Model reference · open weights

Underdog-Woof-1.1

Not for GPU servers LLMs ConwayResearch Text gen 1 build Open weights 558 dl/mo

Underdog-Woof-1.1 is an open-weight language model from ConwayResearch. Built for Apple silicon (MLX). It does not run on NVIDIA GPUs.

What it is

Released byConwayResearch
Released2026-09-12
Parameters4.2B
VRAM2.4 GB for the weights

What it runs on

Memory and cards for Underdog-Woof-4B-1.1 (BF16)

2.4 GBweights, file size
33 MBcache per 1K tokens
103 MBfixed state per request
801 MBruntime overhead, at least
262,144 tokenscontext max
CardRequests at onceContext maxMemory
8K each32K each
RTX 3060 12 GB227248K11.6 GB
RTX 4060 Ti 16 GB3210all 256K15.4 GB
RTX 3090 24 GB5417all 256K23.4 GB
RTX 4090 24 GB5417all 256K23.4 GB
RTX 5090 32 GB7423all 256K31.0 GB
L40S 48 GB10934all 256K44.0 GB
A100 80 GB20163all 256K78.2 GB
H100 80 GB18759all 256K78.1 GB
RTX PRO 6000 Blackwell 96 GB22972all 256K93.8 GB
DGX Spark (GB10) 128 GB unified26684all 256K107 GB
H200 141 GB348110all 256K138 GB
B200 180 GB450142all 256K176 GB
Memory needed at each load
Requests at once8K tokens each32K tokens each
13.5 GB4.3 GB
55.0 GB9.1 GB
86.1 GB12.6 GB
169.1 GB22.0 GB
3215.1 GB40.8 GB
6426.9 GB78.5 GB

One card, with vLLM's small-card settings.

From the model card

What ConwayResearch says about Underdog-Woof-1.1

Woof is a small but mighty Underdog model.

Quantized to 4-bit MLX.

Quoted from the model card on Hugging Face. The full card is behind the Hugging Face link above.

Running it

Where it runs

Built for Apple silicon (MLX). It does not run on NVIDIA GPUs.

© 2026 AxForge · EU-hosted AI infrastructure Pricing Docs Trust Privacy Terms