crime-laya-5000 is an open-weight model from Leo Loss. It has 421M parameters. At 16-bit it needs about 1 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 crime-laya-5000 (421M 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 | 0.8 GB | 1.0 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 8-bit | 0.4 GB | 0.5 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 4-bit | 0.2 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 19, 2026.
crime-laya-5000 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
- leloss/crime-laya-5000
- Publisher
- Leo Loss
- Task
- Not stated by the source
- Modality
- Other
- Library
- Not stated by the source
- Parameters
- 421M parameters
- Languages
- Not stated by the source
- Revision
- 3484c4e2c4f6134289d4eff2e53fccb666060e39
- First published
- 2026-09-26
- Last updated
- 2026-09-27
Files and Weights
9 files, 846.2 MB in total. The weights are 1 file totalling 842.6 MB in safetensors.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| model.safetensors | Weights | 842.6 MB | 99536fdec6a1 |
| data_manifest.json | Configuration | 1.2 KB | — |
| encoder/config.json | Configuration | 2.1 KB | — |
| rl_agent_config.json | Configuration | 534 B | — |
| tokenizer/special_tokens_map.json | Configuration | 694 B | — |
| training_report.json | Configuration | 1.5 KB | — |
| .gitattributes | Repository | 1.5 KB | — |
| tokenizer/tokenizer.json | Tokenizer | 3.6 MB | — |
| tokenizer/tokenizer_config.json | Tokenizer | 20.8 KB | — |
License and Download
- License
- Not stated by the source
- Access
- Open weights, no gate
- Download size
- 842.6 MB
Released by Leo Loss through its official repository on Hugging Face.
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 842.6 MB |
| 16-bit | 0.8 GB |
| 8-bit | 0.4 GB |
| 4-bit | 0.2 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About crime-laya-5000
How much GPU memory does crime-laya-5000 need?
About 1 GB at 16-bit and 0.3 GB at 4-bit: the weights (421M parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run crime-laya-5000 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.