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  "markdown": "Co-founder and CEO, Hugging Face.\n\nClément Delangue co-founded Hugging Face in New York in 2016 with Julien Chaumond and Thomas Wolf and is its chief executive. The company began with a chatbot app, then turned to a platform for sharing machine learning models and datasets and to open-source libraries such as Transformers.\n\n- LinkedIn: https://www.linkedin.com/in/clementdelangue\n- X: https://x.com/clementdelangue\n- GitHub: https://github.com/clmnt\n\n## What Clément builds\n\n- [Carbon-X](https://www.anchorterminal.com/tools/carbon-x.md), graded C, 61/100, in Open-weight models. Carbon-X is Hugging Face's open-weight 14.8B language model for DNA, a fine-tune of Qwen3-14B that reads raw DNA in a chat and answers in English about variant effects and regulatory regions, with a 40,960-token context, under Apache 2.0. Co-founder and CEO, Hugging Face, researched 2026-10-27.\n- [Hugging Face Inference Endpoints](https://www.anchorterminal.com/tools/hugging-face-inference-endpoints.md), graded B, 64.7/100, in GPU \u0026 serverless compute. Managed Hugging Face service that deploys a Hub model as a dedicated, autoscaling HTTPS endpoint on AWS, Azure or Google Cloud, using vLLM, TGI, SGLang, llama.cpp, TEI or a custom container. Managed by REST API, Python client, CLI or MCP. Co-founder and CEO, Hugging Face, researched 2026-10-27.\n- [SmolLM3-3B](https://www.anchorterminal.com/tools/smollm3-3b.md), graded C, 61/100, in Open-weight models. SmolLM3-3B is Hugging Face's open-weight dense 3B instruct model with switchable reasoning, tool calling and a 65,536-token native context, published in BF16 safetensors under Apache 2.0 with its training data and recipes. Co-founder and CEO, Hugging Face, researched 2026-10-27.\n\n## Works with\n\n- [Julien Chaumond](https://www.anchorterminal.com/people/julien-chaumond/), Co-founder and CTO, Hugging Face\n- [Thomas Wolf](https://www.anchorterminal.com/people/thomas-wolf/), Co-founder and CSO, Hugging Face\n\n## Backed by\n\n- [Lux Capital](https://www.anchorterminal.com/investors/lux-capital/)\n- [Sequoia Capital](https://www.anchorterminal.com/investors/sequoia-capital/)\n- [Coatue](https://www.anchorterminal.com/investors/coatue/)\n- [Addition](https://www.anchorterminal.com/investors/addition/)\n- [a_capital](https://www.anchorterminal.com/investors/a-capital/)\n- [SV Angel](https://www.anchorterminal.com/investors/sv-angel/)\n- [Betaworks](https://www.anchorterminal.com/investors/betaworks/)\n- [AIX Ventures](https://www.anchorterminal.com/investors/aix-ventures/)\n- [Kevin Durant](https://www.anchorterminal.com/investors/kevin-durant/)\n- [Rich Kleiman](https://www.anchorterminal.com/investors/rich-kleiman/)\n- [Olivier Pomel](https://www.anchorterminal.com/investors/olivier-pomel/)\n\n## Questions\n\n### Who is Clément Delangue?\n\nClément Delangue co-founded Hugging Face in New York in 2016 with Julien Chaumond and Thomas Wolf and is its chief executive. The company began with a chatbot app, then turned to a platform for sharing machine learning models and datasets and to open-source libraries such as Transformers.\n\n### What does Hugging Face (with Zhongguancun Academy and the Telethon Institute of Genetics and Medicine), Hugging Face, Inc., Hugging Face make?\n\nAnchor Terminal lists Carbon-X, Hugging Face Inference Endpoints and SmolLM3-3B from Hugging Face (with Zhongguancun Academy and the Telethon Institute of Genetics and Medicine), Hugging Face, Inc., Hugging Face. Carbon-X is Hugging Face's open-weight 14.8B language model for DNA, a fine-tune of Qwen3-14B that reads raw DNA in a chat and answers in English about variant effects and regulatory regions, with a 40,960-token context, under Apache 2.0.\n\n### Who has invested in Hugging Face (with Zhongguancun Academy and the Telethon Institute of Genetics and Medicine), Hugging Face, Inc., Hugging Face?\n\nThe sources our research read name Lux Capital, Sequoia Capital, Coatue, Addition, a_capital, SV Angel, Betaworks, AIX Ventures, Kevin Durant, Rich Kleiman and Olivier Pomel.\n\n### How are Clément's tools graded?\n\nCarbon-X is graded C, 61 out of 100; Hugging Face Inference Endpoints is graded B, 64.7 out of 100; SmolLM3-3B is graded C, 61 out of 100, on Anchor Terminal's benchmark, which scores every listing against the same checklist.\n\n## Sources\n\n- https://huggingface.co/HuggingFaceBio/Carbon-X\n- https://huggingface.co/HuggingFaceBio\n- https://en.wikipedia.org/wiki/Hugging_Face\n- https://huggingface.co/clem\n- https://huggingface.co/julien-c\n- https://huggingface.co/thomwolf\n- https://huggingface.co/\n- https://huggingface.co/docs/inference-endpoints/index\n- https://huggingface.co/docs/inference-endpoints/support/faq\n- https://huggingface.co/HuggingFaceTB/SmolLM3-3B\n\nThese are the people building the tools we list, named for their public role in the company or project behind a listing, from public pages, with the date it was researched. They don't work for Anchor Terminal (our own team is on the about page, /about/#author). We show public roles, public profiles and what the listing pages show, nothing private. To correct something, send an about or a photo, or have a page removed, write to privacy@anchorterminal.com.\n",
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