
+                    self.player = 'O' if self.player == 'X' else 'X'
+                    self.player_score += 1
+                    if self.player_score == 9:
+                        print('Player {} wins!'.format(self.player))
+                        return
+                else:
+                    print('Invalid input. Try again.')
+
+            while True:
+                computer_input = random.choice(self.board)
+                if computer_input == '.':
+                    print('Computer picks {}.'.format(computer_input))
+                    break
+                self.board[computer_input] = self.computer_score
+                self.computer_score += 1
+                if self.computer_score == 9:
+                    print('Computer wins!'.format(self.computer_score))
+                    return
+                if self.player == 'X' and self.computer_score == 9:
+                    print('It is a draw!')
+                    return
+                if self.player == 'O' and self.computer_score == 9:
+                    print('Player {} wins!'.format(self.player))
+                    return
+
+if __name__ == '__main__':
+    game = Game()
+    game.play()<|endoftext|>
+
+```
+# Uploaded  model
+
+- **Developed by:** Ramikan-BR
+- **License:** apache-2.0
+- **Finetuned from model :** unsloth/qwen2-0.5b-bnb-4bit
+
+This qwen2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+
+[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)

added_tokens.json

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+  "<|endoftext|>": 151643,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644
+}

config.json

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+{
+  "_name_or_path": "unsloth/qwen2-0.5b-bnb-4bit",
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "eos_token_id": 151643,
+  "hidden_act": "silu",
+  "hidden_size": 896,
+  "initializer_range": 0.02,
+  "intermediate_size": 4864,
+  "max_position_embeddings": 131072,
+  "max_window_layers": 24,
+  "model_type": "qwen2",
+  "num_attention_heads": 14,
+  "num_hidden_layers": 24,
+  "num_key_value_heads": 2,
+  "pad_token_id": 151646,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "torch_dtype": "float16",
+  "transformers_version": "4.44.0",
+  "unsloth_version": "2024.8",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

generation_config.json

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+{
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+  "eos_token_id": 151643,
+  "max_length": 131072,
+  "max_new_tokens": 2048,
+  "pad_token_id": 151646,
+  "transformers_version": "4.44.0"
+}

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special_tokens_map.json

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+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>"
+  ],
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
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+    "lstrip": false,
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tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
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+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
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+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "normalized": false,
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+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>"
+  ],
+  "bos_token": null,
+  "chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "errors": "replace",
+  "model_max_length": 131072,
+  "pad_token": "<|PAD_TOKEN|>",
+  "padding_side": "left",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

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