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Open-weight model

foundational-models

by SagaLore Softworks sagalore-softworks/foundational-models

foundational-models is an open-weight model from SagaLore Softworks. Its published files total 34.4 GB. It draws 453 downloads a month.

Parameters—
Context—
Weights30.4 GB
License—
AccessOpen weights
Monthly Downloads453

Model Card

The publisher has not written a card for this model.

Identity and Version

Repository
sagalore-softworks/foundational-models
Publisher
SagaLore Softworks
Task
Not stated by the source
Modality
Other
Library
Not stated by the source
Parameters
Not stated by the source
Languages
Not stated by the source
Revision
426bbd6be843328af0447d53843ea7497effdfd6
First published
2026-05-05
Last updated
2026-09-25

Files and Weights

112 files, 34.4 GB in total. The weights are 31 files totalling 30.4 GB in gguf, onnx.

Weights31 files · 30.4 GB
Configuration45 files · 7.8 MB
Tokenizer6 files · 50.4 MB
Documentation20 files · 219.0 KB
Other9 files · 4.0 GB
Repository1 file · 2.3 KB
Every file
FileTypeSizeSHA-256
aesthetic-predictor-v2-5/model.onnxWeights1.7 GB 42f45cf0a92c
birefnet-general/model.onnxWeights489.7 MB 3654c741eb80
birefnet-lite/model.onnxWeights114.5 MB d39b897ceb16
birefnet-toonout/model.onnxWeights489.7 MB e88c4d49fcf8
camie-tagger-v2/camie-tagger-v2.onnxWeights394.7 MB d818ac90ed80
dinov2-vit-l-14/vision_model.onnxWeights1.2 GB 865bc0021bb6
distill-q-align-aesthetic-siglip2-base/model.onnxWeights346.0 MB 4c42ab30d05c
distill-q-align-quality-siglip2-base/model.onnxWeights346.0 MB 67be4d6d4208
florence-2-base-ft/decoder_model.onnxWeights97.8 MB c529b26bafce
florence-2-base-ft/decoder_with_past_model.onnxWeights90.6 MB edb4ad2c8a65
florence-2-base-ft/embed_tokens.onnxWeights39.4 MB 6b2258db1c8e
florence-2-base-ft/encoder_model.onnxWeights43.7 MB f4ad7a68f1fb
florence-2-base-ft/vision_encoder.onnxWeights93.7 MB 3b79d54f23f6
florence-2-large-ft/decoder_model.onnxWeights256.8 MB ab8f1745218d
florence-2-large-ft/decoder_with_past_model.onnxWeights231.4 MB 02a950da82a9
florence-2-large-ft/embed_tokens.onnxWeights52.5 MB dab1d09ab449
florence-2-large-ft/encoder_model.onnxWeights153.0 MB 9fe30b02cc8c
florence-2-large-ft/vision_encoder.onnxWeights366.4 MB 0dbf2172ef1d
joycaption-beta-one-q4-k-m/mmproj.ggufWeights877.8 MB 94002cb5c354
joycaption-beta-one-q4-k-m/model.ggufWeights4.9 GB b896b53d3a91
joycaption-beta-one-q5-k-m/mmproj.ggufWeights877.8 MB 94002cb5c354
joycaption-beta-one-q5-k-m/model.ggufWeights5.7 GB 7675cb8e154b
joycaption-beta-one-q6-k/mmproj.ggufWeights877.8 MB 94002cb5c354
joycaption-beta-one-q6-k/model.ggufWeights6.6 GB 6723d53d7ae3
joytag/model.onnxWeights183.2 MB e38bf114fd96
pixai-tagger-v0-9/model.onnxWeights636.2 MB fba5f0020624
qwen3-embedding-0-6b/model_fp16.onnxWeights583.5 KB f376cf065d91
ram-plus-plus/model.onnxWeights926.0 MB 99b734bbef8c
siglip2-so400m-patch14-384/text_model.onnxWeights599.0 KB 1be6a35f94aa
siglip2-so400m-patch14-384/vision_model.onnxWeights1.7 GB 7ca661a08aa8
wd-swinv2-tagger-v3/model.onnxWeights467.5 MB e6774bff34d4
aesthetic-predictor-v2-5/MANIFEST.jsonConfiguration789 B —
aesthetic-predictor-v2-5/preprocessor_config.jsonConfiguration405 B —
birefnet-general/MANIFEST.jsonConfiguration741 B —
birefnet-general/config.jsonConfiguration30 B —
birefnet-general/preprocessor_config.jsonConfiguration391 B —
birefnet-lite/MANIFEST.jsonConfiguration743 B —
birefnet-lite/config.jsonConfiguration81 B —
birefnet-lite/preprocessor_config.jsonConfiguration391 B —
birefnet-toonout/MANIFEST.jsonConfiguration1.0 KB —
birefnet-toonout/config.jsonConfiguration30 B —
birefnet-toonout/preprocessor_config.jsonConfiguration391 B —
camie-tagger-v2/MANIFEST.jsonConfiguration887 B —
camie-tagger-v2/camie-tagger-v2-metadata.jsonConfiguration7.8 MB —
camie-tagger-v2/config.jsonConfiguration527 B —
camie-tagger-v2/config.yamlConfiguration480 B —
dinov2-vit-l-14/MANIFEST.jsonConfiguration757 B —
dinov2-vit-l-14/config.jsonConfiguration549 B —
dinov2-vit-l-14/preprocessor_config.jsonConfiguration436 B —
distill-q-align-aesthetic-siglip2-base/MANIFEST.jsonConfiguration680 B —
distill-q-align-aesthetic-siglip2-base/preprocessor_config.jsonConfiguration384 B —
distill-q-align-quality-siglip2-base/MANIFEST.jsonConfiguration676 B —
distill-q-align-quality-siglip2-base/preprocessor_config.jsonConfiguration384 B —
florence-2-base-ft/MANIFEST.jsonConfiguration1.3 KB —
florence-2-base-ft/config.jsonConfiguration5.4 KB —
florence-2-large-ft/MANIFEST.jsonConfiguration1.3 KB —
florence-2-large-ft/config.jsonConfiguration5.5 KB —
joycaption-beta-one-q4-k-m/MANIFEST.jsonConfiguration679 B —
joycaption-beta-one-q5-k-m/MANIFEST.jsonConfiguration679 B —
joycaption-beta-one-q6-k/MANIFEST.jsonConfiguration677 B —
joytag/MANIFEST.jsonConfiguration834 B —
joytag/config.jsonConfiguration330 B —
pixai-tagger-v0-9/MANIFEST.jsonConfiguration1.1 KB —
pixai-tagger-v0-9/categories.jsonConfiguration128 B —
pixai-tagger-v0-9/meta.jsonConfiguration202 B —
pixai-tagger-v0-9/preprocess.jsonConfiguration557 B —
qwen3-embedding-0-6b/MANIFEST.jsonConfiguration1.2 KB —
qwen3-embedding-0-6b/config.jsonConfiguration1.6 KB —
qwen3-embedding-0-6b/special_tokens_map.jsonConfiguration613 B —
ram-plus-plus/MANIFEST.jsonConfiguration1.0 KB —
ram-plus-plus/preprocess.jsonConfiguration233 B —
siglip2-so400m-patch14-384/MANIFEST.jsonConfiguration1.4 KB —
siglip2-so400m-patch14-384/config.jsonConfiguration904 B —
siglip2-so400m-patch14-384/preprocessor_config.jsonConfiguration394 B —
siglip2-so400m-patch14-384/special_tokens_map.jsonConfiguration636 B —
wd-swinv2-tagger-v3/MANIFEST.jsonConfiguration634 B —
aesthetic-predictor-v2-5/LICENSEDocumentation34.5 KB —
birefnet-general/LICENSEDocumentation1.1 KB —
birefnet-lite/LICENSEDocumentation1.1 KB —
birefnet-toonout/LICENSEDocumentation1.2 KB —
camie-tagger-v2/LICENSEDocumentation35.8 KB —
dinov2-vit-l-14/LICENSEDocumentation11.8 KB —
distill-q-align-aesthetic-siglip2-base/LICENSEDocumentation11.5 KB —
distill-q-align-quality-siglip2-base/LICENSEDocumentation11.5 KB —
florence-2-base-ft/LICENSEDocumentation1.1 KB —
florence-2-large-ft/LICENSEDocumentation1.1 KB —
joycaption-beta-one-q4-k-m/LICENSEDocumentation12.8 KB —
joycaption-beta-one-q5-k-m/LICENSEDocumentation12.8 KB —
joycaption-beta-one-q6-k/LICENSEDocumentation12.8 KB —
joytag/LICENSEDocumentation10.8 KB —
pixai-tagger-v0-9/LICENSEDocumentation10.9 KB —
qwen3-embedding-0-6b/LICENSEDocumentation12.0 KB —
ram-plus-plus/CONVERSION_NOTES.mdDocumentation2.4 KB —
ram-plus-plus/LICENSEDocumentation11.2 KB —
siglip2-so400m-patch14-384/LICENSEDocumentation12.0 KB —
wd-swinv2-tagger-v3/LICENSEDocumentation10.8 KB —
joytag/tag_namespaces.txtOther51.9 KB —
joytag/top_tags.txtOther76.8 KB —
pixai-tagger-v0-9/selected_tags.csvOther596.9 KB —
pixai-tagger-v0-9/thresholds.csvOther55 B —
qwen3-embedding-0-6b/model_fp16.onnx_dataOther1.2 GB 06fbfded3016
ram-plus-plus/ram_tag_list.txtOther41.9 KB —
ram-plus-plus/ram_tag_list_threshold.txtOther22.0 KB —
siglip2-so400m-patch14-384/text_model.onnx_dataOther2.8 GB ab0cf5e72daf
wd-swinv2-tagger-v3/selected_tags.csvOther308.5 KB —
.gitattributesRepository2.3 KB —
florence-2-base-ft/tokenizer.jsonTokenizer2.3 MB —
florence-2-large-ft/tokenizer.jsonTokenizer2.3 MB —
qwen3-embedding-0-6b/tokenizer.jsonTokenizer11.4 MB def76fb08697
qwen3-embedding-0-6b/tokenizer_config.jsonTokenizer9.7 KB —
siglip2-so400m-patch14-384/tokenizer.jsonTokenizer34.4 MB cb9140fae3ac
siglip2-so400m-patch14-384/tokenizer_config.jsonTokenizer47.2 KB —

License and Download

License
Not stated by the source
Access
Open weights, no gate
Download size
30.4 GB
Download from SagaLore Softworks

Released by SagaLore Softworks through its official repository on Hugging Face.

Memory Requirements

PrecisionWeights in memory
As published30.4 GB

Weights only, from the published parameter count; the key-value cache and runtime add to this.