Veloxy-Flash-15B is an open-weight model from Batuhan Coskun. It has 9.4B parameters and a 262,144-token context. At 16-bit it needs about 22.6 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 Veloxy-Flash-15B (9.4B 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 | 18.8 GB | 22.6 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 8-bit | 9.4 GB | 11.3 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 4-bit | 4.7 GB | 5.6 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.
Veloxy-Flash-15B on every accelerator the SAVRN Index prices, at every precision
Model Card
The publisher has not written a card for this model.
Configuration
- Architecture
- Qwen3_5ForConditionalGeneration
- Context length (tokens)
- 262,144
- Layers
- 32
- Hidden size
- 4,096
- Feed-forward size
- 12,288
- Attention heads
- 16
- Key/value heads
- 4
- Head dimension
- 256
- Vocabulary size
- 248,320
- Model type
- qwen3_5
Identity and Version
- Repository
- zveloxy/Veloxy-Flash-15B
- Publisher
- Batuhan Coskun
- Task
- Not stated by the source
- Modality
- Other
- Library
- Not stated by the source
- Parameters
- 9.4B parameters
- Languages
- Not stated by the source
- Revision
- bb3d4249cf1be69bd00e2b68f21362cdee2c51eb
- First published
- 2026-10-08
- Last updated
- 2026-10-08
Files and Weights
11 files, 18.8 GB in total. The weights are 4 files totalling 18.8 GB in safetensors.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| model-00001-of-00004.safetensors | Weights | 4.9 GB | 6bd06f55041b |
| model-00002-of-00004.safetensors | Weights | 5.0 GB | 601490882828 |
| model-00003-of-00004.safetensors | Weights | 5.0 GB | 66471de30a5c |
| model-00004-of-00004.safetensors | Weights | 3.9 GB | 449a6d79fe3a |
| config.json | Configuration | 2.9 KB | — |
| generation_config.json | Configuration | 116 B | — |
| model.safetensors.index.json | Configuration | 69.3 KB | — |
| chat_template.jinja | Other | 7.8 KB | — |
| .gitattributes | Repository | 1.6 KB | — |
| tokenizer.json | Tokenizer | 20.0 MB | a5cd9732badc |
| tokenizer_config.json | Tokenizer | 1.5 KB | — |
License and Download
- License
- Not stated by the source
- Access
- Open weights, no gate
- Download size
- 18.8 GB
Released by Batuhan Coskun through its official repository on Hugging Face.
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 18.8 GB |
| 16-bit | 18.8 GB |
| 8-bit | 9.4 GB |
| 4-bit | 4.7 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About Veloxy-Flash-15B
How much GPU memory does Veloxy-Flash-15B need?
About 22.6 GB at 16-bit and 5.6 GB at 4-bit: the weights (9.4B parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run Veloxy-Flash-15B 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.
What is Veloxy-Flash-15B's context length?
262,144 tokens, from the maximum position embeddings in its published configuration.