# Models, Page 351 of 477 Source: https://savrn.com/models/page/351 Markdown alternate of the page above; the site index is https://savrn.com/llms.txt --- SAVRN Model Hub # Open-Weight Models An open-weight model is an AI model whose trained weights are published for anyone to download. The weights are what the model learned in training. With a copy of them you can run the model on hardware you control and train it further on your own data. Open weights are not the same as open source. Many publishers release the weights without the training data or code, and the license sets what you may do with the model. This library puts each model's full card, architecture, files, license and published evaluations on one page. 11,442Models 3,247Datasets 285Papers 6,976Publishers 12,091Sourced relationships Updated 2026-10-19 · [How the library is built](https://savrn.com/model-hub/methodology) ## Filter Models Task - [Text generation1,413](https://savrn.com/models?task=Text+generation) - [Image and text to text512](https://savrn.com/models?task=Image+and+text+to+text) - [Feature extraction341](https://savrn.com/models?task=Feature+extraction) - [Robotics338](https://savrn.com/models?task=Robotics) - [Text classification303](https://savrn.com/models?task=Text+classification) - [Text to image209](https://savrn.com/models?task=Text+to+image) - [Speech recognition171](https://savrn.com/models?task=Speech+recognition) - [Audio classification157](https://savrn.com/models?task=Audio+classification) - [Image classification137](https://savrn.com/models?task=Image+classification) - [Text to speech132](https://savrn.com/models?task=Text+to+speech) - [Sentence similarity103](https://savrn.com/models?task=Sentence+similarity) - [Token classification97](https://savrn.com/models?task=Token+classification) - [Reinforcement learning93](https://savrn.com/models?task=Reinforcement+learning) - [Zero-shot classification93](https://savrn.com/models?task=Zero-shot+classification) - [Image segmentation88](https://savrn.com/models?task=Image+segmentation) - [Object detection86](https://savrn.com/models?task=Object+detection) - [Any to any79](https://savrn.com/models?task=Any+to+any) - [Translation78](https://savrn.com/models?task=Translation) - [Question answering73](https://savrn.com/models?task=Question+answering) - [Fill mask69](https://savrn.com/models?task=Fill+mask) - [Time series forecasting64](https://savrn.com/models?task=Time+series+forecasting) - [Video classification59](https://savrn.com/models?task=Video+classification) - [Image to text58](https://savrn.com/models?task=Image+to+text) - [Text to video55](https://savrn.com/models?task=Text+to+video) Library - [transformers2,777](https://savrn.com/models?library=transformers) - [peft345](https://savrn.com/models?library=peft) - [diffusers187](https://savrn.com/models?library=diffusers) - [pytorch178](https://savrn.com/models?library=pytorch) - [gguf167](https://savrn.com/models?library=gguf) - [lerobot139](https://savrn.com/models?library=lerobot) - [sentence-transformers139](https://savrn.com/models?library=sentence-transformers) - [mlx136](https://savrn.com/models?library=mlx) - [timm49](https://savrn.com/models?library=timm) - [transformers.js45](https://savrn.com/models?library=transformers.js) - [flaxspeaker44](https://savrn.com/models?library=flaxspeaker) - [llama.cpp44](https://savrn.com/models?library=llama.cpp) - [vllm38](https://savrn.com/models?library=vllm) - [onnx36](https://savrn.com/models?library=onnx) - [diffusion-single-file27](https://savrn.com/models?library=diffusion-single-file) - [minimax-h324](https://savrn.com/models?library=minimax-h3) - [ultralytics24](https://savrn.com/models?library=ultralytics) - [PaddleOCR22](https://savrn.com/models?library=PaddleOCR) - [openvino18](https://savrn.com/models?library=openvino) - [coreml17](https://savrn.com/models?library=coreml) - [exllamav316](https://savrn.com/models?library=exllamav3) - [openpi16](https://savrn.com/models?library=openpi) - [litert15](https://savrn.com/models?library=litert) - [rkllm15](https://savrn.com/models?library=rkllm) Modality - [Other6,473](https://savrn.com/models?modality=Other) - [Text2,612](https://savrn.com/models?modality=Text) - [Image and text570](https://savrn.com/models?modality=Image+and+text) - [Image565](https://savrn.com/models?modality=Image) - [Audio478](https://savrn.com/models?modality=Audio) - [Control431](https://savrn.com/models?modality=Control) - [Video114](https://savrn.com/models?modality=Video) - [Multimodal79](https://savrn.com/models?modality=Multimodal) - [Time series64](https://savrn.com/models?modality=Time+series) - [Tabular56](https://savrn.com/models?modality=Tabular) License - [apache-2.03,105](https://savrn.com/models?license=apache-2.0) - [mit1,246](https://savrn.com/models?license=mit) - [other703](https://savrn.com/models?license=other) - [cc-by-nc-4.0193](https://savrn.com/models?license=cc-by-nc-4.0) - [cc-by-4.0148](https://savrn.com/models?license=cc-by-4.0) - [bsd-3-clause98](https://savrn.com/models?license=bsd-3-clause) - [gemma62](https://savrn.com/models?license=gemma) - [cc-by-nc-sa-4.049](https://savrn.com/models?license=cc-by-nc-sa-4.0) - [llama3.240](https://savrn.com/models?license=llama3.2) - [agpl-3.032](https://savrn.com/models?license=agpl-3.0) - [llama3.128](https://savrn.com/models?license=llama3.1) - [unknown27](https://savrn.com/models?license=unknown) - [cc-by-sa-4.020](https://savrn.com/models?license=cc-by-sa-4.0) - [gpl-3.017](https://savrn.com/models?license=gpl-3.0) - [openrail++17](https://savrn.com/models?license=openrail%2B%2B) - [openmdw-1.115](https://savrn.com/models?license=openmdw-1.1) - [llama314](https://savrn.com/models?license=llama3) - [openrail14](https://savrn.com/models?license=openrail) - [cc-by-nc-nd-4.013](https://savrn.com/models?license=cc-by-nc-nd-4.0) - [creativeml-openrail-m11](https://savrn.com/models?license=creativeml-openrail-m) - [afl-3.07](https://savrn.com/models?license=afl-3.0) - [llama27](https://savrn.com/models?license=llama2) - [osl-3.06](https://savrn.com/models?license=osl-3.0) - [cc0-1.04](https://savrn.com/models?license=cc0-1.0) Access - [Open weights11,087](https://savrn.com/models?access=open_access) - [Access requested at publisher355](https://savrn.com/models?access=gated) Publisher - [Team Mradermacher294](https://savrn.com/models?publisher=mradermacher) - [Yurun Yuan95](https://savrn.com/models?publisher=ryanyr) - [RunningHub.ai94](https://savrn.com/models?publisher=runninghubai) - [Qwen91](https://savrn.com/models?publisher=qwen) - [Jenny Wilson81](https://savrn.com/models?publisher=jenny08311) - [RKNNAI73](https://savrn.com/models?publisher=rknnai) - [AI at Meta72](https://savrn.com/models?publisher=facebook) - [Jessen Pu69](https://savrn.com/models?publisher=putty77) - [Convergent Intelligence66](https://savrn.com/models?publisher=reaperdoesntknow) - [Google64](https://savrn.com/models?publisher=google) - [Yurun Yuan63](https://savrn.com/models?publisher=yurunyyr) - [Firza Hadzami61](https://savrn.com/models?publisher=firzahdzm) - [Zeyuan Yang59](https://savrn.com/models?publisher=miiche) - [Yanggangu57](https://savrn.com/models?publisher=yanggangu) - [Hongao56](https://savrn.com/models?publisher=cisco1963) - [Francesca Padovani53](https://savrn.com/models?publisher=francesca9805) - [Wang49](https://savrn.com/models?publisher=davidwdw) - [Microsoft48](https://savrn.com/models?publisher=microsoft) - [Yurun Yuan48](https://savrn.com/models?publisher=yuruny) - [NVIDIA46](https://savrn.com/models?publisher=nvidia) - [Khazzz1c44](https://savrn.com/models?publisher=khazic) - [Quan44](https://savrn.com/models?publisher=wq2012) - [BAAR43](https://savrn.com/models?publisher=aixk) - [Christopher Subia-Waud42](https://savrn.com/models?publisher=cwaud) [Most downloaded](https://savrn.com/models?sort=downloads)[Most liked](https://savrn.com/models?sort=likes)[Recently updated](https://savrn.com/models?sort=updated)[Name](https://savrn.com/models?sort=name)[Largest](https://savrn.com/models?sort=params) 11,442 models, sorted by most downloaded. Model ### [koyal-ml-120m-1.0-ONNX](https://savrn.com/models/koyal-ml-120m-1-0-onnx) [Nothing](https://savrn.com/model-publishers/trysem) Open weights [View model](https://savrn.com/models/koyal-ml-120m-1-0-onnx) Model · Image segmentation ### [kraken-genizah-segmenter](https://savrn.com/models/kraken-genizah-segmenter) [Isaac Godfried](https://savrn.com/model-publishers/isaacmg) A kraken 7 baseline-segmentation model fine-tuned on Cairo Genizah manuscript pages — the first Genizah-specific segmenter we know of that is publicly available. Recognition models for these hands exist (the MiDRASH project published its recognizers on Zenodo), but line segmentation is where a generic model loses most of the text on Genizah fragments: tight columns, damaged edges, script far larger than the segmenter was trained on, marginal glosses and rotated scans. This model closes a large part of that gap. 10.5281/zenodo.22879549, Apache-2.0), a general print-and-handwriting segmenter trained on Latin, Arabic and Greek script corpora. Cairo Genizah, drawn from the KTIV project of the… Open weights apache-2.0 [View model](https://savrn.com/models/kraken-genizah-segmenter) Model ### [krea-2_model](https://savrn.com/models/krea-2-model) [Kerstal](https://savrn.com/model-publishers/kerstal) Krea 2 model (covering both the Krea 2 Raw and Krea 2 Turbo variants) is released under a custom Krea 2 Community License Agreement for its weights, alongside an Apache-2.0 license for the inference code repository itself. For removal please contact me directly. All rights remain with their respective creators. By downloading or using any model from this repository, you acknowledge that: - You are solely responsible for how the model is used. - The repository maintainer assumes no responsibility or liability for any content generated by these models. - Krea AI, the original model authors (when applicable), and the repository maintainer cannot be held liable for misuse, illegal activities… Open weights apache-2.0 [View model](https://savrn.com/models/krea-2-model) Model ### [krea2-core](https://savrn.com/models/krea2-core) [Foo Bar](https://savrn.com/model-publishers/beatit) Open weights [View model](https://savrn.com/models/krea2-core) Model ### [krea2-dom](https://savrn.com/models/krea2-dom) [Foo Bar](https://savrn.com/model-publishers/beatit) Open weights [View model](https://savrn.com/models/krea2-dom) Model ### [krea2-lora-stack](https://savrn.com/models/krea2-lora-stack) [HF hfh3488tiqb7](https://savrn.com/model-publishers/hfh3488tiqb7) Open weights [View model](https://savrn.com/models/krea2-lora-stack) Model ### [krea2-loras](https://savrn.com/models/krea2-loras-2) [Micah](https://savrn.com/model-publishers/nobodyatalliguess) Adult-only (21+) content. Unmodified mirrors of Krea 2 LoRAs, sha256 matches the Civitai originals. Open weights [View model](https://savrn.com/models/krea2-loras-2) Model ### [krea2-milf](https://savrn.com/models/krea2-milf) [Foo Bar](https://savrn.com/model-publishers/beatit) Open weights [View model](https://savrn.com/models/krea2-milf) Model · Text to image ### [krea2-particle-sliders](https://savrn.com/models/krea2-particle-sliders) [Ntc](https://savrn.com/model-publishers/ntc-ai) Final Boss and Eldritch, with original rank-16 LoRAs and compressed rank-8 distills. Use strength 1 for the calibrated effect. Same prompt, seed and sampler across each comparison. Built on jimmycarter/krea2-turbo-bbox, epoch-14-step-73184/transformer. These are ordinary attention LoRAs. The originals were trained directly as LoRAs; the distills compress those linear adapters. All images below are AI-generated, 768 × 768, 8 steps, guidance 0, mu=1.15. Each comparison states its seed and keeps it fixed across Original, Distill and Off. They were rendered from the released files, with no external alpha multiplier. A plain research robot becomes a heavier, battle-worn machine with a more… Open weights other diffusers [View model](https://savrn.com/models/krea2-particle-sliders) Model ### [krea2-turbo-1024](https://savrn.com/models/krea2-turbo-1024) [Adwolf Saint Czar](https://savrn.com/model-publishers/adwolfczar) Open weights [View model](https://savrn.com/models/krea2-turbo-1024) Model ### [krea2_7sins](https://savrn.com/models/krea2-7sins) [Anonymoooo](https://savrn.com/model-publishers/sevunx) Open weights [View model](https://savrn.com/models/krea2-7sins) Model ### [krea2rorasmvp](https://savrn.com/models/krea2rorasmvp) [JaimeZulimar](https://savrn.com/model-publishers/geraldozulimar) Open weights [View model](https://savrn.com/models/krea2rorasmvp) Model ### [krloapl](https://savrn.com/models/krloapl) [JaimeZulimar](https://savrn.com/model-publishers/geraldozulimar) Open weights [View model](https://savrn.com/models/krloapl) Model · Text to image ### [kroma-v0.3.1-turbo-opd-int8-convrot-learned](https://savrn.com/models/kroma-v0-3-1-turbo-opd-int8-convrot-learned) [Ac](https://savrn.com/model-publishers/cicalooo) Learned INT8 ConvRot diffusion model for ComfyUI. Quantized from lodestones/Kroma (kroma-v0.3.1-turbo-opd). This model follows the Krea 2 Community License (krea-2-community-license), same as the source lodestones/Kroma / base Krea/Krea-2. Review the license terms before use or redistribution. Open weights other [View model](https://savrn.com/models/kroma-v0-3-1-turbo-opd-int8-convrot-learned) Model · Robotics ### [kt-20261011-20260919_eval_base5k_test-6c95b8b4](https://savrn.com/models/kt-20261011-20260919-eval-base5k-test-6c95b8b4) [Han Nu Ri Kim](https://savrn.com/model-publishers/morealcholplz) Original server folder: /home/work/mntvol/runs/nuripi05robottt/20260919evalbase5ktest. Restore the contents of payload/ to that path. Contains the original experimental checkpoint/configuration/result files, including resume state when present. This is an archival snapshot, not a claim of evaluation success or an inference-ready standard model. Credentials, external links, caches and opaque tracking/profiling files are excluded and listed in BACKUPMANIFEST.json. Keep the manifest and final verification receipt. No model training or inference was performed for this backup. GR00T derivatives remain subject to the included NVIDIA research/evaluation-only license. Upstream pi/openpi and… Open weights [View model](https://savrn.com/models/kt-20261011-20260919-eval-base5k-test-6c95b8b4) Model · Robotics ### [kt-20261011-20260919_eval_base5k_val-1e1c040f](https://savrn.com/models/kt-20261011-20260919-eval-base5k-val-1e1c040f) [Han Nu Ri Kim](https://savrn.com/model-publishers/morealcholplz) Original server folder: /home/work/mntvol/runs/nuripi05robottt/20260919evalbase5kval. Restore the contents of payload/ to that path. Contains the original experimental checkpoint/configuration/result files, including resume state when present. This is an archival snapshot, not a claim of evaluation success or an inference-ready standard model. Credentials, external links, caches and opaque tracking/profiling files are excluded and listed in BACKUPMANIFEST.json. Keep the manifest and final verification receipt. No model training or inference was performed for this backup. GR00T derivatives remain subject to the included NVIDIA research/evaluation-only license. Upstream pi/openpi and… Open weights [View model](https://savrn.com/models/kt-20261011-20260919-eval-base5k-val-1e1c040f) Model · Robotics ### [kt-20261011-20260920_eval_fastweight_ablation_val-5d5c2286](https://savrn.com/models/kt-20261011-20260920-eval-fastweight-ablation-val-5d5c2286) [Han Nu Ri Kim](https://savrn.com/model-publishers/morealcholplz) Original server folder: /home/work/mntvol/runs/nuripi05robottt/20260920evalfastweightablationval. Restore the contents of payload/ to that path. Contains the original experimental checkpoint/configuration/result files, including resume state when present. This is an archival snapshot, not a claim of evaluation success or an inference-ready standard model. Credentials, external links, caches and opaque tracking/profiling files are excluded and listed in BACKUPMANIFEST.json. Keep the manifest and final verification receipt. No model training or inference was performed for this backup. GR00T derivatives remain subject to the included NVIDIA research/evaluation-only license. Upstream pi/openpi… Open weights [View model](https://savrn.com/models/kt-20261011-20260920-eval-fastweight-ablation-val-5d5c2286) Model · Robotics ### [kt-20261011-20260920_eval_position_control_val-c006ee84](https://savrn.com/models/kt-20261011-20260920-eval-position-control-val-c006ee84) [Han Nu Ri Kim](https://savrn.com/model-publishers/morealcholplz) Original server folder: /home/work/mntvol/runs/nuripi05robottt/20260920evalpositioncontrolval. Restore the contents of payload/ to that path. Contains the original experimental checkpoint/configuration/result files, including resume state when present. This is an archival snapshot, not a claim of evaluation success or an inference-ready standard model. Credentials, external links, caches and opaque tracking/profiling files are excluded and listed in BACKUPMANIFEST.json. Keep the manifest and final verification receipt. No model training or inference was performed for this backup. GR00T derivatives remain subject to the included NVIDIA research/evaluation-only license. Upstream pi/openpi and… Open weights [View model](https://savrn.com/models/kt-20261011-20260920-eval-position-control-val-c006ee84) Model · Robotics ### [kt-20261011-20260920_eval_warm80_plus5k_test-f09506cc](https://savrn.com/models/kt-20261011-20260920-eval-warm80-plus5k-test-f09506cc) [Han Nu Ri Kim](https://savrn.com/model-publishers/morealcholplz) Original server folder: /home/work/mntvol/runs/nuripi05robottt/20260920evalwarm80plus5ktest. Restore the contents of payload/ to that path. Contains the original experimental checkpoint/configuration/result files, including resume state when present. This is an archival snapshot, not a claim of evaluation success or an inference-ready standard model. Credentials, external links, caches and opaque tracking/profiling files are excluded and listed in BACKUPMANIFEST.json. Keep the manifest and final verification receipt. No model training or inference was performed for this backup. GR00T derivatives remain subject to the included NVIDIA research/evaluation-only license. Upstream pi/openpi and… Open weights [View model](https://savrn.com/models/kt-20261011-20260920-eval-warm80-plus5k-test-f09506cc) Model · Robotics ### [kt-20261011-20260921_eval_h16_seed42_repeat_val-456741cf](https://savrn.com/models/kt-20261011-20260921-eval-h16-seed42-repeat-val-456741cf) [Han Nu Ri Kim](https://savrn.com/model-publishers/morealcholplz) Original server folder: /home/work/mntvol/runs/nuripi05robottt/20260921evalh16seed42repeatval. Restore the contents of payload/ to that path. Contains the original experimental checkpoint/configuration/result files, including resume state when present. This is an archival snapshot, not a claim of evaluation success or an inference-ready standard model. Credentials, external links, caches and opaque tracking/profiling files are excluded and listed in BACKUPMANIFEST.json. Keep the manifest and final verification receipt. No model training or inference was performed for this backup. GR00T derivatives remain subject to the included NVIDIA research/evaluation-only license. Upstream pi/openpi and… Open weights [View model](https://savrn.com/models/kt-20261011-20260921-eval-h16-seed42-repeat-val-456741cf) Model · Robotics ### [kt-20261011-20260921_eval_h16_seeds_repeat_val-2d3383c6](https://savrn.com/models/kt-20261011-20260921-eval-h16-seeds-repeat-val-2d3383c6) [Han Nu Ri Kim](https://savrn.com/model-publishers/morealcholplz) Original server folder: /home/work/mntvol/runs/nuripi05robottt/20260921evalh16seedsrepeatval. Restore the contents of payload/ to that path. Contains the original experimental checkpoint/configuration/result files, including resume state when present. This is an archival snapshot, not a claim of evaluation success or an inference-ready standard model. Credentials, external links, caches and opaque tracking/profiling files are excluded and listed in BACKUPMANIFEST.json. Keep the manifest and final verification receipt. No model training or inference was performed for this backup. GR00T derivatives remain subject to the included NVIDIA research/evaluation-only license. Upstream pi/openpi and… Open weights [View model](https://savrn.com/models/kt-20261011-20260921-eval-h16-seeds-repeat-val-2d3383c6) Model · Robotics ### [kt-20261011-20260921_eval_h16_seeds_val-fd23a73a](https://savrn.com/models/kt-20261011-20260921-eval-h16-seeds-val-fd23a73a) [Han Nu Ri Kim](https://savrn.com/model-publishers/morealcholplz) Original server folder: /home/work/mntvol/runs/nuripi05robottt/20260921evalh16seedsval. Restore the contents of payload/ to that path. Contains the original experimental checkpoint/configuration/result files, including resume state when present. This is an archival snapshot, not a claim of evaluation success or an inference-ready standard model. Credentials, external links, caches and opaque tracking/profiling files are excluded and listed in BACKUPMANIFEST.json. Keep the manifest and final verification receipt. No model training or inference was performed for this backup. GR00T derivatives remain subject to the included NVIDIA research/evaluation-only license. Upstream pi/openpi and… Open weights [View model](https://savrn.com/models/kt-20261011-20260921-eval-h16-seeds-val-fd23a73a) Model · Robotics ### [kt-20261011-20261001_demo_semantics_credit-960c09f9](https://savrn.com/models/kt-20261011-20261001-demo-semantics-credit-960c09f9) [Han Nu Ri Kim](https://savrn.com/model-publishers/morealcholplz) Original server folder: /home/work/mntvol/runs/nuripi05robottt/20261001demosemanticscredit. Restore the contents of payload/ to that path. Contains the original experimental checkpoint/configuration/result files, including resume state when present. This is an archival snapshot, not a claim of evaluation success or an inference-ready standard model. Credentials, external links, caches and opaque tracking/profiling files are excluded and listed in BACKUPMANIFEST.json. Keep the manifest and final verification receipt. No model training or inference was performed for this backup. GR00T derivatives remain subject to the included NVIDIA research/evaluation-only license. Upstream pi/openpi and… Open weights [View model](https://savrn.com/models/kt-20261011-20261001-demo-semantics-credit-960c09f9) Model · Robotics ### [kt-20261011-20261005_control80_vlmfrozen_actionexpert_ttt80_v1-70082451](https://savrn.com/models/kt-20261011-20261005-control80-vlmfrozen-actionexpert-ttt80-v1-70082451) [Han Nu Ri Kim](https://savrn.com/model-publishers/morealcholplz) Original server folder: /home/work/mntvol/runs/nuripi05robottt/20261005control80vlmfrozenactionexpertttt80v1. Restore the contents of payload/ to that path. Contains the original experimental checkpoint/configuration/result files, including resume state when present. This is an archival snapshot, not a claim of evaluation success or an inference-ready standard model. Credentials, external links, caches and opaque tracking/profiling files are excluded and listed in BACKUPMANIFEST.json. Keep the manifest and final verification receipt. No model training or inference was performed for this backup. GR00T derivatives remain subject to the included NVIDIA research/evaluation-only license.… Open weights [View model](https://savrn.com/models/kt-20261011-20261005-control80-vlmfrozen-actionexpert-ttt80-v1-70082451) ## Model Collections Hand-picked starting points, each with the reason it exists. Collection · 4 entries ### [Embedding models for retrieval](https://savrn.com/collections/embedding-models-for-retrieval) Sentence and document embedding models used to build retrieval systems. Dimension and sequence length matter more than size here, and both come from the publisher. [View collection](https://savrn.com/collections/embedding-models-for-retrieval) Collection · 4 entries ### [Models that fit on one accelerator](https://savrn.com/collections/models-that-run-on-one-accelerator) Models whose publisher-reported parameter count puts them within reach of a single accelerator at common precisions. Memory needed depends on precision and serving configuration, so treat the parameter count as the starting point, not the answer. [View collection](https://savrn.com/collections/models-that-run-on-one-accelerator) Collection · 6 entries ### [Open-weight text models worth knowing](https://savrn.com/collections/open-weight-text-models-worth-knowing) Widely used open-weight language models, chosen because each one is a distinct family rather than a variant of the one above it. Selection, not a ranking. [View collection](https://savrn.com/collections/open-weight-text-models-worth-knowing) Collection · 3 entries ### [Speech and audio models](https://savrn.com/collections/speech-and-audio) Recognition and synthesis models, grouped so the two directions are easy to compare. [View collection](https://savrn.com/collections/speech-and-audio) ## Open-Weight Models Explained ### What is an open-weight model? An AI model whose trained weights are published for anyone to download, so it can be run, tested and fine-tuned on hardware the user controls. ### Is an open-weight model the same as open source? Not always. Open weights means the trained model can be downloaded. Open source usually also means the training code and data are available and the license allows broad reuse. Many open-weight models release the weights only. ### Can I use an open-weight model commercially? It depends on the license. Apache 2.0 and MIT allow commercial use. Other licenses limit it, for example to non-commercial use or below a set number of users. Every model page here shows its license. ### How much memory does an open-weight model need? About two bytes per parameter at 16-bit precision, so a 7-billion-parameter model needs roughly 14 GB for its weights, plus memory for the context it processes. Each model page lists its parameter count and the size of its files. ## Related SAVRN Research The hub sits beside SAVRN's market data and infrastructure research: what models cost to run, and what it takes to run them. SAVRN Index ### [What open models cost to run](https://savrn.com/ai-index/pricing/open-models) The same open-weight model priced by every host that serves it, per million tokens. Research Hub ### [Data center trackers and maps](https://savrn.com/data-center-research) Moratoriums, permits, power, water and capital behind the facilities that run these models. Method ### [How the Model Hub is built](https://savrn.com/model-hub/methodology) Sources, evidence labels, refresh behaviour, and the limits of every comparison here.