Update README.md

README.md

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 # Reka Flash 3.1
-Reka Flash 3.1 is an update to our Reka Flash 3. It is particularly strong on coding and as a base model to be finetuned on agentic tasks. Reka Flash 3.1 was post trained with synthetic and public datasets for supervised finetuning, followed by large-scale reinforcement learning (RLOO) with verifiable rewards. 
-It improves by 10 points on LiveCodeBench v5 (Full set) from Reka Flash 3 due to significant advances in our reinforcement learning stack. For coding related tasks, Reka Flash 3.1 is competitive with models such as Qwen3-32B. o3-mini, and Gemini 2.5 Flash Thinking. 
-If you want to learn more about how we do reinforcement learning for Reka Flash 3.1 that results in these improvements, please check out this post.
+Reka Flash 3.1 is an update to our Reka Flash 3. It is particularly strong on coding and as a base model to be finetuned on agentic tasks. 
+
+Reka Flash 3.1 was post trained with synthetic and public datasets for supervised finetuning, followed by large-scale reinforcement learning (RLOO) with verifiable rewards. It improves by 10 points on LiveCodeBench v5 (Full set) from Reka Flash 3 due to significant advances in our reinforcement learning stack. For coding related tasks, Reka Flash 3.1 is competitive with models such as Qwen3-32B. o3-mini, and Gemini 2.5 Flash Thinking. 
+If you want to learn more about how we do RL for Reka Flash 3.1 that results in these improvements, please check out this post.
 
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/65a776598ee30c06716aa380/e5SsUG4vTgslFtcJxM9DT.png)
 
-Try it out at our playground (https://app.reka.ai).
+Try it out at our ![playground](https://app.reka.ai).
 
-We also release a 3.5 bit quantized version of Reka Flash 3.1 and our quantizatioon library to better support local deployment.
+We also release a ![3.5 bit quantized version](https://huggingface.co/RekaAI/reka-flash-3.1-rekaquant-q3_k_s) of Reka Flash 3.1 and ![our quantization library](https://github.com/reka-ai/rekaquant) to better support local deployment.
 
 
 ## Quickstart