MP_political_MIL_classifier is an open-weight model from Oriane Peter. It has 434M parameters and a 512-token context. 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. It draws 819 downloads a month.
This model is a fine-tuned version of on an unknown dataset. The following hyperparameters were used during training: - learningrate: 1e-05 - trainbatchsize: 2 - evalbatchsize: 4 - gradientaccumulationsteps: 4 - totaltrainbatchsize: 8 - lrschedulertype…
Parameters434M
Context512
Weights3.5 GB
License—
AccessOpen weights
Monthly Downloads819
Runs On
What it takes to serve MP_political_MIL_classifier (434M 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 | 0.9 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 Sep 18, 2026.
MP_political_MIL_classifier on every accelerator the SAVRN Index prices, at every precision
Model Card
This model is a fine-tuned version of on an unknown dataset. The following hyperparameters were used during training: - learningrate: 1e-05 - trainbatchsize: 2 - evalbatchsize: 4 - gradientaccumulationsteps: 4 - totaltrainbatchsize: 8 - lrschedulertype: cosine - lrschedulerwarmupsteps: 0.1 - numepochs: 50 - Transformers 5.12.1 - Pytorch 2.5.1+cu121 - Datasets 5.0.1 - Tokenizers 0.22.2
Excerpt from the card by Oriane Peter.
Configuration
- Architecture
- DebertaLWAN
- Context length (tokens)
- 512
- Model type
- deberta_LWAN
Identity and Version
- Repository
- orpe42/MP_political_MIL_classifier
- Publisher
- Oriane Peter
- Task
- Not stated by the source
- Modality
- Other
- Library
- transformers
- Parameters
- 434M parameters
- Languages
- Not stated by the source
- Revision
- 8810fbe4bcfe3482208207758affbca248516ea3
- First published
- 2026-08-10
- Last updated
- 2026-09-18
Files and Weights
79 files, 3.5 GB in total. The weights are 4 files totalling 3.5 GB in bin, safetensors.
Weights4 files · 3.5 GB
Configuration2 files · 8.9 KB
Tokenizer4 files · 16.7 MB
Documentation1 file · 1.2 KB
Other66 files · 3.5 MB
Repository2 files · 2.1 KB
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| best_model/model.safetensors | Weights | 1.7 GB | dec3f0a3606c |
| best_model/training_args.bin | Weights | 4.9 KB | bdffe459167b |
| model.safetensors | Weights | 1.7 GB | ff57fbf8ce4c |
| training_args.bin | Weights | 4.9 KB | 59ba34aa2116 |
| best_model/config.json | Configuration | 4.5 KB | — |
| config.json | Configuration | 4.5 KB | — |
| README.md | Documentation | 1.2 KB | — |
| evaluation_results.txt | Other | 15.6 KB | — |
| runs/Aug10_18-18-27_erc-hpc-comp240/events.out.tfevents.1786382307.erc-hpc-comp240.3508104.0 | Other | 11.5 KB | f5b8b9b5b549 |
| runs/Aug10_19-00-57_erc-hpc-comp032/events.out.tfevents.1786384857.erc-hpc-comp032.145948.0 | Other | 525.7 KB | 0c1793783bdb |
| runs/Aug11_08-46-10_erc-hpc-comp033/events.out.tfevents.1786434370.erc-hpc-comp033.3501889.0 | Other | 8.9 KB | 22dd795f13bb |
| runs/Aug11_09-18-13_erc-hpc-comp248/events.out.tfevents.1786436293.erc-hpc-comp248.2607868.0 | Other | 9.9 KB | 8ff713151f46 |
| runs/Aug11_10-02-01_erc-hpc-comp040/events.out.tfevents.1786438921.erc-hpc-comp040.1724311.0 | Other | 9.3 KB | 38f774b0e0f3 |
| runs/Aug11_10-10-47_erc-hpc-comp036/events.out.tfevents.1786439447.erc-hpc-comp036.489496.0 | Other | 9.9 KB | 5db00be22ef3 |
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| .gitattributes | Repository | 1.5 KB | — |
| .npy | Repository | 576 B | a82d0e78532e |
| best_model/tokenizer.json | Tokenizer | 8.3 MB | — |
| best_model/tokenizer_config.json | Tokenizer | 538 B | — |
| tokenizer.json | Tokenizer | 8.3 MB | — |
| tokenizer_config.json | Tokenizer | 538 B | — |
License and Download
- License
- Not stated by the source
- Access
- Open weights, no gate
- Download size
- 3.5 GB
Download from Oriane Peter
Released by Oriane Peter through its official repository on Hugging Face.
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 3.5 GB |
| 16-bit | 0.9 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 MP_political_MIL_classifier
How much GPU memory does MP_political_MIL_classifier need?
About 1 GB at 16-bit and 0.3 GB at 4-bit: the weights (434M parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run MP_political_MIL_classifier 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 MP_political_MIL_classifier's context length?
512 tokens, from the maximum position embeddings in its published configuration.