fin-laya-mlx-3-rounds is an open-weight model from Li, released under other. It has 421M parameters. At 16-bit it needs about 1 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 fin-laya-mlx-3-rounds (421M 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 | 0.8 GB | 1.0 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 8-bit | 0.4 GB | 0.5 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 4-bit | 0.2 GB | 0.3 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 20, 2026.
fin-laya-mlx-3-rounds on every accelerator the SAVRN Index prices, at every precision
Model Card
Identity and Version
- Repository
- ya9919/fin-laya-mlx-3-rounds
- Publisher
- Li
- Task
- Not stated by the source
- Modality
- Other
- Library
- Not stated by the source
- Parameters
- 421M parameters
- Languages
- en
- Revision
- 035746485480eff7aa54a5cb932a5e688c7cb0d7
- First published
- 2026-10-19
- Last updated
- 2026-10-20
License and Download
- License
- other
- Access
- Open weights, no gate
Released by Li through its official repository on Hugging Face. Read the license.
Built From
- Derived from convaiinnovations/laya
Memory Requirements
| Precision | Weights in memory |
|---|---|
| 16-bit | 0.8 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 fin-laya-mlx-3-rounds
How much GPU memory does fin-laya-mlx-3-rounds need?
About 1 GB at 16-bit and 0.3 GB at 4-bit: the weights (421M parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run fin-laya-mlx-3-rounds 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.
What license is fin-laya-mlx-3-rounds released under?
other, as its publisher declares it. Read the license text before commercial use.