Tamnemtf
/

Ae-calem-mistral-7b-v0.2

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 ---
 library_name: transformers
-tags: []
 ---
 # Model Card for Model ID
-<!-- Provide a quick summary of what the model is/does. -->
@@ -14,186 +23,56 @@ tags: []
 ### Model Description
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-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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-## Uses
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 ---
+language:
+- vi
 library_name: transformers
+tags:
+- LLMs
+- NLP
+- Vietnamese
+license: mit
 ---
 # Model Card for Model ID
+Chatbots can be programmed with a large knowledge base on answer users' questions on a variety of topics. They can provide facts, data, explanations, definitions, etc.
+Complete tasks. Chatbots can be integrated with other systems and APIs to actually do things for users. Based on a user's preferences and past interactions, chatbots can suggest products, services, content and more that might be relevant and useful to the user.
+Provide customer service. Chatbots can handle many simple customer service interactions to answer questions, handle complaints, process returns, etc. This allows human agents to focus on more complex issues.
+Generate conversational responses - Using NLP and machine learning, chatbots can understand natural language and generate conversational responses, creating fluent interactions.
 ### Model Description
 <!-- Provide a longer summary of what this model is. -->
+- **Model type:** Mistral
+- **Language(s) (NLP):** Vietnamese
+- **Finetuned from model :** [Viet-Mistral/Vistral-7B-Chat](https://huggingface.co/Viet-Mistral/Vistral-7B-Chat)
+### Purpose
+This model is a improve from the old one. It's have the new the tokenizer_config.json to use <|im_start|> and <|im_end|> as the additional special tokens.
 ### Training Data
+Our dataset was make base on our university sudent notebook. It includes majors, university regulations and other information about our university.
+[hcmue_qa](https://huggingface.co/datasets/Tamnemtf/hcmue_qa)
+### Training Procedure
+```python
+# Load LoRA configuration
+peft_config = LoraConfig(
+    r=8,
+    lora_alpha=16,
+    target_modules=[
+        "q_proj",
+        "k_proj",
+        "v_proj",
+        "o_proj",
+        "gate_proj",
+        "up_proj",
+        "down_proj",
+        "lm_head",
+    ],
+    bias="none",
+    lora_dropout=0.05,  # Conventional
+    task_type="CAUSAL_LM",
+)
+#update newchat template
+"chat_template": "{% for message in messages %}{{'<|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": "<|im_end|>",
+  "legacy": true,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<unk>",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false,
+  "use_fast": true
+}
+```
+## Contact
+nguyndantdm6@gmail.com