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base_model: unsloth/llama-3.3-70b-instruct |
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tags: |
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- state-of-the-art |
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- reasoning |
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- chain-of-thought |
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- text-generation |
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- transformers |
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- llama |
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- instruction-tuning |
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license: apache-2.0 |
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language: |
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- en |
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--- |
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# Model Card: CogniLink - Redefining Reasoning AI |
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## Overview |
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CogniLink is a **state-of-the-art (SOTA) reasoning model**, engineered to set new benchmarks in logical problem-solving and chain-of-thought capabilities. Leveraging the power of LLaMA 3.3 70B, CogniLink excels in multi-step reasoning, inference, and real-time decision-making across diverse domains. Whether tackling mathematical proofs, legal analyses, or dynamic real-world scenarios, CogniLink ensures clarity, precision, and scalability. |
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Designed for both **high-performance tasks** and **resource-efficient environments**, CogniLink represents the perfect fusion of innovation and practicality. |
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## Key Features |
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- **Base Model:** [unsloth/llama-3.3-70b-instruct](https://huggingface.co/unsloth/llama-3.3-70b-instruct-bnb-4bit) |
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- **Developed By:** Daemontatox |
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- **License:** Apache 2.0 (open and permissive) |
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- **Primary Language:** English |
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- **Specialization:** Multi-domain reasoning, step-by-step logic, and advanced inference. |
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**CogniLink is optimized for tasks requiring:** |
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- **Reasoning Depth:** Multi-step logic with exceptional accuracy. |
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- **Chain-of-Thought (CoT):** Built-in mechanisms to generate clear, stepwise reasoning paths. |
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- **Resource Efficiency:** Ideal for deployment on both high-performance servers and resource-constrained devices, including edge computing platforms. |
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## Training and Optimization |
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CogniLink’s fine-tuning was accelerated using **[Unsloth](https://github.com/unslothai/unsloth)**, enabling a **2x faster training pipeline**. The training process was powered by Hugging Face's **TRL library**, ensuring seamless instruction tuning and robust adaptability across reasoning-heavy applications. |
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With advanced techniques like **quantization-aware training** and parameter-efficient fine-tuning, CogniLink is lightweight without compromising on performance, making it a top choice for edge deployment and embedded systems. |
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Special thanks to **[Modal.com](https://modal.com)** for providing **H100 GPUs**, which enabled accelerated training and optimized performance for CogniLink. Their generous support significantly contributed to the model’s development and deployment readiness. |
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## Applications |
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CogniLink is versatile and excels in various industries: |
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### **1. Education and Training** |
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- Powers AI tutors for **step-by-step problem-solving** in STEM education. |
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- Supports interactive learning tools with detailed explanations. |
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### **2. Research and Academia** |
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- Assists researchers with **hypothesis testing**, complex analysis, and paper drafting. |
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- Enhances productivity in tasks requiring deep logical reasoning. |
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### **3. Business Decision Support** |
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- Real-time **scenario analysis** for strategic decision-making. |
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- Risk assessment tools for dynamic business environments. |
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### **4. Legal and Policy Analysis** |
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- Enables multi-step reasoning for **case law interpretations** and **regulatory reviews**. |
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- Assists legal professionals with clear and logical argument generation. |
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### **5. Healthcare AI** |
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- Supports diagnostics and medical workflows with robust reasoning models. |
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- Ensures accuracy in multi-step inferential tasks like patient case reviews. |
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## Technical Specifications |
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- **Quantization:** Fully compatible with 4-bit inference for efficient performance. |
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- **Latency:** Optimized for real-time responses in latency-sensitive applications. |
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- **Scalability:** Deployable on diverse hardware setups, from high-end GPUs to edge devices. |
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## Why Choose CogniLink? |
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CogniLink isn’t just a model; it’s a **reasoning companion**. Its fine-tuned chain-of-thought design ensures not just answers, but **rational, explainable processes**, giving users the confidence and insights they need to make critical decisions. |
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- **Transparent Reasoning:** Every decision is backed by a logical thought process. |
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- **Versatile Applications:** From academia to business, CogniLink adapts effortlessly. |
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- **Cutting-Edge Efficiency:** High performance meets cost-effectiveness. |
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## Get Started |
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CogniLink is available for download and deployment. Start integrating advanced reasoning into your applications today! |
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For inquiries, contributions, or support, visit **[Unsloth GitHub](https://github.com/unslothai/unsloth)**. |
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**CogniLink: Connecting Intelligence with Clarity.** |
