# digit-cnn by Abhi Agasanakoppa: Open-Weight Model
Source: https://savrn.com/models/digit-cnn
Markdown alternate of the page above; the site index is https://savrn.com/llms.txt

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## Runs On

What it takes to serve digit-cnn (431,530 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 | 0.0 GB | 1x [MI300X](https://savrn.com/ai-index/pricing/gpus/mi300x) (192 GB) Vultr | $1.85 | [1x H100](https://savrn.com/ai-index/pricing/gpus/h100) $1.99 · [1x MI325X](https://savrn.com/ai-index/pricing/gpus/mi325x) $2.00 |
| 8-bit | 0.0 GB | 0.0 GB | 1x [MI300X](https://savrn.com/ai-index/pricing/gpus/mi300x) (192 GB) Vultr | $1.85 | [1x H100](https://savrn.com/ai-index/pricing/gpus/h100) $1.99 · [1x MI325X](https://savrn.com/ai-index/pricing/gpus/mi325x) $2.00 |
| 4-bit | 0.0 GB | 0.0 GB | 1x [MI300X](https://savrn.com/ai-index/pricing/gpus/mi300x) (192 GB) Vultr | $1.85 | [1x H100](https://savrn.com/ai-index/pricing/gpus/h100) $1.99 · [1x MI325X](https://savrn.com/ai-index/pricing/gpus/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](https://savrn.com/ai-index/pricing/gpus), read Oct 12, 2026.

[digit-cnn on every accelerator the SAVRN Index prices, at every precision](https://savrn.com/models/digit-cnn/gpus)

## Model Card

By Abhi Agasanakoppa, published under mit, revision c945f6dfe72d.

Read Abhi Agasanakoppa's full model card

license: mit datasets: - ylecun/mnist language: - en

## Configuration

Model type

digit_cnn

## Identity and Version

Repository

abhirath-a/digit-cnn

Publisher

Abhi Agasanakoppa

Task

Not stated by the source

Modality

Other

Library

Not stated by the source

Parameters

431,530 parameters

Languages

en

Revision

c945f6dfe72db3c8a2219fbfd9e8161c07350361

First published

2026-08-24

Last updated

2026-09-22

## Files and Weights

6 files, 1.7 MB in total. The weights are 1 file totalling 1.7 MB in safetensors.

Weights1 file · 1.7 MB

Configuration3 files · 2.6 KB

Documentation1 file · 60 B

Repository1 file · 1.5 KB

Every file

| File | Type | Size | SHA-256 |
| --- | --- | --- | --- |
| model.safetensors | Weights | 1.7 MB | c01144b88c53 |
| config.json | Configuration | 272 B | — |
| inference.py | Configuration | 621 B | — |
| model.py | Configuration | 1.7 KB | — |
| README.md | Documentation | 60 B | — |
| .gitattributes | Repository | 1.5 KB | — |

## License and Download

License

mit

Access

Open weights, no gate

Download size

1.7 MB

[Download from Abhi Agasanakoppa](https://huggingface.co/abhirath-a/digit-cnn)

Released by Abhi Agasanakoppa through its official repository on Hugging Face. [Read the license](https://opensource.org/license/mit).

## Built From

- Trained on (disclosed) ylecun/mnist

## Memory Requirements

| Precision | Weights in memory |
| --- | --- |
| As published | 1.7 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 digit-cnn

### How much GPU memory does digit-cnn need?

About 0 GB at 16-bit and 0 GB at 4-bit: the weights (431,530 parameters) plus a working margin. A long context needs more.

### What is the cheapest GPU to run digit-cnn 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.

### Can I use digit-cnn commercially?

Yes. digit-cnn is released under MIT License. The MIT License is a short permissive license. It permits commercial use, modification and redistribution, provided the copyright notice and permission notice are included.

## Abhi Agasanakoppa

[All models and datasets](https://savrn.com/model-publishers/abhirath-a)

## Versions

- [c945f6dfe72d](https://savrn.com/models/digit-cnn/versions/c945f6dfe72d) · current 2026-09-22

## Explore More

- [All models under mit](https://savrn.com/models/licenses/mit)
- [Model comparisons](https://savrn.com/models/comparisons)
- [The model directory](https://savrn.com/models)
- [Open model prices by host](https://savrn.com/ai-index/pricing/open-models)

## Source

- Repository metadata, read 2026-09-22.
- [Hugging Face record](https://huggingface.co/abhirath-a/digit-cnn)
- [How the hub is built](https://savrn.com/model-hub/methodology)