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| title: README | |
| emoji: 🎯 | |
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| sdk: static | |
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| # TurinTech models | |
| TurinTech models, built with Artemis. GGUF versions of open models, with downloadable files, measured comparisons and runtime instructions on each model card. | |
| ## Download decision models | |
| [Compressed decision models](https://huggingface.co/collections/turintech/compressed-decision-models-6accea74eb7016a886f25fdb): Clef, Kev, Perplexity Decider, d3 and Liquid AI's d1. For structured decisions and answer probabilities, follow each card's tested `/v1/systemone` endpoint and settings. | |
| ## Download compressed chat models | |
| [Compressed LLMs](https://huggingface.co/collections/turintech/compressed-llms-6acd251457ba2b9f33ad9d8a): Qwen3.5, Gemma 4, GLM-5.2, Nemotron 3.5 Bolt and [DeepSeek V4.1 Flash-1017](https://huggingface.co/turintech/DeepSeek-V4.1-Flash-1017-Artemis-GGUF). Browse the collection for published sizes and variants, with measured trade-offs on each card. | |
| ## Download embedding models | |
| [Embedding models](https://huggingface.co/collections/turintech/embedding-models-6ad248df028516822454342a): [EmbeddingGemma 2](https://huggingface.co/turintech/embeddinggemma-2-Artemis-GGUF) text embeddings with measured size and retrieval trade-offs. Follow the card’s tested CPU runtime and embedding API instructions. | |
| ## Ollama | |
| Available native packages are listed on [Ollama](https://ollama.com/turintech). Follow the model card for supported runtimes, recommended tags and run commands. | |
| ## Artemis | |
| 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 [turintech.ai](https://www.turintech.ai), or [book a demo](https://www.turintech.ai/book-a-demo). | |
| Questions, problems or a request for the next model to shrink? Reply in our [feedback thread](https://huggingface.co/spaces/turintech/README/discussions/1). More of our open-source work is at [turintech.ai/open-source](https://www.turintech.ai/open-source). | |
| These are independent TurinTech releases, not affiliated with or endorsed by the original model authors. Each card links to its sources, credits and licence. | |