Open-weight model
opd_olmo3_7b_think_olmo3_32b_think_ot3math-step20
by Minhyuk Seo mhseo2/opd_olmo3_7b_think_olmo3_32b_think_ot3math-step20
opd_olmo3_7b_think_olmo3_32b_think_ot3math-step20 is an open-weight model from Minhyuk Seo. It has 7.3B parameters. At 16-bit it needs about 17.5 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 opd_olmo3_7b_think_olmo3_32b_think_ot3math-step20 (7.3B 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 | 14.6 GB | 17.5 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 8-bit | 7.3 GB | 8.8 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 4-bit | 3.6 GB | 4.4 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 19, 2026.
Model Card
Identity and Version
- Repository
- mhseo2/opd_olmo3_7b_think_olmo3_32b_think_ot3math-step20
- Publisher
- Minhyuk Seo
- Task
- Not stated by the source
- Modality
- Other
- Library
- Not stated by the source
- Parameters
- 7.3B parameters
- Languages
- Not stated by the source
- Revision
- 94d19513f34d9a26361d57205a330227526ff057
- First published
- 2026-10-19
- Last updated
- 2026-10-19
License and Download
- License
- Not stated by the source
- Access
- Open weights, no gate
Released by Minhyuk Seo through its official repository on Hugging Face.
Memory Requirements
| Precision | Weights in memory |
|---|---|
| 16-bit | 14.6 GB |
| 8-bit | 7.3 GB |
| 4-bit | 3.6 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About opd_olmo3_7b_think_olmo3_32b_think_ot3math-step20
How much GPU memory does opd_olmo3_7b_think_olmo3_32b_think_ot3math-step20 need?
About 17.5 GB at 16-bit and 4.4 GB at 4-bit: the weights (7.3B parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run opd_olmo3_7b_think_olmo3_32b_think_ot3math-step20 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.