KUTE-300M is an open-weight model from Labs. It has 337M parameters. At 16-bit it needs about 0.8 GB of GPU memory, which fits on 1x MI300X from $1.85 an hour, at the lowest prices in the SAVRN Index. It draws 509 downloads a month.
Runs On
What it takes to serve KUTE-300M (337M 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 | 0.8 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 8-bit | 0.3 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 18, 2026.
KUTE-300M on every accelerator the SAVRN Index prices, at every precision
Model Card
The publisher has not written a card for this model.
Configuration
- Architecture
- GPT2LMHeadModel
- Vocabulary size
- 32,000
- Model type
- gpt2
Identity and Version
- Repository
- Axon-A1/KUTE-300M
- Publisher
- Labs
- Task
- Not stated by the source
- Modality
- Other
- Library
- Not stated by the source
- Parameters
- 337M parameters
- Languages
- Not stated by the source
- Revision
- dae133ae5f337ef6088e16da84d8b46e3f21aed0
- First published
- 2026-09-22
- Last updated
- 2026-09-30
Files and Weights
6 files, 2.1 GB in total. The weights are 3 files totalling 2.1 GB in bin, pt, safetensors.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| latest/model.pt | Weights | 736.8 MB | 55ab033a161f |
| model.safetensors | Weights | 1.3 GB | 74a0b7d17056 |
| training_args.bin | Weights | 5.2 KB | 935977b2f9d1 |
| config.json | Configuration | 842 B | — |
| generation_config.json | Configuration | 195 B | — |
| .gitattributes | Repository | 1.5 KB | — |
License and Download
- License
- Not stated by the source
- Access
- Open weights, no gate
- Download size
- 2.1 GB
Released by Labs through its official repository on Hugging Face.
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 2.1 GB |
| 16-bit | 0.7 GB |
| 8-bit | 0.3 GB |
| 4-bit | 0.2 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About KUTE-300M
How much GPU memory does KUTE-300M need?
About 0.8 GB at 16-bit and 0.2 GB at 4-bit: the weights (337M parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run KUTE-300M 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.