Mammoth-1
Intro
**Mammoth-1** is a recently tracked product, model, or tool in public channels. The radar excerpt reads: > Base Labs (Baseten's research lab) released mammoth-1 (27B) open-weight decision model (Oct 21 ~17:14Z), #1 of 208 on Jev Decision Index v0.4 (71.24); returns a probability per answer instead of text. MIT license, Qwen3.5 fine-tune, free on Baseten API and Vercel AI Gateway until Oct 27. @baselabs post 400 likes / 40k views; @baseten 240 likes. The recorded source label is `X (search_posts_all + search_news) + Hugging Face`. Use the public URL below to verify the original post or page.
Explain
Based only on the excerpt, **Mammoth-1** should be understood from the facts stated there. This write-up does not invent funding amounts, model sizes, or leaderboard scores that are absent from the excerpt or URL metadata. Confirmable points from the excerpt: - Base Labs (Baseten's research lab) released mammoth-1 (27B) open-weight decision model (Oct 21 ~17:14Z), #1 of 208 on Jev Decision Index v0.4 (71.24); returns a probability per answer instead of text. - MIT license, Qwen3.5 fine-tune, free on Baseten API and Vercel AI Gateway until Oct 27. - @baselabs post 400 likes / 40k views; @baseten 240 likes. The radar `score` for this entry is `0.9` (an internal ranking field, not a third-party benchmark score).
Usage
To learn more or try **Mammoth-1**, start from public sources: 1. Open the source link: <https://huggingface.co/baselabs/mammoth-1> and check the official description and availability. 2. Follow any access path mentioned in the excerpt (API, open weights, waitlist, in-product entry) using official instructions. 3. Before production use, verify license terms, regional availability, and safety limits yourself; do not assume quotas, prices, or eval scores that the excerpt does not state.