Open-weight model · Text generation
DCore-Qwen3-4B-Budget8
by Wingchiuloong wingchiuloong/DCore-Qwen3-4B-Budget8
DCore-Qwen3-4B-Budget8 is an open-weight model for text generation from Wingchiuloong. It has 531M parameters. At 16-bit it needs about 1.3 GB of GPU memory, which fits on 1x MI300X from $1.85 an hour, at the lowest prices in the SAVRN Index.
Parameters531M
Context—
Weights—
License—
AccessOpen weights
Monthly Downloads—
Runs On
What it takes to serve DCore-Qwen3-4B-Budget8 (531M 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 | 1.1 GB | 1.3 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 8-bit | 0.5 GB | 0.6 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 4-bit | 0.3 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 22, 2026.
DCore-Qwen3-4B-Budget8 on every accelerator the SAVRN Index prices, at every precision
Model Card
Identity and Version
- Repository
- wingchiuloong/DCore-Qwen3-4B-Budget8
- Publisher
- Wingchiuloong
- Task
- Text generation
- Modality
- Text
- Library
- transformers
- Parameters
- 531M parameters
- Languages
- Not stated by the source
- Revision
- 20009913acf1434198b3300716abe4422e4039b1
- First published
- 2026-10-22
- Last updated
- 2026-10-22
License and Download
- License
- Not stated by the source
- Access
- Open weights, no gate
Download from Wingchiuloong
Released by Wingchiuloong through its official repository on Hugging Face.
Built From
- Derived from Qwen/Qwen3-4B
- Described by arXiv:2610.24993
Memory Requirements
| Precision | Weights in memory |
|---|---|
| 16-bit | 1.1 GB |
| 8-bit | 0.5 GB |
| 4-bit | 0.3 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About DCore-Qwen3-4B-Budget8
How much GPU memory does DCore-Qwen3-4B-Budget8 need?
About 1.3 GB at 16-bit and 0.3 GB at 4-bit: the weights (531M parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run DCore-Qwen3-4B-Budget8 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.
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