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Source channel @githubtrending · Post #15432 · Jan 23

#jupyter_notebook#chinese_llm#chinese_nlp#finetune#generative_ai#instruct_gpt#instruction_set#llama#llm#lora#open_models#open_source#open_source_models#qlora AirLLM is a tool that lets you run very large AI models on computers with limited memory by using a smart layer-by-layer loading technique instead of traditional compression methods. You can run a 70-billion-parameter model on just 4GB of GPU memory, or even a 405-billion-parameter model on 8GB, without losing model quality. The benefit is that you can use powerful AI models on affordable hardware without expensive upgrades, and the tool also offers optional compression features that can speed up performance by up to 3 times while maintaining accuracy. https://github.com/lyogavin/airllm

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Google Facts™ [ ️@googlefactss🌎]

@googlefactss · Post #40993 · 04/30/2026, 01:37 AM

Crickets can be used to estimate temperature using Dolbear’s Law. The snowy tree cricket is the best species for this method because its chirp rate closely matches temperature changes. 🦗 Count chirps in 14 seconds and add 40 to estimate the temperature in °F. Crickets chirp faster in warm weather and slower in cold because they are cold-blooded. 🌡️ To estimate temperature in °C, count chirps in 8 seconds and add 5. This method is fairly accurate between 5 and 30°C. 🌡️ To convert °F to °C, subtract 32 and multiply by 0.56. 🥵🥶🦗🌡️ [Read more] @googlefactss #Insects#ScienceFacts#Nature#DidYouKnow#celsius#Fahrenheit If you have ideas or feedback contact us: @Googlefactss_Feedback_bot