phobert-scam-sms-vn is an open-weight model from Do Ha Duy Phong. It has 135M parameters and a 258-token context. At 16-bit it needs about 0.3 GB of GPU memory, which fits on 1x MI300X from $1.85 an hour, at the lowest prices in the SAVRN Index. It draws 32 downloads a month.
Runs On
What it takes to serve phobert-scam-sms-vn (135M 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 | 0.3 GB | 0.3 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 8-bit | 0.1 GB | 0.2 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 4-bit | 0.1 GB | 0.1 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.
phobert-scam-sms-vn 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)
- 258
- Layers
- 12
- Hidden size
- 768
- Feed-forward size
- 3,072
- Attention heads
- 12
- Vocabulary size
- 64,009
- Model type
- roberta
Identity and Version
- Repository
- dohaduyphong/phobert-scam-sms-vn
- Publisher
- Do Ha Duy Phong
- Task
- Not stated by the source
- Modality
- Other
- Library
- Not stated by the source
- Parameters
- 135M parameters
- Languages
- Not stated by the source
- Revision
- d53d1a9bb93609233e92828ca6e2c6d48b502880
- First published
- 2026-09-30
- Last updated
- 2026-10-06
Files and Weights
9 files, 542.1 MB in total. The weights are 2 files totalling 540.1 MB in bin, safetensors.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| model.safetensors | Weights | 540.0 MB | 654366c1dcb0 |
| training_args.bin | Weights | 5.3 KB | aaf1e8443ba1 |
| added_tokens.json | Configuration | 182 B | — |
| config.json | Configuration | 822 B | — |
| label_mapping.json | Configuration | 22 B | — |
| bpe.codes | Other | 1.1 MB | — |
| .gitattributes | Repository | 1.5 KB | — |
| tokenizer_config.json | Tokenizer | 2.7 KB | — |
| vocab.txt | Tokenizer | 895.3 KB | — |
License and Download
- License
- Not stated by the source
- Access
- Open weights, no gate
- Download size
- 540.1 MB
Released by Do Ha Duy Phong through its official repository on Hugging Face.
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 540.1 MB |
| 16-bit | 0.3 GB |
| 8-bit | 0.1 GB |
| 4-bit | 0.1 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About phobert-scam-sms-vn
How much GPU memory does phobert-scam-sms-vn need?
About 0.3 GB at 16-bit and 0.1 GB at 4-bit: the weights (135M parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run phobert-scam-sms-vn 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 phobert-scam-sms-vn's context length?
258 tokens, from the maximum position embeddings in its published configuration.