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download_model

Syntologyentry name in harvested coderead from the graph 2026-09-24

download_model appears in the code Syntology harvested for 24 papers, as 9 distinct code bodies found in 24 places (a place is one code body under one paper). At least one of them ran in 0 of the papers; 0 of the code bodies carry a behaviour fingerprint.

What this page is not. Routines are grouped here by the exact string of their function or class name. Nothing asserts that two samples named download_model do the same thing, share code, or are comparable; the name is a string, not an identity. Behaviour outputs (what a fingerprinted sample returned on the shared battery) are not in this export and are not shown here; the graph at syntology.ai holds them. "Ran" means executed on a synthesized fixture, not that the code is correct or reproduces a paper.

Samples Syntology

Syntology ran 0 of the 9 distinct code bodies named download_model; 9 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
0ran
9unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 10 of the 24 places are pointer only (Syntology does not serve that copy's text). This site shows no code text for any sample; every row below links to the file in its repository where the record names one.

“Ran” means the sample executed on a synthesized input; it does not mean the output is correct. “Honoured” and “violated” refer to a contract Syntology drafted from the code itself; “our draft was wrong” and “fixture could not drive it” are failures of Syntology's instrument, not of the code, and those samples did run. The ran count above is every status except unverified, the same rule as each paper page.

Papers

24 papers shown of 24, newest first; 24 places in the table. A paper with no recorded date is placed by the month its arXiv id encodes, shown in the Date column as YYYY-MM (from id). One row per place: a paper whose repository defines the name more than once appears more than once, and the same code body held for several papers appears once under each, with the same status. Titles and dates are the archive's archive 2025-07-28 for papers in the archive, and the graph's for 4 papers added by Syntology; 1 papers have no page here and are shown by arXiv id only. Status and fingerprint are Syntology's record of each code body; licence is recorded for each place. The File cell ends with the code body's code_sha256, Syntology's identity for that exact code: an agent fetches the stored sample with Syntology's MCP tool get_code(code_sha256="…") (how to connect); click an identity to copy that call.

PaperDateFileStatus SyntologyLicence
TAME: Temporal-Aware Mixture-of-Experts for Text-Video Retrieval added by Syntology 2026-09 (from id) sejong-rcv/TAME/modules/module_clip_moe_TAME.py 1cd9a569d3043ec8 unverified no licence file found · pointer only
Rethinking Dataset Distillation for Classification: Do Distilled Sets Outperform Coresets? added by Syntology 2026-06 (from id) AyushRoy2001/ManifoldGD/download.py 6a0d5ecd441905cc unverified no licence file found · pointer only
Moonshine v2: Ergodic Streaming Encoder ASR for Latency-Critical Speech Applications added by Syntology 2026-02 (from id) SYSTRAN/faster-whisper/faster_whisper/utils.py bd84f59797ba624b unverified MIT (permissive)
Draw-In-Mind: Rebalancing Designer-Painter Roles in Unified Multimodal Models Benefits Image Editing added by Syntology 2025-09 (from id) showlab/DIM/models/utils/download.py d0929a67889d1b71 unverified licence not identified · pointer only
arXiv:2507.09391 2025-07 (from id) peterpaohuang/ncgn/adaptations/DiT_dmp/download.py 6a0d5ecd441905cc unverified MIT (permissive)
CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation 27 Jun 2025 hatchetproject/cao2/download.py 6a0d5ecd441905cc unverified no licence file found · pointer only
Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising 7 Dec 2024 vainf/remix-dit/download.py 6a0d5ecd441905cc unverified no licence file found · pointer only
UniScene: Unified Occupancy-centric Driving Scene Generation 6 Dec 2024 arlo0o/uniscene-unified-occupancy-centric-driving-scene-generation/occupancy_gen/download.py 5db549980f2a6e09 unverified Apache-2.0 (permissive)
TinyFusion: Diffusion Transformers Learned Shallow 2 Dec 2024 vainf/tinyfusion/download.py 6a0d5ecd441905cc unverified no licence file found · pointer only
Towards Stabilized and Efficient Diffusion Transformers through Long-Skip-Connections with Spectral Constraints 26 Nov 2024 opensparsellms/skip-dit/class-to-image/download.py 6a0d5ecd441905cc unverified Apache-2.0 (permissive)
DiMSUM: Diffusion Mamba -- A Scalable and Unified Spatial-Frequency Method for Image Generation 6 Nov 2024 vinairesearch/dimsum/dimsum/download.py da2f24ae53c99117 unverified BSD-3-Clause (permissive)
Dynamic Diffusion Transformer 4 Oct 2024 nus-hpc-ai-lab/dynamic-diffusion-transformer/download.py 6a0d5ecd441905cc unverified no licence file found · pointer only
HarmoniCa: Harmonizing Training and Inference for Better Feature Caching in Diffusion Transformer Acceleration 2 Oct 2024 modeltc/harmonica/download.py 6a0d5ecd441905cc unverified Apache-2.0 (permissive)
FlowTurbo: Towards Real-time Flow-Based Image Generation with Velocity Refiner 26 Sep 2024 shiml20/FlowTurbo/download.py bea8b7f1f4c6354b unverified MIT (permissive)
Playground v3: Improving Text-to-Image Alignment with Deep-Fusion Large Language Models 16 Sep 2024 yuchuantian/u-dit/download.py 6a0d5ecd441905cc unverified no licence file found · pointer only
DiTAS: Quantizing Diffusion Transformers via Enhanced Activation Smoothing 12 Sep 2024 DZY122/DiTAS/download.py 6a0d5ecd441905cc unverified MIT (permissive)
LaMamba-Diff: Linear-Time High-Fidelity Diffusion Models Based on Local Attention and Mamba 5 Aug 2024 yunxiangfu2001/lamamba-diff/download.py 6a0d5ecd441905cc unverified MIT (permissive)
Scaling Diffusion Transformers to 16 Billion Parameters 16 Jul 2024 feizc/dit-moe/download.py 6a0d5ecd441905cc unverified no licence file found · pointer only
FORA: Fast-Forward Caching in Diffusion Transformer Acceleration 1 Jul 2024 prathebaselva/fora/src/download.py 6a0d5ecd441905cc unverified no licence file found · pointer only
Switch Diffusion Transformer: Synergizing Denoising Tasks with Sparse Mixture-of-Experts 14 Mar 2024 byeongjun-park/Switch-DiT/download.py 6a0d5ecd441905cc unverified MIT (permissive)
SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers 16 Jan 2024 willisma/sit/download.py bea8b7f1f4c6354b unverified MIT (permissive)
Cap4Video: What Can Auxiliary Captions Do for Text-Video Retrieval? 31 Dec 2022 whwu95/Cap4Video/modules/module_clip.py 1cd9a569d3043ec8 unverified MIT (permissive)
Can we learn from developer mistakes? Learning to localize and repair real bugs from real bug fixes 1 Jul 2022 cedricrupb/nbfbaselines/nbfbaselines/utils.py 01d60c8ad17b5931 unverified MIT (permissive)
FastText.zip: Compressing text classification models 12 Dec 2016 zafercavdar/fasttext-langdetect/src/ftlangdetect/detect.py c0cfe33b609d38fd unverified MIT (permissive)

This site shows no code text; each File cell links to the file on GitHub at the repository's current default branch, which may have changed since the harvest. "Pointer only" means Syntology does not serve that copy's text, for one of four reasons: no licence file was found; the licence was not identified; the licence is recorded as permissive but that copy's record is not marked cleared; or the licence is outside the permissive list Syntology serves text under (MIT, Apache-2.0, BSD and similar). Some licences outside that list permit redistribution, such as WTFPL, and GPL-3.0 under its conditions; they are simply not on the list. Hover a licence cell for the reason. Per-sample records for a paper are on its paper page under "Code Syntology ran".

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