r16-H-D2-Bkds4-rst-s1000 is a model from Alfred Smith (access requested at publisher). It has 2B parameters. At 16-bit it needs about 4.8 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 r16-H-D2-Bkds4-rst-s1000 (2B 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 | 4.0 GB | 4.8 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 8-bit | 2.0 GB | 2.4 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 4-bit | 1.0 GB | 1.2 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 19, 2026.
r16-H-D2-Bkds4-rst-s1000 on every accelerator the SAVRN Index prices, at every precision
Model Card
The publisher has not written a card for this model.
Identity and Version
- Repository
- alfred8995/r16-H-D2-Bkds4-rst-s1000
- Publisher
- Alfred Smith
- Task
- Not stated by the source
- Modality
- Other
- Library
- Not stated by the source
- Parameters
- 2B parameters
- Languages
- Not stated by the source
- Revision
- 776fceb703a8a82e953594c8c5bb2305db8ab34d
- First published
- 2026-10-15
- Last updated
- 2026-10-15
Files and Weights
7 files, 4.0 GB in total. The weights are 1 file totalling 4.0 GB in safetensors.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| model.safetensors | Weights | 4.0 GB | — |
| config.json | Configuration | 1.5 KB | — |
| generation_config.json | Configuration | 176 B | — |
| step.json | Configuration | 41 B | — |
| .gitattributes | Repository | 1.5 KB | — |
| tokenizer.json | Tokenizer | 1.7 MB | — |
| tokenizer_config.json | Tokenizer | 196 B | — |
License and Download
- License
- Not stated by the source
- Access
- Access requested at publisher
- Download size
- 4.0 GB
Alfred Smith grants access through its official repository on Hugging Face.
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 4.0 GB |
| 16-bit | 4.0 GB |
| 8-bit | 2.0 GB |
| 4-bit | 1.0 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About r16-H-D2-Bkds4-rst-s1000
How much GPU memory does r16-H-D2-Bkds4-rst-s1000 need?
About 4.8 GB at 16-bit and 1.2 GB at 4-bit: the weights (2B parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run r16-H-D2-Bkds4-rst-s1000 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.