This model is a fine-tuned version of DuyTa/Cyber-F1. It has been trained using TRL. This model was trained with SFT. - PEFT 0.21.0
Open-weight model · Text generation
Keural-Nova-v1.2-experimental
by MKD Co., Ltd. mkd-dev/Keural-Nova-v1.2-experimental
Keural-Nova-v1.2-experimental is an open-weight model for text generation from MKD Co., Ltd., released under Apache License 2.0. It has 35.1B parameters. At 16-bit it needs about 84.3 GB of GPU memory, which fits on 1x MI300X from $1.85 an hour, at the lowest prices in the SAVRN Index.
Parameters35.1B
Context—
Weights—
Licenseapache-2.0
AccessOpen weights
Monthly Downloads—
Runs On
What it takes to serve Keural-Nova-v1.2-experimental (35.1B 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 | 70.2 GB | 84.3 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x MI325X $2.00 · 1x MI355X $2.59 |
| 8-bit | 35.1 GB | 42.1 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 4-bit | 17.6 GB | 21.1 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.
Keural-Nova-v1.2-experimental on every accelerator the SAVRN Index prices, at every precision
Model Card
Identity and Version
- Repository
- mkd-dev/Keural-Nova-v1.2-experimental
- Publisher
- MKD Co., Ltd.
- Task
- Text generation
- Modality
- Text
- Library
- transformers
- Parameters
- 35.1B parameters
- Languages
- ko, en
- Revision
- ad6408c7bbd5127a5bc25626c65fd4ec42be077c
- First published
- 2026-10-21
- Last updated
- 2026-10-21
License and Download
- License
- apache-2.0
- Access
- Open weights, no gate
Download from MKD Co., Ltd.
Released by MKD Co., Ltd. through its official repository on Hugging Face. Read the license.
Built From
- Derived from Qwen/Qwen3.6-35B-A3B
Memory Requirements
| Precision | Weights in memory |
|---|---|
| 16-bit | 70.2 GB |
| 8-bit | 35.1 GB |
| 4-bit | 17.6 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About Keural-Nova-v1.2-experimental
How much GPU memory does Keural-Nova-v1.2-experimental need?
About 84.3 GB at 16-bit and 21.1 GB at 4-bit: the weights (35.1B parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run Keural-Nova-v1.2-experimental 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 Keural-Nova-v1.2-experimental commercially?
Yes. Keural-Nova-v1.2-experimental is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.
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