hw1-hc3-detector is an open-weight model from Adithyaa Veerabathiran Seran, released under unknown. It has 23M parameters and a 512-token context. At 16-bit it needs about 0.1 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 hw1-hc3-detector (23M 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 | 0.0 GB | 0.1 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 8-bit | 0.0 GB | 0.0 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 4-bit | 0.0 GB | 0.0 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 22, 2026.
hw1-hc3-detector on every accelerator the SAVRN Index prices, at every precision
Model Card
The publisher has not written a card for this model.
Configuration
- Architecture
- BertForSequenceClassification
- Context length (tokens)
- 512
- Layers
- 6
- Hidden size
- 384
- Feed-forward size
- 1,536
- Attention heads
- 12
- Vocabulary size
- 30,522
- Model type
- bert
Identity and Version
- Repository
- AdithyaaVS/hw1-hc3-detector
- Publisher
- Adithyaa Veerabathiran Seran
- Task
- Not stated by the source
- Modality
- Other
- Library
- Not stated by the source
- Parameters
- 23M parameters
- Languages
- Not stated by the source
- Revision
- ec2f895e02e6658bc14f6b19b1cba38849cd804b
- First published
- 2026-10-01
- Last updated
- 2026-10-02
Files and Weights
6 files, 91.6 MB in total. The weights are 1 file totalling 90.9 MB in safetensors.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| model.safetensors | Weights | 90.9 MB | 6e302c71889f |
| config.json | Configuration | 814 B | — |
| README.md | Documentation | 25 B | — |
| .gitattributes | Repository | 1.5 KB | — |
| tokenizer.json | Tokenizer | 711.5 KB | — |
| tokenizer_config.json | Tokenizer | 594 B | — |
License and Download
- License
- unknown
- Access
- Open weights, no gate
- Download size
- 90.9 MB
Released by Adithyaa Veerabathiran Seran through its official repository on Hugging Face.
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 90.9 MB |
| 16-bit | 0.0 GB |
| 8-bit | 0.0 GB |
| 4-bit | 0.0 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About hw1-hc3-detector
How much GPU memory does hw1-hc3-detector need?
About 0.1 GB at 16-bit and 0 GB at 4-bit: the weights (23M parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run hw1-hc3-detector 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 license is hw1-hc3-detector released under?
unknown, as its publisher declares it. Read the license text before commercial use.
What is hw1-hc3-detector's context length?
512 tokens, from the maximum position embeddings in its published configuration.