Open-weight model
xlnet-large-cased-tass-finetuned-2026
by Christian Rosero MayorChris/xlnet-large-cased-tass-finetuned-2026
xlnet-large-cased-tass-finetuned-2026 is an open-weight model from Christian Rosero. It has 361M parameters. At 16-bit it needs about 0.9 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 xlnet-large-cased-tass-finetuned-2026 (361M 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 | 0.7 GB | 0.9 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 8-bit | 0.4 GB | 0.4 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 4-bit | 0.2 GB | 0.2 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 23, 2026.
Model Card
Identity and Version
- Repository
- MayorChris/xlnet-large-cased-tass-finetuned-2026
- Publisher
- Christian Rosero
- Task
- Not stated by the source
- Modality
- Other
- Library
- Not stated by the source
- Parameters
- 361M parameters
- Languages
- Not stated by the source
- Revision
- d432c7381ae329a08f425d4deea53cd33e095c96
- First published
- 2026-10-23
- Last updated
- 2026-10-23
License and Download
- License
- Not stated by the source
- Access
- Open weights, no gate
Released by Christian Rosero through its official repository on Hugging Face.
Memory Requirements
| Precision | Weights in memory |
|---|---|
| 16-bit | 0.7 GB |
| 8-bit | 0.4 GB |
| 4-bit | 0.2 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About xlnet-large-cased-tass-finetuned-2026
How much GPU memory does xlnet-large-cased-tass-finetuned-2026 need?
About 0.9 GB at 16-bit and 0.2 GB at 4-bit: the weights (361M parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run xlnet-large-cased-tass-finetuned-2026 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.