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| <h1 style="font-size:18px;font-weight:700;margin:0 0 6px 0"><strong>TurinTech models</strong></h1> | |
| <p style="margin:0 0 8px 0">TurinTech models, built with Artemis. GGUF versions of open models, with downloadable files, measured comparisons and runtime instructions on each model card.</p> | |
| <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, 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> | |
| <p style="margin:0 0 8px 0">Available native packages are listed on <a href="https://ollama.com/turintech" target="_blank" style="color:#2563eb;text-decoration:underline">Ollama</a>. Follow the model card for supported runtimes, recommended tags and run commands.</p> | |
| <h2 style="font-size:16px;font-weight:600;margin:16px 0 4px 0"><strong>Artemis</strong></h2> | |
| <p style="margin:0 0 8px 0">Built with Artemis, TurinTech's optimisation platform. Teams can use Artemis to make their own models smaller and faster, or to optimise their code. More at <a href="https://www.turintech.ai" target="_blank" style="color:#2563eb;text-decoration:underline">turintech.ai</a>, or <a href="https://www.turintech.ai/book-a-demo" target="_blank" style="color:#2563eb;text-decoration:underline">book a demo</a>.</p> | |
| <p style="margin:0 0 8px 0">Questions, problems or a request for the next model to shrink? Reply in our <a href="https://huggingface.co/spaces/turintech/README/discussions/1" target="_blank" style="color:#2563eb;text-decoration:underline">feedback thread</a>. More of our open-source work is at <a href="https://www.turintech.ai/open-source" target="_blank" style="color:#2563eb;text-decoration:underline">turintech.ai/open-source</a>.</p> | |
| <p style="margin:0 0 8px 0;font-size:13px;color:#6b7280">These are independent TurinTech releases, not affiliated with or endorsed by the original model authors. Each card links to its sources, credits and licence.</p> | |
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