albedo-i524-e10 is a model from Qxyz (access requested at publisher). It has 36B parameters. At 16-bit it needs about 86.3 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 albedo-i524-e10 (36B 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 | 71.9 GB | 86.3 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x MI325X $2.00 · 1x MI355X $2.59 |
| 8-bit | 36.0 GB | 43.1 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 4-bit | 18.0 GB | 21.6 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.
albedo-i524-e10 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
- qxyz/albedo-i524-e10
- Publisher
- Qxyz
- Task
- Not stated by the source
- Modality
- Other
- Library
- Not stated by the source
- Parameters
- 36B parameters
- Languages
- Not stated by the source
- Revision
- 971dfd84a5d7c82218af8754e94dd6a1d1592724
- First published
- 2026-10-13
- Last updated
- 2026-10-13
Files and Weights
32 files, 71.9 GB in total. The weights are 22 files totalling 71.9 GB in safetensors.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| model-00001-of-00022.safetensors | Weights | 3.7 GB | — |
| model-00002-of-00022.safetensors | Weights | 3.4 GB | — |
| model-00003-of-00022.safetensors | Weights | 3.4 GB | — |
| model-00004-of-00022.safetensors | Weights | 3.4 GB | — |
| model-00005-of-00022.safetensors | Weights | 3.4 GB | — |
| model-00006-of-00022.safetensors | Weights | 3.4 GB | — |
| model-00007-of-00022.safetensors | Weights | 3.4 GB | — |
| model-00008-of-00022.safetensors | Weights | 3.4 GB | — |
| model-00009-of-00022.safetensors | Weights | 3.4 GB | — |
| model-00010-of-00022.safetensors | Weights | 3.4 GB | — |
| model-00011-of-00022.safetensors | Weights | 3.4 GB | — |
| model-00012-of-00022.safetensors | Weights | 3.4 GB | — |
| model-00013-of-00022.safetensors | Weights | 3.4 GB | — |
| model-00014-of-00022.safetensors | Weights | 3.4 GB | — |
| model-00015-of-00022.safetensors | Weights | 3.4 GB | — |
| model-00016-of-00022.safetensors | Weights | 3.4 GB | — |
| model-00017-of-00022.safetensors | Weights | 3.4 GB | — |
| model-00018-of-00022.safetensors | Weights | 3.4 GB | — |
| model-00019-of-00022.safetensors | Weights | 3.4 GB | — |
| model-00020-of-00022.safetensors | Weights | 3.4 GB | — |
| model-00021-of-00022.safetensors | Weights | 4.3 GB | — |
| model-00022-of-00022.safetensors | Weights | 35.7 MB | — |
| config.json | Configuration | 3.7 KB | — |
| generation_config.json | Configuration | 202 B | — |
| model.safetensors.index.json | Configuration | 96.3 KB | — |
| preprocessor_config.json | Configuration | 390 B | — |
| video_preprocessor_config.json | Configuration | 385 B | — |
| chat_template.jinja | Other | 7.8 KB | — |
| .gitattributes | Repository | 1.6 KB | — |
| .pulled | Repository | — | |
| tokenizer.json | Tokenizer | 12.8 MB | — |
| tokenizer_config.json | Tokenizer | 16.7 KB | — |
License and Download
- License
- Not stated by the source
- Access
- Access requested at publisher
- Download size
- 71.9 GB
Qxyz grants access through its official repository on Hugging Face.
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 71.9 GB |
| 16-bit | 71.9 GB |
| 8-bit | 36.0 GB |
| 4-bit | 18.0 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About albedo-i524-e10
How much GPU memory does albedo-i524-e10 need?
About 86.3 GB at 16-bit and 21.6 GB at 4-bit: the weights (36B parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run albedo-i524-e10 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.