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base_model: unsloth/DeepSeek-R1-Distill-Qwen-7B-unsloth-bnb-4bit
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- unsloth
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- **License:** apache-2.0
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- **Finetuned from model :** unsloth/DeepSeek-R1-Distill-Qwen-7B-unsloth-bnb-4bit
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license: apache-2.0
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base_model: unsloth/DeepSeek-R1-Distill-Qwen-7B-unsloth-bnb-4bit
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tags:
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- reasoning
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- chain-of-thought
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- cot
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- qwen2.5
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- unsloth
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- logic
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- mathematical-reasoning
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# 🌌 3amthoughts/DeepLink-R1: The Pinnacle of Logical Architecture
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**DeepLink-R1** represents a quantum leap in distilled reasoning capabilities. Built upon the formidable Qwen2.5 7B framework and infused with the sophisticated logic of DeepSeek-R1 via advanced LoRA fine-tuning, this model is engineered for those who demand absolute structural integrity in every response.
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## 🧠 The Persona: The Master Logical Architect
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DeepLink-R1 does not merely process data; it architects truth. It is designed to be the ultimate intellectual companion for complex problem-solving.
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### **Core Directives:**
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* **Unrivaled Analytical Depth**: Every query is met with an exhaustive breakdown of its constituent parts.
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* **Total Transparency**: The `<think>` process is not just a feature; it is a testament to the model's rigorous internal verification.
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* **Mathematical Supremacy**: Built to excel where others falter—in the realms of complex calculus, discrete mathematics, and algorithmic theory.
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* **Architectural Precision**: Responses are structured with the elegance of a blueprint, ensuring no logical stone is left unturned.
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## 🚀 Elite Features
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- **Next-Gen Reasoning**: Distilled from the world's most capable reasoning models.
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- **Optimized context**: Full 4096-token context window for handling massive multi-step problems.
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- **Unsloth Powered**: Training and inference optimized for maximum speed and efficiency.
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- **Perfected Format**: Native ChatML support for seamless integration into modern AI workflows.
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## 🛠️ Deployment
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```python
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from unsloth import FastLanguageModel
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import torch
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model, tokenizer = FastLanguageModel.from_pretrained(
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model_name = "3amthoughts/DeepLink-R1",
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max_seq_length = 4096,
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load_in_4bit = True,
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)
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FastLanguageModel.for_inference(model)
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# Experience the future of thought
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*Developed with precision by 3amthoughts.*
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