pi05-base-pytorch is an open-weight model from XuJinfan. It has 3.6B parameters. At 16-bit it needs about 8.7 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 pi05-base-pytorch (3.6B 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 | 7.2 GB | 8.7 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 8-bit | 3.6 GB | 4.3 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 4-bit | 1.8 GB | 2.2 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 Sep 19, 2026.
pi05-base-pytorch 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
- XuJinfan/pi05-base-pytorch
- Publisher
- XuJinfan
- Task
- Not stated by the source
- Modality
- Other
- Library
- Not stated by the source
- Parameters
- 3.6B parameters
- Languages
- Not stated by the source
- Revision
- a6187bfcb25359f2d1cd459c3ec7f79bc7235fdd
- First published
- 2026-09-19
- Last updated
- 2026-09-19
Files and Weights
3 files, 7.2 GB in total. The weights are 1 file totalling 7.2 GB in safetensors.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| model.safetensors | Weights | 7.2 GB | 5397c1406326 |
| config.json | Configuration | 149 B | — |
| .gitattributes | Repository | 1.5 KB | — |
License and Download
- License
- Not stated by the source
- Access
- Open weights, no gate
- Download size
- 7.2 GB
Released by XuJinfan through its official repository on Hugging Face.
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 7.2 GB |
| 16-bit | 7.2 GB |
| 8-bit | 3.6 GB |
| 4-bit | 1.8 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About pi05-base-pytorch
How much GPU memory does pi05-base-pytorch need?
About 8.7 GB at 16-bit and 2.2 GB at 4-bit: the weights (3.6B parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run pi05-base-pytorch 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.