Organisation card: Nemotron 3.5 Bolt in Compressed LLMs

README.md

@@ -17,7 +17,7 @@ TurinTech models, built with Artemis. GGUF versions of open models, with downloa
 
 ## Download compressed chat models
 
-[Compressed LLMs](https://huggingface.co/collections/turintech/compressed-llms-6acd251457ba2b9f33ad9d8a): Qwen3.5, Gemma 4 and GLM-5.2. Browse the collection for published sizes and variants, with measured trade-offs on each card.
+[Compressed LLMs](https://huggingface.co/collections/turintech/compressed-llms-6acd251457ba2b9f33ad9d8a): Qwen3.5, Gemma 4, GLM-5.2 and Nemotron 3.5 Bolt. Browse the collection for published sizes and variants, with measured trade-offs on each card.
 
 ## Download embedding models
 

index.html

@@ -13,7 +13,7 @@
 			<h2 style="font-size:16px;font-weight:600;margin:16px 0 4px 0"><strong>Download decision models</strong></h2>
 			<p style="margin:0 0 8px 0"><a href="https://huggingface.co/collections/turintech/compressed-decision-models-6accea74eb7016a886f25fdb" target="_blank" style="color:#2563eb;text-decoration:underline">Compressed decision models</a>: Clef, Kev, Perplexity Decider, d3 and Liquid AI's d1. For structured decisions and answer probabilities, follow each card's tested <code>/v1/systemone</code> endpoint and settings.</p>
 			<h2 style="font-size:16px;font-weight:600;margin:16px 0 4px 0"><strong>Download compressed chat models</strong></h2>
-			<p style="margin:0 0 8px 0"><a href="https://huggingface.co/collections/turintech/compressed-llms-6acd251457ba2b9f33ad9d8a" target="_blank" style="color:#2563eb;text-decoration:underline">Compressed LLMs</a>: Qwen3.5, Gemma 4 and GLM-5.2. Browse the collection for published sizes and variants, with measured trade-offs on each card.</p>
+			<p style="margin:0 0 8px 0"><a href="https://huggingface.co/collections/turintech/compressed-llms-6acd251457ba2b9f33ad9d8a" target="_blank" style="color:#2563eb;text-decoration:underline">Compressed LLMs</a>: Qwen3.5, Gemma 4, GLM-5.2 and Nemotron 3.5 Bolt. Browse the collection for published sizes and variants, with measured trade-offs on each card.</p>
 			<h2 style="font-size:16px;font-weight:600;margin:16px 0 4px 0"><strong>Download embedding models</strong></h2>
 			<p style="margin:0 0 8px 0"><a href="https://huggingface.co/collections/turintech/embedding-models-6ad248df028516822454342a" target="_blank" style="color:#2563eb;text-decoration:underline">Embedding models</a>: <a href="https://huggingface.co/turintech/embeddinggemma-2-Artemis-GGUF" target="_blank" style="color:#2563eb;text-decoration:underline">EmbeddingGemma 2</a> text embeddings with measured size and retrieval trade-offs. Follow the card’s tested CPU runtime and embedding API instructions.</p>
 			<h2 style="font-size:16px;font-weight:600;margin:16px 0 4px 0"><strong>Ollama</strong></h2>