# stonkfun-graduation-predictor by Joshua Rhode: Open Model Source: https://savrn.com/models/stonkfun-graduation-predictor Markdown alternate of the page above; the site index is https://savrn.com/llms.txt --- ## Runs On What it takes to serve stonkfun-graduation-predictor (77,890 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. [stonkfun-graduation-predictor on every accelerator the SAVRN Index prices, at every precision](https://savrn.com/models/stonkfun-graduation-predictor/gpus) ## Model Card By Joshua Rhode, published under mit, revision eca160ae7e7c. Tabular Transformer trained on 177,110 Stonkfun launches (status='graduated' label, 2.7% positive, time-ordered split). Leak-free features only: create-time metadata (name/symbol length, fees, creator, hour/dow, website) + 5m early-window candle features, computed by stonkfunfeatures.py, the same code the live scorer uses. - 123,976 train / 26,567 val / 26,567 test (time-ordered) Read Joshua Rhode's full model card Tabular Transformer trained on 177,110 Stonkfun launches (status='graduated' label, 2.7% positive, time-ordered split). Leak-free features only: create-time metadata (name/symbol length, fees, creator, hour/dow, website) + 5m early-window candle features, computed by stonkfun_features.py, the same code the live scorer uses. ### Use ``` from modeling_stonkfun import load_pretrained from stonkfun_features import encode_row import torch model, meta = load_pretrained('jrhode666/stonkfun-graduation-predictor') num, cat = encode_row(token_row, meta) # token_row: dict of stonkfun_tokens + candle feature columns p = model.predict_proba(torch.from_numpy(num)[None], torch.from_numpy(cat)[None])[0] ``` ### Training - 123,976 train / 26,567 val / 26,567 test (time-ordered) - Val: AUC 0.917, AP 0.190, F1 0.201 · Test: AUC 0.886, AP 0.155, F1 0.189 ## Configuration Architecture StonkfunTabularModel Model type stonkfun_tabular ## Identity and Version Repository jrhode666/stonkfun-graduation-predictor Publisher Joshua Rhode Task Tabular classification Modality Tabular Library transformers Parameters 77,890 parameters Languages en Revision eca160ae7e7c48ec7f3c229eb91bc0080232a49c First published 2026-09-21 Last updated 2026-10-10 ## Files and Weights 8 files, 345.0 KB in total. The weights are 2 files totalling 320.1 KB in bin, safetensors. Weights2 files · 320.1 KB Configuration4 files · 21.9 KB Documentation1 file · 1.5 KB Repository1 file · 1.5 KB Every file | File | Type | Size | SHA-256 | | --- | --- | --- | --- | | model.safetensors | Weights | 314.9 KB | 8a1f09f2bf1e | | training_args.bin | Weights | 5.2 KB | 1e8065057859 | | config.json | Configuration | 374 B | — | | feature_meta.json | Configuration | 5.5 KB | — | | modeling_stonkfun.py | Configuration | 3.3 KB | — | | stonkfun_features.py | Configuration | 12.7 KB | — | | README.md | Documentation | 1.5 KB | — | | .gitattributes | Repository | 1.5 KB | — | ## License and Download License mit Access Open weights, no gate Download size 320.1 KB [Download from Joshua Rhode](https://huggingface.co/jrhode666/stonkfun-graduation-predictor) Released by Joshua Rhode through its official repository on Hugging Face. [Read the license](https://opensource.org/license/mit). ## Built From - Trained on (disclosed) jrhode666/stonkfun-tokens ## Evaluations Each result is shown as reported, with the conditions its reporter stated. None is a SAVRN measurement. A comparison lines two results up only when their configuration, unit and setup are all stated and identical. | Benchmark | Conditions | Result | Reported by | Revision | Date | | --- | --- | --- | --- | --- | --- | | stonkfun-tokens | Task Tabular ClassificationMetric AP (test)Comparison conditions not established | 0.1555 | [jrhode666](https://huggingface.co/jrhode666/stonkfun-graduation-predictor) Publisher reported | Evaluated revision not stated | — | | stonkfun-tokens | Task Tabular ClassificationMetric AUC (test)Comparison conditions not established | 0.8858 | [jrhode666](https://huggingface.co/jrhode666/stonkfun-graduation-predictor) Publisher reported | Evaluated revision not stated | — | | stonkfun-tokens | Task Tabular ClassificationMetric F1 (test)Comparison conditions not established | 0.1892 | [jrhode666](https://huggingface.co/jrhode666/stonkfun-graduation-predictor) Publisher reported | Evaluated revision not stated | — | ## Memory Requirements | Precision | Weights in memory | | --- | --- | | As published | 320.1 KB | | 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 stonkfun-graduation-predictor ### How much GPU memory does stonkfun-graduation-predictor need? About 0 GB at 16-bit and 0 GB at 4-bit: the weights (77,890 parameters) plus a working margin. A long context needs more. ### What is the cheapest GPU to run stonkfun-graduation-predictor 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 stonkfun-graduation-predictor commercially? Yes. stonkfun-graduation-predictor 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. ## Similar Models Model · Tabular classification ### [Nori-30M](https://savrn.com/models/nori-30m) [Synthefy](https://savrn.com/model-publishers/synthefy) Nori-30M is the ~29.2M-parameter variant of Nori, a tabular foundation model for regression via in-context learning (ICL). 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