Open-weight model
roberta-large-relation-ARIES-model
by Dayana Agudo dayagd/roberta-large-relation-ARIES-model
roberta-large-relation-ARIES-model is an open-weight model from Dayana Agudo. It has 355M parameters and a 514-token context. At 16-bit it needs about 0.9 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 roberta-large-relation-ARIES-model (355M 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 | 0.7 GB | 0.9 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 8-bit | 0.4 GB | 0.4 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 4-bit | 0.2 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 18, 2026.
roberta-large-relation-ARIES-model on every accelerator the SAVRN Index prices, at every precision
Model Card
The publisher has not written a card for this model.
Configuration
- Architecture
- RobertaForSequenceClassification
- Context length (tokens)
- 514
- Layers
- 24
- Hidden size
- 1,024
- Feed-forward size
- 4,096
- Attention heads
- 16
- Vocabulary size
- 50,265
- Stored precision
- float32
- Model type
- roberta
Identity and Version
- Repository
- dayagd/roberta-large-relation-ARIES-model
- Publisher
- Dayana Agudo
- Task
- Not stated by the source
- Modality
- Other
- Library
- Not stated by the source
- Parameters
- 355M parameters
- Languages
- Not stated by the source
- Revision
- 7ca764638838cc0bcdff13c443023a6fd4122b43
- First published
- 2026-09-25
- Last updated
- 2026-09-25
Files and Weights
9 files, 1.4 GB in total. The weights are 2 files totalling 1.4 GB in bin, safetensors.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| model.safetensors | Weights | 1.4 GB | e4ff19add579 |
| training_args.bin | Weights | 5.3 KB | 88adef004e9c |
| config.json | Configuration | 897 B | — |
| special_tokens_map.json | Configuration | 280 B | — |
| .gitattributes | Repository | 1.5 KB | — |
| merges.txt | Tokenizer | 456.3 KB | — |
| tokenizer.json | Tokenizer | 3.6 MB | — |
| tokenizer_config.json | Tokenizer | 1.2 KB | — |
| vocab.json | Tokenizer | 798.3 KB | — |
License and Download
- License
- Not stated by the source
- Access
- Open weights, no gate
- Download size
- 1.4 GB
Released by Dayana Agudo through its official repository on Hugging Face.
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 1.4 GB |
| 16-bit | 0.7 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 roberta-large-relation-ARIES-model
How much GPU memory does roberta-large-relation-ARIES-model need?
About 0.9 GB at 16-bit and 0.2 GB at 4-bit: the weights (355M parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run roberta-large-relation-ARIES-model 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 roberta-large-relation-ARIES-model's context length?
514 tokens, from the maximum position embeddings in its published configuration.