初始化项目，由ModelHub XC社区提供模型

Model: Ramikan-BR/TiamaPY-v34
Source: Original Platform

.gitattributes

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README.md

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+---
+base_model: unsloth/tinyllama-chat-bnb-4bit
+language:
+- en
+license: apache-2.0
+tags:
+- text-generation-inference
+- transformers
+- unsloth
+- llama
+- trl
+- sft
+---
+``` Python
+# Question
+
+if False:
+    from unsloth import FastLanguageModel
+    model, tokenizer = FastLanguageModel.from_pretrained(
+        model_name = "lora_model", # YOUR MODEL YOU USED FOR TRAINING
+        max_seq_length = max_seq_length,
+        dtype = dtype,
+        load_in_4bit = load_in_4bit,
+    )
+    FastLanguageModel.for_inference(model) # Enable native 2x faster inference
+
+# alpaca_prompt = You MUST copy from above!
+
+inputs = tokenizer(
+[
+    alpaca_prompt.format(
+        "Eu preciso treinar uma IA gpt2 do hugginface em meu computador", # instruction
+        "", # input
+        "", # output - leave this blank for generation!
+    )
+], return_tensors = "pt").to("cuda")
+
+from transformers import TextStreamer
+text_streamer = TextStreamer(tokenizer)
+_ = model.generate(**inputs, streamer = text_streamer, max_new_tokens = 4096)
+
+# Answer
+
+<s> Below is an instruction that describes a task related to Python programming or computer science concepts. Provide a detailed, accurate, and helpful response that addresses the query or solves the problem presented. Follow these guidelines:
+
+1. If the task involves coding, provide a complete, working Python solution with explanations.
+2. If it's a conceptual question, explain thoroughly, using examples where appropriate.
+3. Break down complex problems or concepts into steps or components.
+4. If you're unsure about any part of your response, clearly state your level of confidence and any assumptions you're making.
+5. If the query is ambiguous or lacks necessary information, ask for clarification before proceeding.
+6. After providing your response, briefly summarize the key points or solution.
+
+Remember, accuracy and helpfulness are crucial. Avoid making unfounded claims or providing incorrect information.
+
+### Input:
+Eu preciso treinar uma IA gpt2 do hugginface em meu computador
+
+### Output:
+ 
+# Importações necessárias
+from transformers import GPT2LMHeadModel, GPT2Tokenizer
+from transformers import TrainingArguments, Trainer
+from transformers.data import DataCollatorForLanguageModeling
+from transformers.data.processors import DataProcessor
+
+# Configurações
+training_args = TrainingArguments(
+   output_dir='./resultados',
+   evaluation_strategy='epoch',
+   learning_rate=2e-5,
+   per_device_train_batch_size=8,
+   eval_steps=1000,
+   num_warmupSteps=500,
+   weighted_metric='accuracy',
+)
+
+# Carregamento do tokenizador
+tokenizer = GPT2Tokenizer.from_pretrained('gpt2')
+
+# Carregamento do modelo
+modelo = GPT2LMHeadModel.from_pretrained('gpt2')
+
+# Configurações do tracker
+tracker = DataProcessor(
+   input_class=DataProcessor,
+   batch_size=1,
+   max_length=100,
+   padding=True,
+   truncation=True,
+)
+
+# Treinando o modelo
+trainer = Trainer(
+   args=training_args,
+   train_loop=tracker,
+   trainable_pipelines=[],
+)
+
+# Treinando o modelo
+trainer.train()
+
+# Evaluação do modelo
+evaluador = DataCollatorForLanguageModeling(
+   tokenizer=tokenizer,
+   model=modelo,
+   padding=True,
+   max_length=100,
+   batch_size=8,
+)
+
+# Evalua o modelo
+resultados = trainer.evaluate()
+
+# Imprimir os resultados
+for name, loss, acc in resultados:
+   print(f'{name}: {loss}, {acc:.2f}%')</s>
+
+```
+
+# Uploaded  model
+
+- **Developed by:** Ramikan-BR
+- **License:** apache-2.0
+- **Finetuned from model :** unsloth/tinyllama-chat-bnb-4bit
+
+This llama 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)

config.json

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+{
+  "_name_or_path": "unsloth/tinyllama-chat-bnb-4bit",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 5632,
+  "max_position_embeddings": 4096,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 22,
+  "num_key_value_heads": 4,
+  "pad_token_id": 0,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
+    "factor": 2.0,
+    "type": "linear"
+  },
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.41.2",
+  "unsloth_version": "2024.6",
+  "use_cache": true,
+  "vocab_size": 32000
+}

generation_config.json

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+{
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "max_length": 2048,
+  "pad_token_id": 0,
+  "transformers_version": "4.41.2"
+}

model.safetensors

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pytorch_model.bin

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special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n'  + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": false,
+  "model_max_length": 4096,
+  "pad_token": "<unk>",
+  "padding_side": "left",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

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