Mammoth-1

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.

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).

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.