Artemis-31B-v1.2-eagle3 is an open-weight model from David Gibbons. It has 2.2B parameters. At 16-bit it needs about 5.4 GB of GPU memory, which fits on 1x MI300X from $1.85 an hour, at the lowest prices in the SAVRN Index.
Runs On
What it takes to serve Artemis-31B-v1.2-eagle3 (2.2B 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 | 4.5 GB | 5.4 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 8-bit | 2.2 GB | 2.7 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 4-bit | 1.1 GB | 1.3 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 Oct 18, 2026.
Artemis-31B-v1.2-eagle3 on every accelerator the SAVRN Index prices, at every precision
Model Card
The publisher has not written a card for this model.
Configuration
- Architecture
- Eagle3DraftModel
Identity and Version
- Repository
- dgibbons/Artemis-31B-v1.2-eagle3
- Publisher
- David Gibbons
- Task
- Not stated by the source
- Modality
- Other
- Library
- Not stated by the source
- Parameters
- 2.2B parameters
- Languages
- Not stated by the source
- Revision
- 361da9883981520f945abf563e8aa70f3247c6bb
- First published
- 2026-10-03
- Last updated
- 2026-10-03
Files and Weights
7 files, 4.5 GB in total. The weights are 1 file totalling 4.5 GB in safetensors.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| model.safetensors | Weights | 4.5 GB | 277238a1b26f |
| config.json | Configuration | 1.8 KB | — |
| config.py | Configuration | 4.1 KB | — |
| run.json | Configuration | 147 B | — |
| training_state.json | Configuration | 50 B | — |
| train_command.txt | Other | 574 B | — |
| .gitattributes | Repository | 1.5 KB | — |
License and Download
- License
- Not stated by the source
- Access
- Open weights, no gate
- Download size
- 4.5 GB
Released by David Gibbons through its official repository on Hugging Face.
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 4.5 GB |
| 16-bit | 4.5 GB |
| 8-bit | 2.2 GB |
| 4-bit | 1.1 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About Artemis-31B-v1.2-eagle3
How much GPU memory does Artemis-31B-v1.2-eagle3 need?
About 5.4 GB at 16-bit and 1.3 GB at 4-bit: the weights (2.2B parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run Artemis-31B-v1.2-eagle3 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.