Skyrim – Open-source Large Weather Model (LWM) Zoo
Hi HN, I'm Efe from Secondlaw AI. We are building physics-informed large AI models. Currently, we are focusing on weather modelling. To benchmark SOTA, we had to build a forecasting infra for all available large weather models and we could not find a solid tooling to do so, so we built Skyrim. Within <5 mins and <5 LOC you can run forecasts on par with global weather models that are run on 100K+ CPU HPCs! We are implementing more models & fine-tuning capabilities. Let us know if anything more we can add, also happy to answer any questions!
Skyrim – Open-source Large Weather Model (LWM) Zoo launched on May 7, 2024 with 19 votes, #873 of 4,539 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 2 years on.
In plain words
Skyrim is an open-source framework for running large weather forecasting models with minimal setup. Developed by Secondlaw AI, it allows users to execute weather predictions comparable to those from massive supercomputing systems using just a few lines of code in under five minutes. The tool provides infrastructure to benchmark multiple state-of-the-art weather models and includes plans for additional models and fine-tuning capabilities. It is designed for researchers and developers working with weather prediction AI.
written from the facts on this page · September 2026
From the sources
🌎 🤝 AI weather models united. Contribute to secondlaw-ai/skyrim development by creating an account on GitHub.
Does a similar job
all alternatives →
- WSWebGL simulation of rainy autumn day/evening2020 · pluvoir.netlify.app · ▲393
TensorZero2025 · github.com · ▲307Hi HN! We're Gabriel & Viraj, and we're excited to open source TensorZero. To be a little cheeky, TensorZero is an open-source platform that helps LLM applications graduate from API wrappers into defensible AI products. 1. Integrate our model gateway 2. Send metrics or feedback 3. Unlock compounding improvements in quality, cost, and latency It enables a data & learning flywheel for LLMs by unifying: • Inference: one API for all LLMs, with <1ms P99 overhead • Observability: inference & feedback → your database • Optimization: better prompts, models, inference strategies • Experimentation:…
SelfHostLLM2025 · selfhostllm.org · ▲134A simple calculator that estimates how many concurrent requests your GPU can handle for a given LLM, with shareable results.
- WMWe made glhf.chat – run almost any open-source LLM, including 405B2024 · glhf.chat · ▲161
Try it out! https://glhf.chat/ Hey HN! We’ve been working for the past few months on a website to let you easily run (almost) any open-source LLM on autoscaling GPU clusters. It’s free for now while we figure out how to price it, but we expect to be cheaper than most GPU offerings since we can run the models multi-tenant. Unlike Together AI, Fireworks, etc, we’ll run any model that the open-source vLLM project supports: we don’t have a hardcoded list. If you want a specific model or finetune, you don’t have to ask us for it: you can just paste the Hugging Face link in and…
More ai this month
the category →
Paintings by AI models: programs run through a simulation of oil paint.
AI · 21d ago · stillwet.art
FastRouter.ai▲364Route requests to the right LLM for cost, latency & quality
AI · 23d ago · fastrouter.ai
Source: Show HN post ↗
