Founder of a listed tool
Thomas Wolf
Named behind 3 listings on Anchor Terminal.
What Thomas builds
Carbon-X C · 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 CSO, Hugging Face, researched 27 October 2026 · the people behind it
Hugging Face Inference Endpoints B · GPU & 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 CSO, Hugging Face, researched 27 October 2026 · the people behind it
SmolLM3-3B C · 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 CSO, Hugging Face, researched 27 October 2026 · the people behind it
Works with
- Clément Delangue Co-founder and CEO, Hugging Face
- Julien Chaumond Co-founder and CTO, Hugging Face
Questions
Who is Thomas Wolf?
Thomas Wolf co-founded Hugging Face in New York in 2016 with Clément Delangue and Julien Chaumond and is its chief science officer. He is among the authors of the SmolLM3 small language model release.
What does Hugging Face (with Zhongguancun Academy and the Telethon Institute of Genetics and Medicine), Hugging Face, Inc., Hugging Face make?
Anchor 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.
How are Thomas's tools graded?
Carbon-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.
Sources (10)
- https://huggingface.co/HuggingFaceBio/Carbon-X
- https://huggingface.co/HuggingFaceBio
- https://en.wikipedia.org/wiki/Hugging_Face
- https://huggingface.co/clem
- https://huggingface.co/julien-c
- https://huggingface.co/thomwolf
- https://huggingface.co/
- https://huggingface.co/docs/inference-endpoints/index
- https://huggingface.co/docs/inference-endpoints/support/faq
- https://huggingface.co/HuggingFaceTB/SmolLM3-3B
These 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). 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.