---
title: baselabs/mammoth-1
url: https://recentmodel.com/models/baselabs/mammoth-1/
status: archived
published: 2026-10-19T19:35:12Z
updated: 2026-10-24T11:24:09Z
source: https://huggingface.co/baselabs/mammoth-1
---

# baselabs/mammoth-1

mammoth-1 is a 27B parameter decision model post-trained from Qwen3.5-27B by Base Labs at Baseten. Dense, 27B params. Context: 256K tokens (config). License: mit.


- **Org:** baselabs
- **Released:** 2026-10-19
- **Status:** archived
- **License:** mit (permissive)
- **Parameters:** 27.4B
- **Architecture:** dense · Qwen3_5ForConditionalGeneration
- **Context:** 262,144 tokens
- **Task:** text-classification · text
- **Signal:** 51 HF likes · 300 downloads
- **Archived:** 2026-10-21 (no longer listed by the collector; stats as last seen)

## Runs on

real quant files; sizing calculation, not tested.

- Q4 ~19.6 GB: 24GB GPU (3090 / 4090), 32GB GPU (5090), 24GB GPU (7900 XTX), Mac 36GB, CPU only, 32GB RAM (slow)
- Q8 ~32.3 GB: 48GB GPU (RTX 6000 Ada / A6000), Mac 48GB, Mac 64GB (M1 Max), CPU only, 64GB RAM (slow)
- FP16 ~57.8 GB: 96GB GPU (RTX Pro 6000 Blackwell), 1× DGX Spark (128GB), 2× DGX Spark (256GB), Strix Halo 128GB unified (~96GB usable), Mac 96GB, Mac 128GB, Mac 192GB, Mac 256GB, Mac 512GB, CPU only, 128GB RAM (slow), CPU only, 256GB RAM (slow)

## Links

- [Hugging Face](https://huggingface.co/baselabs/mammoth-1)