Open-weight model
dissertation-video-understanding
by Llopezmichael llopezmichael/dissertation-video-understanding
dissertation-video-understanding is an open-weight model from Llopezmichael, released under MIT License. It has 24,832 parameters. At 16-bit it needs about 0 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 dissertation-video-understanding (24,832 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 Oct 20, 2026.
dissertation-video-understanding on every accelerator the SAVRN Index prices, at every precision
Model Card
Identity and Version
- Repository
- llopezmichael/dissertation-video-understanding
- Publisher
- Llopezmichael
- Task
- Not stated by the source
- Modality
- Other
- Library
- Not stated by the source
- Parameters
- 24,832 parameters
- Languages
- Not stated by the source
- Revision
- 03b139e843ccd28c576fcc08e706d5f38796949e
- First published
- 2026-10-20
- Last updated
- 2026-10-20
License and Download
- License
- mit
- Access
- Open weights, no gate
Released by Llopezmichael through its official repository on Hugging Face. Read the license.
Memory Requirements
| Precision | Weights in memory |
|---|---|
| 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 dissertation-video-understanding
How much GPU memory does dissertation-video-understanding need?
About 0 GB at 16-bit and 0 GB at 4-bit: the weights (24,832 parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run dissertation-video-understanding 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.
Can I use dissertation-video-understanding commercially?
Yes. dissertation-video-understanding is released under MIT License. The MIT License is a short permissive license. It permits commercial use, modification and redistribution, provided the copyright notice and permission notice are included.