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