Runs On
What it takes to serve WW (346,177 parameters): the memory its weights need at each precision, and the cheapest way to rent enough data-center GPUs to hold them.
| Precision | Weights | Memory needed | Cheapest setup | Per hour | Also fits |
|---|---|---|---|---|---|
| 16-bit | 0.0 GB | 0.0 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 8-bit | 0.0 GB | 0.0 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 4-bit | 0.0 GB | 0.0 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
Memory is the weights at that precision plus 20% for the runtime and a short context; a long context needs more. Prices are the lowest on-demand hourly rates in the SAVRN Index, read Sep 18, 2026.
Model Card
The publisher has not written a card for this model.
Identity and Version
- Repository
- AlazarM/WW
- Publisher
- Alazar Manakelew
- Task
- Not stated by the source
- Modality
- Other
- Library
- Not stated by the source
- Parameters
- 346,177 parameters
- Languages
- Not stated by the source
- Revision
- bb46126532824774563bb21b5077f8b67dee3a1f
- First published
- 2026-09-18
- Last updated
- 2026-09-18
Files and Weights
6 files, 1.4 MB in total. The weights are 1 file totalling 1.4 MB in safetensors.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| model.safetensors | Weights | 1.4 MB | 609ea84caf11 |
| config.yaml | Configuration | 980 B | — |
| final_eval.json | Configuration | 3.4 KB | — |
| model.json | Configuration | 1.0 KB | — |
| README.md | Documentation | — | |
| .gitattributes | Repository | 1.5 KB | — |
License and Download
- License
- Not stated by the source
- Access
- Open weights, no gate
- Download size
- 1.4 MB
Released by Alazar Manakelew through its official repository on Hugging Face.
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 1.4 MB |
| 16-bit | 0.0 GB |
| 8-bit | 0.0 GB |
| 4-bit | 0.0 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About WW
How much GPU memory does WW need?
About 0 GB at 16-bit and 0 GB at 4-bit: the weights (346,177 parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run WW on?
At 16-bit, 1x MI300X from $1.85 an hour; at 4-bit, 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.