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open_llama

OpenLLaMA, a permissively licensed open source reproduction of Meta AI’s LLaMA 7B trained on the RedPajama dataset

semantic-segmentation-pytorch

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

Popularity
Repository stars7,517Highest5,088
7-day net stars——
Fork4011,094Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2023-07-162024-01-15
Maintenance notesNot verifiedNot verified
Repository created2023-04-282017-10-07
License & use
LicenseApache-2.0 · PermissiveBSD-3-Clause · Permissive
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeDatabases & dataDatabases & data
TypeDatasets & evaluationsDatasets & evaluations
SubcategoryText datasetsText datasets
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check current official software, hosting, model and infrastructure pricing.
Pricing source——
First collected2026-11-032026-11-03
MetricRepository stars, not unique users or individual-skill installsRepository stars, not unique users or individual-skill installs
Language—Python
About this projectOpenLLaMA, a permissively licensed open source reproduction of Meta AI’s LLaMA 7B trained on the RedPajama datasetPytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
Measured at2026-11-03 08:24 UTC2026-11-03 09:35 UTC

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