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Open-weight model · Image classification
by AI/ML Mentorship Marc-HealthAI/Crimson-Flame-6-resNet18
Crimson-Flame-6-resNet18 is an open-weight model for image classification from AI/ML Mentorship, released under MIT License. It has 11M parameters. At 16-bit it needs about 0 GB of GPU memory, which fits on 1x MI300X from $1.85 an hour, at the lowest prices in the SAVRN Index. It draws 17 downloads a month.
This model is a fine-tuned ResNet-18 trained to classify fetal ultrasound standard planes. This model was trained on dataset Marc-HealthAI/fetal-planes-classification-dataset-main. No explicit description provided in dataset metadata.
What it takes to serve Crimson-Flame-6-resNet18 (11M 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 (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 5, 2026.
Crimson-Flame-6-resNet18 on every accelerator the SAVRN Index prices, at every precision
By AI/ML Mentorship, published under mit, revision 411aadd37f4d.
This model is a fine-tuned ResNet-18 trained to classify fetal ultrasound standard planes. This model was trained on dataset Marc-HealthAI/fetal-planes-classification-dataset-main. No explicit description provided in dataset metadata. Burgos-Artizzu, X.P., Coronado-Gutiérrez, D., Valenzuela-Alcaraz, B. et al. Evaluation of deep convolutional neural networks for automatic classification of common maternal fetal ultrasound planes. Sci Rep 10, 10200 (2020). https://doi.org/10.1038/s41598-020-67076-5 A large dataset of routinely acquired maternal-fetal screening ultrasound images collected from two different hospitals by several operators and ultrasound machines. All images were manually…
This model is a fine-tuned ResNet-18 trained to classify fetal ultrasound standard planes.
| Epoch | Eval Loss | Eval Accuracy | Eval Precision (Macro) | Eval Recall (Macro) | Eval F1 (Macro) |
|---|---|---|---|---|---|
| 1.0 | 0.2145 | 0.9184 | 0.8942 | 0.9394 | 0.9130 |
| 2.0 | 0.1825 | 0.9341 | 0.9122 | 0.9455 | 0.9271 |
| 3.0 | 0.1793 | 0.9301 | 0.9137 | 0.9438 | 0.9258 |
| 4.0 | 0.1710 | 0.9325 | 0.9174 | 0.9458 | 0.9290 |
| 5.0 | 0.1618 | 0.9337 | 0.9190 | 0.9446 | 0.9307 |
| 6.0 | 0.1672 | 0.9418 | 0.9280 | 0.9493 | 0.9377 |
| 7.0 | 0.1711 | 0.9414 | 0.9238 | 0.9566 | 0.9381 |
| 8.0 | 0.2063 | 0.9503 | 0.9466 | 0.9432 | 0.9431 |
| 9.0 | 0.1635 | 0.9406 | 0.9223 | 0.9525 | 0.9359 |
| 10.0 | 0.2121 | 0.9366 | 0.9194 | 0.9471 | 0.9319 |
| 11.0 | 0.1645 | 0.9572 | 0.9491 | 0.9572 | 0.9530 |
| 12.0 | 0.1618 | 0.9531 | 0.9375 | 0.9579 | 0.9471 |
| 13.0 | 0.1864 | 0.9499 | 0.9339 | 0.9527 | 0.9426 |
| 14.0 | 0.1858 | 0.9515 | 0.9360 | 0.9555 | 0.9451 |
| 15.0 | 0.2731 | 0.9531 | 0.9530 | 0.9484 | 0.9501 |
| 16.0 | 0.2352 | 0.9523 | 0.9420 | 0.9520 | 0.9467 |
| 17.0 | 0.1957 | 0.9463 | 0.9297 | 0.9545 | 0.9411 |
This model was trained on dataset Marc-HealthAI/fetal-planes-classification-dataset-main.
['Image_name', 'Patient_num', 'Plane', 'Brain_plane', 'Operator', 'US_Machine', 'Split', 'image']No explicit description provided in dataset metadata.
153 files, 55.2 MB in total. The weights are 1 file totalling 44.8 MB in safetensors.
| File | Type | Size | SHA-256 |
|---|---|---|---|
| model.safetensors | Weights | 44.8 MB | c3aefc5515df |
| config.json | Configuration | 525 B | — |
| README.md | Documentation | 4.1 KB | — |
| CrimsonFlameconfusion_matrix.csv | Other | 236 B | — |
| CrimsonFlameconfusion_matrix.png | Other | 186.1 KB | 889f306451f8 |
| Crimson_Flameclassification_report.txt | Other | 572 B | — |
| accuracy_curve.png | Other | 101.6 KB | 0a5d4416a62e |
| gradcam_eval_heatmaps/gradcam_grid_display_batch_1.png | Other | 989.1 KB | b670415dccee |
| gradcam_eval_heatmaps/gradcam_grid_display_batch_2.png | Other | 1.0 MB | 8f86d5b90627 |
| gradcam_eval_heatmaps/gradcam_grid_display_batch_3.png | Other | 1.0 MB | 5be3fa40d367 |
| gradcam_eval_heatmaps/gradcam_grid_display_batch_4.png | Other | 995.5 KB | d01a945ae2dc |
| gradcam_eval_heatmaps/gradcam_grid_display_batch_5.png | Other | 1.0 MB | b162820f5071 |
| gradcam_eval_heatmaps/per_class/gradcam_class_0_Fetal_abdomen.png | Other | 533.2 KB | fa45de051a6e |
| gradcam_eval_heatmaps/per_class/gradcam_class_1_Fetal_brain.png | Other | 416.8 KB | a5a2b2c4476f |
| gradcam_eval_heatmaps/per_class/gradcam_class_2_Fetal_femur.png | Other | 531.8 KB | 91eebdb65d0a |
| gradcam_eval_heatmaps/per_class/gradcam_class_3_Fetal_thorax.png | Other | 519.2 KB | b045f29b6035 |
| gradcam_eval_heatmaps/sample_101_true_Fetal_femur_pred_Fetal_femur.png | Other | 21.7 KB | — |
| gradcam_eval_heatmaps/sample_107_true_Fetal_brain_pred_Fetal_brain.png | Other | 22.4 KB | — |
| gradcam_eval_heatmaps/sample_107_true_Fetal_brain_pred_Fetal_femur.png | Other | 23.0 KB | — |
| gradcam_eval_heatmaps/sample_110_true_Fetal_abdomen_pred_Fetal_abdomen.png | Other | 24.6 KB | — |
| gradcam_eval_heatmaps/sample_111_true_Fetal_brain_pred_Fetal_brain.png | Other | 23.1 KB | — |
| gradcam_eval_heatmaps/sample_112_true_Fetal_brain_pred_Fetal_brain.png | Other | 23.7 KB | — |
| gradcam_eval_heatmaps/sample_114_true_Fetal_femur_pred_Fetal_femur.png | Other | 21.5 KB | — |
| gradcam_eval_heatmaps/sample_116_true_Fetal_thorax_pred_Other.png | Other | 22.2 KB | — |
| gradcam_eval_heatmaps/sample_119_true_Fetal_femur_pred_Fetal_femur.png | Other | 23.1 KB | — |
| gradcam_eval_heatmaps/sample_125_true_Fetal_thorax_pred_Other.png | Other | 24.3 KB | — |
| gradcam_eval_heatmaps/sample_12_true_Fetal_abdomen_pred_Fetal_abdomen.png | Other | 25.2 KB | — |
| gradcam_eval_heatmaps/sample_12_true_Fetal_abdomen_pred_Other.png | Other | 25.3 KB | — |
| gradcam_eval_heatmaps/sample_132_true_Fetal_femur_pred_Fetal_femur.png | Other | 21.6 KB | — |
| gradcam_eval_heatmaps/sample_135_true_Fetal_abdomen_pred_Fetal_abdomen.png | Other | 24.4 KB | — |
| gradcam_eval_heatmaps/sample_135_true_Fetal_abdomen_pred_Other.png | Other | 24.3 KB | — |
| gradcam_eval_heatmaps/sample_136_true_Fetal_brain_pred_Fetal_brain.png | Other | 25.2 KB | — |
| gradcam_eval_heatmaps/sample_13_true_Fetal_brain_pred_Fetal_brain.png | Other | 25.2 KB | — |
| gradcam_eval_heatmaps/sample_140_true_Fetal_thorax_pred_Fetal_thorax.png | Other | 21.9 KB | — |
| gradcam_eval_heatmaps/sample_142_true_Fetal_abdomen_pred_Fetal_abdomen.png | Other | 23.3 KB | — |
| gradcam_eval_heatmaps/sample_144_true_Fetal_thorax_pred_Other.png | Other | 22.9 KB | — |
| gradcam_eval_heatmaps/sample_148_true_Fetal_abdomen_pred_Fetal_abdomen.png | Other | 25.1 KB | — |
| gradcam_eval_heatmaps/sample_150_true_Fetal_thorax_pred_Fetal_thorax.png | Other | 25.3 KB | — |
| gradcam_eval_heatmaps/sample_150_true_Fetal_thorax_pred_Other.png | Other | 25.6 KB | — |
| gradcam_eval_heatmaps/sample_155_true_Fetal_femur_pred_Fetal_femur.png | Other | 23.0 KB | — |
| gradcam_eval_heatmaps/sample_15_true_Fetal_thorax_pred_Fetal_brain.png | Other | 23.3 KB | — |
| gradcam_eval_heatmaps/sample_15_true_Fetal_thorax_pred_Fetal_thorax.png | Other | 23.6 KB | — |
| gradcam_eval_heatmaps/sample_16_true_Fetal_brain_pred_Fetal_brain.png | Other | 18.8 KB | — |
| gradcam_eval_heatmaps/sample_172_true_Fetal_brain_pred_Fetal_brain.png | Other | 20.9 KB | — |
| gradcam_eval_heatmaps/sample_174_true_Fetal_abdomen_pred_Fetal_abdomen.png | Other | 25.5 KB | — |
| gradcam_eval_heatmaps/sample_174_true_Fetal_abdomen_pred_Other.png | Other | 25.9 KB | — |
| gradcam_eval_heatmaps/sample_176_true_Fetal_brain_pred_Fetal_brain.png | Other | 24.5 KB | — |
| gradcam_eval_heatmaps/sample_181_true_Fetal_abdomen_pred_Other.png | Other | 23.9 KB | — |
| gradcam_eval_heatmaps/sample_183_true_Fetal_thorax_pred_Other.png | Other | 23.4 KB | — |
| gradcam_eval_heatmaps/sample_185_true_Fetal_thorax_pred_Other.png | Other | 22.8 KB | — |
| gradcam_eval_heatmaps/sample_186_true_Fetal_femur_pred_Fetal_femur.png | Other | 21.9 KB | — |
| gradcam_eval_heatmaps/sample_186_true_Fetal_femur_pred_Other.png | Other | 22.0 KB | — |
| gradcam_eval_heatmaps/sample_189_true_Fetal_abdomen_pred_Fetal_abdomen.png | Other | 23.7 KB | — |
| gradcam_eval_heatmaps/sample_189_true_Fetal_abdomen_pred_Other.png | Other | 23.9 KB | — |
| gradcam_eval_heatmaps/sample_193_true_Fetal_femur_pred_Fetal_femur.png | Other | 21.2 KB | — |
| gradcam_eval_heatmaps/sample_193_true_Fetal_femur_pred_Other.png | Other | 20.6 KB | — |
| gradcam_eval_heatmaps/sample_194_true_Fetal_thorax_pred_Fetal_thorax.png | Other | 24.5 KB | — |
| gradcam_eval_heatmaps/sample_194_true_Fetal_thorax_pred_Other.png | Other | 23.8 KB | — |
| gradcam_eval_heatmaps/sample_197_true_Fetal_brain_pred_Other.png | Other | 25.5 KB | — |
| gradcam_eval_heatmaps/sample_207_true_Fetal_thorax_pred_Fetal_thorax.png | Other | 20.9 KB | — |
| gradcam_eval_heatmaps/sample_20_true_Fetal_abdomen_pred_Other.png | Other | 19.2 KB | — |
| gradcam_eval_heatmaps/sample_214_true_Fetal_abdomen_pred_Fetal_abdomen.png | Other | 22.1 KB | — |
| gradcam_eval_heatmaps/sample_215_true_Fetal_brain_pred_Fetal_brain.png | Other | 20.7 KB | — |
| gradcam_eval_heatmaps/sample_216_true_Fetal_thorax_pred_Other.png | Other | 20.2 KB | — |
| gradcam_eval_heatmaps/sample_229_true_Fetal_abdomen_pred_Fetal_abdomen.png | Other | 21.1 KB | — |
| gradcam_eval_heatmaps/sample_22_true_Fetal_thorax_pred_Other.png | Other | 17.3 KB | — |
| gradcam_eval_heatmaps/sample_232_true_Fetal_abdomen_pred_Other.png | Other | 21.4 KB | — |
| gradcam_eval_heatmaps/sample_235_true_Fetal_brain_pred_Fetal_brain.png | Other | 21.2 KB | — |
| gradcam_eval_heatmaps/sample_236_true_Fetal_abdomen_pred_Fetal_abdomen.png | Other | 21.2 KB | — |
| gradcam_eval_heatmaps/sample_236_true_Fetal_abdomen_pred_Other.png | Other | 21.4 KB | — |
| gradcam_eval_heatmaps/sample_23_true_Fetal_femur_pred_Fetal_femur.png | Other | 17.6 KB | — |
| gradcam_eval_heatmaps/sample_244_true_Fetal_thorax_pred_Other.png | Other | 21.0 KB | — |
| gradcam_eval_heatmaps/sample_248_true_Fetal_abdomen_pred_Other.png | Other | 20.8 KB | — |
| gradcam_eval_heatmaps/sample_258_true_Fetal_brain_pred_Fetal_brain.png | Other | 21.8 KB | — |
| gradcam_eval_heatmaps/sample_261_true_Fetal_thorax_pred_Fetal_thorax.png | Other | 22.9 KB | — |
| gradcam_eval_heatmaps/sample_273_true_Fetal_femur_pred_Fetal_femur.png | Other | 21.1 KB | — |
| gradcam_eval_heatmaps/sample_274_true_Fetal_thorax_pred_Other.png | Other | 21.2 KB | — |
| gradcam_eval_heatmaps/sample_279_true_Fetal_thorax_pred_Fetal_thorax.png | Other | 18.6 KB | — |
| gradcam_eval_heatmaps/sample_282_true_Fetal_abdomen_pred_Fetal_abdomen.png | Other | 21.2 KB | — |
| gradcam_eval_heatmaps/sample_287_true_Fetal_femur_pred_Fetal_femur.png | Other | 19.4 KB | — |
| gradcam_eval_heatmaps/sample_287_true_Fetal_femur_pred_Other.png | Other | 19.4 KB | — |
| gradcam_eval_heatmaps/sample_295_true_Fetal_thorax_pred_Other.png | Other | 21.0 KB | — |
| gradcam_eval_heatmaps/sample_298_true_Fetal_brain_pred_Fetal_brain.png | Other | 19.7 KB | — |
| gradcam_eval_heatmaps/sample_301_true_Fetal_femur_pred_Fetal_femur.png | Other | 19.5 KB | — |
| gradcam_eval_heatmaps/sample_302_true_Fetal_abdomen_pred_Fetal_abdomen.png | Other | 21.0 KB | — |
| gradcam_eval_heatmaps/sample_308_true_Fetal_abdomen_pred_Fetal_abdomen.png | Other | 23.2 KB | — |
| gradcam_eval_heatmaps/sample_309_true_Fetal_femur_pred_Fetal_femur.png | Other | 19.9 KB | — |
| gradcam_eval_heatmaps/sample_309_true_Fetal_femur_pred_Other.png | Other | 20.4 KB | — |
| gradcam_eval_heatmaps/sample_311_true_Fetal_abdomen_pred_Fetal_abdomen.png | Other | 22.3 KB | — |
| gradcam_eval_heatmaps/sample_316_true_Fetal_brain_pred_Fetal_brain.png | Other | 21.7 KB | — |
| gradcam_eval_heatmaps/sample_321_true_Fetal_brain_pred_Fetal_brain.png | Other | 21.2 KB | — |
| gradcam_eval_heatmaps/sample_325_true_Fetal_brain_pred_Fetal_brain.png | Other | 22.0 KB | — |
| gradcam_eval_heatmaps/sample_327_true_Fetal_brain_pred_Fetal_brain.png | Other | 20.6 KB | — |
| gradcam_eval_heatmaps/sample_331_true_Fetal_femur_pred_Fetal_femur.png | Other | 21.2 KB | — |
| gradcam_eval_heatmaps/sample_331_true_Fetal_femur_pred_Other.png | Other | 20.8 KB | — |
| gradcam_eval_heatmaps/sample_332_true_Fetal_abdomen_pred_Fetal_abdomen.png | Other | 24.4 KB | — |
| gradcam_eval_heatmaps/sample_332_true_Fetal_abdomen_pred_Other.png | Other | 24.8 KB | — |
| gradcam_eval_heatmaps/sample_338_true_Fetal_abdomen_pred_Fetal_abdomen.png | Other | 20.4 KB | — |
| gradcam_eval_heatmaps/sample_343_true_Fetal_abdomen_pred_Fetal_abdomen.png | Other | 21.9 KB | — |
| gradcam_eval_heatmaps/sample_346_true_Fetal_brain_pred_Fetal_brain.png | Other | 21.1 KB | — |
| gradcam_eval_heatmaps/sample_349_true_Fetal_femur_pred_Fetal_femur.png | Other | 20.0 KB | — |
| gradcam_eval_heatmaps/sample_357_true_Fetal_brain_pred_Fetal_brain.png | Other | 20.9 KB | — |
| gradcam_eval_heatmaps/sample_359_true_Fetal_femur_pred_Fetal_femur.png | Other | 21.1 KB | — |
| gradcam_eval_heatmaps/sample_35_true_Fetal_brain_pred_Fetal_brain.png | Other | 20.1 KB | — |
| gradcam_eval_heatmaps/sample_360_true_Fetal_brain_pred_Fetal_brain.png | Other | 20.8 KB | — |
| gradcam_eval_heatmaps/sample_366_true_Fetal_abdomen_pred_Other.png | Other | 20.3 KB | — |
| gradcam_eval_heatmaps/sample_368_true_Fetal_femur_pred_Fetal_femur.png | Other | 19.0 KB | — |
| gradcam_eval_heatmaps/sample_368_true_Fetal_femur_pred_Other.png | Other | 19.1 KB | — |
| gradcam_eval_heatmaps/sample_36_true_Fetal_femur_pred_Fetal_femur.png | Other | 20.5 KB | — |
| gradcam_eval_heatmaps/sample_373_true_Fetal_brain_pred_Fetal_brain.png | Other | 21.7 KB | — |
| gradcam_eval_heatmaps/sample_377_true_Fetal_brain_pred_Fetal_brain.png | Other | 20.2 KB | — |
| gradcam_eval_heatmaps/sample_379_true_Fetal_brain_pred_Fetal_brain.png | Other | 21.0 KB | — |
| gradcam_eval_heatmaps/sample_386_true_Fetal_brain_pred_Fetal_brain.png | Other | 15.5 KB | — |
| gradcam_eval_heatmaps/sample_388_true_Fetal_abdomen_pred_Fetal_abdomen.png | Other | 17.8 KB | — |
| gradcam_eval_heatmaps/sample_388_true_Fetal_abdomen_pred_Other.png | Other | 18.1 KB | — |
| gradcam_eval_heatmaps/sample_390_true_Fetal_brain_pred_Fetal_brain.png | Other | 19.8 KB | — |
| gradcam_eval_heatmaps/sample_3_true_Fetal_thorax_pred_Fetal_brain.png | Other | 26.7 KB | — |
| gradcam_eval_heatmaps/sample_400_true_Fetal_femur_pred_Fetal_femur.png | Other | 19.9 KB | — |
| gradcam_eval_heatmaps/sample_401_true_Fetal_brain_pred_Fetal_brain.png | Other | 20.8 KB | — |
| gradcam_eval_heatmaps/sample_407_true_Fetal_brain_pred_Fetal_brain.png | Other | 20.4 KB | — |
| gradcam_eval_heatmaps/sample_40_true_Fetal_brain_pred_Fetal_brain.png | Other | 16.3 KB | — |
| gradcam_eval_heatmaps/sample_412_true_Fetal_femur_pred_Fetal_femur.png | Other | 20.5 KB | — |
| gradcam_eval_heatmaps/sample_414_true_Fetal_brain_pred_Fetal_brain.png | Other | 18.6 KB | — |
| gradcam_eval_heatmaps/sample_415_true_Fetal_femur_pred_Fetal_brain.png | Other | 21.6 KB | — |
| gradcam_eval_heatmaps/sample_421_true_Fetal_brain_pred_Fetal_brain.png | Other | 21.3 KB | — |
| gradcam_eval_heatmaps/sample_423_true_Fetal_abdomen_pred_Other.png | Other | 18.9 KB | — |
| gradcam_eval_heatmaps/sample_424_true_Fetal_femur_pred_Fetal_femur.png | Other | 15.8 KB | — |
| gradcam_eval_heatmaps/sample_429_true_Fetal_brain_pred_Fetal_brain.png | Other | 21.4 KB | — |
| gradcam_eval_heatmaps/sample_431_true_Fetal_femur_pred_Fetal_femur.png | Other | 21.3 KB | — |
| gradcam_eval_heatmaps/sample_432_true_Fetal_brain_pred_Fetal_brain.png | Other | 17.7 KB | — |
| gradcam_eval_heatmaps/sample_434_true_Fetal_femur_pred_Fetal_femur.png | Other | 19.8 KB | — |
| gradcam_eval_heatmaps/sample_437_true_Fetal_brain_pred_Fetal_brain.png | Other | 19.4 KB | — |
| gradcam_eval_heatmaps/sample_440_true_Fetal_abdomen_pred_Fetal_abdomen.png | Other | 18.5 KB | — |
| gradcam_eval_heatmaps/sample_440_true_Fetal_abdomen_pred_Other.png | Other | 19.2 KB | — |
| gradcam_eval_heatmaps/sample_444_true_Fetal_femur_pred_Fetal_femur.png | Other | 19.5 KB | — |
| gradcam_eval_heatmaps/sample_446_true_Fetal_brain_pred_Fetal_brain.png | Other | 18.9 KB | — |
| gradcam_eval_heatmaps/sample_44_true_Fetal_brain_pred_Fetal_brain.png | Other | 20.8 KB | — |
| gradcam_eval_heatmaps/sample_47_true_Fetal_thorax_pred_Other.png | Other | 19.8 KB | — |
| gradcam_eval_heatmaps/sample_49_true_Fetal_femur_pred_Fetal_femur.png | Other | 17.7 KB | — |
| gradcam_eval_heatmaps/sample_51_true_Fetal_brain_pred_Fetal_brain.png | Other | 18.9 KB | — |
| gradcam_eval_heatmaps/sample_52_true_Fetal_thorax_pred_Other.png | Other | 17.2 KB | — |
| gradcam_eval_heatmaps/sample_57_true_Fetal_thorax_pred_Other.png | Other | 19.4 KB | — |
| gradcam_eval_heatmaps/sample_63_true_Fetal_femur_pred_Fetal_femur.png | Other | 25.6 KB | — |
| gradcam_eval_heatmaps/sample_71_true_Fetal_femur_pred_Fetal_femur.png | Other | 21.9 KB | — |
| gradcam_eval_heatmaps/sample_79_true_Fetal_abdomen_pred_Fetal_abdomen.png | Other | 19.5 KB | — |
| gradcam_eval_heatmaps/sample_81_true_Fetal_brain_pred_Fetal_brain.png | Other | 17.6 KB | — |
| gradcam_eval_heatmaps/sample_83_true_Fetal_thorax_pred_Fetal_thorax.png | Other | 17.9 KB | — |
| gradcam_eval_heatmaps/sample_87_true_Fetal_thorax_pred_Fetal_thorax.png | Other | 22.3 KB | — |
| gradcam_eval_heatmaps/sample_98_true_Fetal_abdomen_pred_Fetal_abdomen.png | Other | 17.9 KB | — |
| loss_curve.png | Other | 181.9 KB | 048c9f8b74d4 |
| training_history.csv | Other | 3.2 KB | — |
| validation_metrics_curve.png | Other | 130.5 KB | 494a1976ddcd |
| .gitattributes | Repository | 2.6 KB | — |
Released by AI/ML Mentorship through its official repository on Hugging Face. Read the license.
| Precision | Weights in memory |
|---|---|
| As published | 44.8 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.
About 0 GB at 16-bit and 0 GB at 4-bit: the weights (11M parameters) plus a working margin. A long context needs more.
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.
Yes. Crimson-Flame-6-resNet18 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.
A ResNet-B image classification model. single layer 7x7 convolution with pooling 1x1 convolution shortcut downsample Trained on ImageNet-1k in timm using recipe template described below. ResNet Strikes Back A1 recipe - Deep Residual Learning for Image Recognition: https://arxiv.org/abs/1512.03385 Explore the dataset and runtime metrics of this model in timm model results.
A ResNet-B image classification model. single layer 7x7 convolution with pooling 1x1 convolution shortcut downsample Trained on ImageNet-1k in timm using recipe template described below. ResNet Strikes Back A3 recipe - Deep Residual Learning for Image Recognition: https://arxiv.org/abs/1512.03385 Explore the dataset and runtime metrics of this model in timm model results.
A EfficientNet image classification model. Trained on ImageNet-1k in timm using recipe template described below. RandAugment RA2 recipe. Inspired by and evolved from EfficientNet RandAugment recipes. Published as B recipe in ResNet Strikes Back. RMSProp (TF 1.0 behaviour) optimizer, EMA weight averaging Step (exponential decay w/ staircase) LR schedule with warmup Explore the dataset and runtime metrics of this model in timm model results.
A CSPNeXt image classification model. Pretrained on ImageNet-1k by OpenMMLab (RTMDet) and converted to timm format. Name disambiguation: This is the CSPNeXt backbone of RTMDet (OpenMMLab), as implemented in MMDetection. A separate paper, CSPNeXt: A new efficient token hybrid backbone (Chen et al., EAAI 2024, doi:10.1016/j.engappai.2024.107886), uses the same name for a different architecture. These weights do not implement that paper; please cite RTMDet (below) for this model. - https://github.com/open-mmlab/mmdetection/tree/main/configs/rtmdet/classification - https://download.openmmlab.com/mmdetection/v3.0/rtmdet/cspnextrsbpretrain/cspnext-m8xb256-rsb-a1-600ein1k-ecb3bbd9.pth ImageNet-1k…
A RepVGG image classification model. Trained on ImageNet-1k by paper authors. This model architecture is implemented using timm's flexible BYOBNet (Bring-Your-Own-Blocks Network). block / stage layout stem layout output stride (dilation) activation and norm layers channel and spatial / self-attention layers...and also includes timm features common to many other architectures, including: stochastic depth gradient checkpointing layer-wise LR decay per-stage feature extraction Explore the dataset and runtime metrics of this model in timm model results.
A ConvNeXt-V2 image classification model. Pretrained with a fully convolutional masked autoencoder framework (FCMAE) and fine-tuned on ImageNet-1k. Explore the dataset and runtime metrics of this model in timm model results. All timing numbers from eager model PyTorch 1.13 on RTX 3090 w/ AMP.