Update README.md

README.md

@@ -61,9 +61,9 @@ You can play and set for your needs, eg 8-snippets a 2048t, or 28-snippets a 512
 </ul>
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 here is a tokenizer calculator<br>
-<a href="https://quizgecko.com/tools/token-counter"> <br>
+<a href="https://quizgecko.com/tools/token-counter"></a><br>
 and a Vram calculator - (you need the original model link NOT the GGUF)<br>
-https://huggingface.co/spaces/NyxKrage/LLM-Model-VRAM-Calculator<br>
+<a href="https://huggingface.co/spaces/NyxKrage/LLM-Model-VRAM-Calculator"></a><br>
 
 ...
 <br>
@@ -124,7 +124,6 @@ llama3.1, llama3.2, qwen2.5, deepseek-r1-distill, gemma-3, granit, SauerkrautLM-
 granit3.2-8b (2b version also) - https://huggingface.co/ibm-research/granite-3.2-8b-instruct-GGUF<br>
 Chocolatine-2-14B (other versions also) - https://huggingface.co/mradermacher/Chocolatine-2-14B-Instruct-DPO-v2.0b11-GGUF<br>
 QwQ-LCoT- (7/14b) - https://huggingface.co/mradermacher/QwQ-LCoT-14B-Conversational-GGUF<br><br>
-QwQ-LCoT- (7/14b) - https://huggingface.co/mradermacher/QwQ-LCoT-14B-Conversational-GGUF<br>
 
 
 btw. <b>Jinja</b> templates very new ... the usual templates with usual models are fine, but merged models have a lot of optimization potential (but dont ask me iam not a coder)<br>