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- ---
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- license: apache-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ tags:
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+ - text-generation
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+ - llm
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+ - ai
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+ - artificial intelligence
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+ - large language model
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+ - math
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+ - coding
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+ - science
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+ - daily tasks
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+ license: apache-2.0
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+ library_name: transformers
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+ ---
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+
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+ # LaxoPro-1.5
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+
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+ ## Model Description
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+
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+ LaxoPro-1.5 is a high-quality Large Language Model (LLM) designed to excel in a wide range of tasks, including:
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+
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+ * **Mathematics:** Solving mathematical problems, performing calculations, and providing mathematical explanations.
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+ * **Coding:** Generating code snippets, debugging code, and answering programming-related questions.
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+ * **General Questions:** Answering a wide variety of general knowledge questions accurately and comprehensively.
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+ * **Science Questions:** Providing information and explanations on various scientific topics.
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+ * **Daily Tasks:** Assisting with everyday tasks, such as writing emails, setting reminders, generating to-do lists, and more.
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+
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+ LaxoPro-1.5 employs the **CA (Combine Architectures)** method, which enables it to effectively address diverse queries and tasks. This model surpasses its predecessors, Loxa-4B and Loxa-3B, in terms of accuracy and performance.
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+
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+ ## Key Features
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+
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+ * **High Accuracy:** LaxoPro-1.5 demonstrates superior accuracy compared to Loxa-4B and Loxa-3B, providing more reliable and precise responses.
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+ * **Broad Capabilities:** Handles a diverse range of tasks, from complex mathematical problems and coding challenges to general knowledge and everyday tasks.
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+ * **Optimized for Efficiency:** The model is well-optimized to run efficiently even on smaller GPUs, making it accessible for users with limited computational resources.
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+ * **CA (Combine Architectures) Method:** Leverages the CA method to effectively combine different architectural strengths, enhancing overall performance.
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+
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+ ## Intended Use
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+
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+ LaxoPro-1.5 is intended for a wide range of applications, including:
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+
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+ * **Research:** As a tool for research in natural language processing, artificial intelligence, and related fields.
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+ * **Education:** As an educational aid for students and educators in various subjects.
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+ * **Development:** As a component in building intelligent applications, chatbots, and virtual assistants.
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+ * **Personal Use:** As a versatile tool to assist with daily tasks, answer questions, and provide information.
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+
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+ ## Limitations
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+
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+ * **Potential Biases:** Like all LLMs, LaxoPro-1.5 may reflect biases present in its training data.
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+ * **Factual Accuracy:** While highly accurate, the model may occasionally generate incorrect or misleading information. It is always recommended to verify information from multiple sources.
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+ * **Resource Requirements:** Although optimized, the model still requires a certain level of computational resources to run effectively.
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+
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+ ## How to Use
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+
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+ **Example with `transformers.pipeline`:**
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+
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+ ```python
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+ from transformers import pipeline
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+
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+ messages = [
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+ {"role": "user", "content": "You are alex, a helpful assistant"},
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+ {"role": "user", "content": "Who are you?"},
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+ ]
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+ pipe = pipeline("text-generation", model="explorewithai/LaxoPro-1.5", device_map = "cuda")
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+ pipe(messages)
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+ ```