gemma-4-E2B-it-dspark-v2 is an open-weight model from Yosef Worku Alemneh. It has 262M parameters. At 16-bit it needs about 0.6 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 gemma-4-E2B-it-dspark-v2 (262M 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 | 0.5 GB | 0.6 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 8-bit | 0.3 GB | 0.3 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 4-bit | 0.1 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 20, 2026.
gemma-4-E2B-it-dspark-v2 on every accelerator the SAVRN Index prices, at every precision
Model Card
The publisher has not written a card for this model.
Configuration
- Architecture
- DSparkDraftModel
Identity and Version
- Repository
- rasyosef/gemma-4-E2B-it-dspark-v2
- Publisher
- Yosef Worku Alemneh
- Task
- Not stated by the source
- Modality
- Other
- Library
- Not stated by the source
- Parameters
- 262M parameters
- Languages
- Not stated by the source
- Revision
- 11de5e15553314daf4ec20a667097b14f2029c5a
- First published
- 2026-10-11
- Last updated
- 2026-10-12
Files and Weights
9 files, 1.1 GB in total. The weights are 3 files totalling 1.1 GB in pt, safetensors.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| model.safetensors | Weights | 524.7 MB | 4ad9612408dd |
| optimizer_state_dict.pt | Weights | 576.6 MB | ef4a5f2f4824 |
| scheduler_state_dict.pt | Weights | 1.6 KB | f86476155971 |
| config.json | Configuration | 2.0 KB | — |
| config.py | Configuration | 2.3 KB | — |
| training_state.json | Configuration | 51 B | — |
| val_metrics.json | Configuration | 812 B | — |
| train_command.txt | Other | 761 B | — |
| .gitattributes | Repository | 1.5 KB | — |
License and Download
- License
- Not stated by the source
- Access
- Open weights, no gate
- Download size
- 1.1 GB
Released by Yosef Worku Alemneh through its official repository on Hugging Face.
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 1.1 GB |
| 16-bit | 0.5 GB |
| 8-bit | 0.3 GB |
| 4-bit | 0.1 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About gemma-4-E2B-it-dspark-v2
How much GPU memory does gemma-4-E2B-it-dspark-v2 need?
About 0.6 GB at 16-bit and 0.2 GB at 4-bit: the weights (262M parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run gemma-4-E2B-it-dspark-v2 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.