Update README.md

README.md

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 This model was converted to GGUF format from [`deepseek-ai/DeepSeek-R1-Distill-Qwen-14B`](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
 Refer to the [original model card](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B) for more details on the model.
 
+---
+Model details:
+-
+We introduce our first-generation reasoning models, DeepSeek-R1-Zero 
+and DeepSeek-R1. 
+DeepSeek-R1-Zero, a model trained via large-scale reinforcement learning
+ (RL) without supervised fine-tuning (SFT) as a preliminary step, 
+demonstrated remarkable performance on reasoning.
+With RL, DeepSeek-R1-Zero naturally emerged with numerous powerful and 
+interesting reasoning behaviors.
+However, DeepSeek-R1-Zero encounters challenges such as endless 
+repetition, poor readability, and language mixing. To address these 
+issues and further enhance reasoning performance,
+we introduce DeepSeek-R1, which incorporates cold-start data before RL.
+DeepSeek-R1 achieves performance comparable to OpenAI-o1 across math, 
+code, and reasoning tasks. 
+To support the research community, we have open-sourced 
+DeepSeek-R1-Zero, DeepSeek-R1, and six dense models distilled from 
+DeepSeek-R1 based on Llama and Qwen. DeepSeek-R1-Distill-Qwen-32B 
+outperforms OpenAI-o1-mini across various benchmarks, achieving new 
+state-of-the-art results for dense models.
+
+NOTE: Before running DeepSeek-R1 series models locally, we kindly recommend reviewing the Usage Recommendation section.
+
+---
 ## Use with llama.cpp
 Install llama.cpp through brew (works on Mac and Linux)