Open-weight model
SabiBERTa-135M-masakhaner2-fon
by Jeffrey Paul BeardedMonster/SabiBERTa-135M-masakhaner2-fon
SabiBERTa-135M-masakhaner2-fon is an open-weight model from Jeffrey Paul. It has 136M parameters. At 16-bit it needs about 0.3 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 SabiBERTa-135M-masakhaner2-fon (136M 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 | 0.3 GB | 0.3 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 8-bit | 0.1 GB | 0.2 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 4-bit | 0.1 GB | 0.1 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 22, 2026.
SabiBERTa-135M-masakhaner2-fon on every accelerator the SAVRN Index prices, at every precision
Model Card
Identity and Version
- Repository
- BeardedMonster/SabiBERTa-135M-masakhaner2-fon
- Publisher
- Jeffrey Paul
- Task
- Not stated by the source
- Modality
- Other
- Library
- Not stated by the source
- Parameters
- 136M parameters
- Languages
- fon
- Revision
- 39bf79cd9d5f46c0fda8d16cd99194572c5518fa
- First published
- 2026-10-18
- Last updated
- 2026-10-19
License and Download
- License
- Not stated by the source
- Access
- Open weights, no gate
Released by Jeffrey Paul through its official repository on Hugging Face.
Built From
- Derived from BeardedMonster/SabiBERTa-135M
Memory Requirements
| Precision | Weights in memory |
|---|---|
| 16-bit | 0.3 GB |
| 8-bit | 0.1 GB |
| 4-bit | 0.1 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About SabiBERTa-135M-masakhaner2-fon
How much GPU memory does SabiBERTa-135M-masakhaner2-fon need?
About 0.3 GB at 16-bit and 0.1 GB at 4-bit: the weights (136M parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run SabiBERTa-135M-masakhaner2-fon 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.