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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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Telegram android theming variable guide

@Theming_variable_guide · Post #73 · 07/10/2022, 10:49 AM

these variables also change many other areas! 👉Info if the color does not change #ces chat_inVoiceSeekBar #inp chat_inPreviewInstantText #ini chat_inInstant #r_b avatar_BackgroundRed avatar_backgroundOrange avatar_backgroundViolet avatar_backgroundGreen avatar_backgroundCyan avatar_backgroundBlue avatar_backgroundPink

Libertà è ragione

@libertaeragione · Post #3951 · 09/12/2023, 10:58 AM

#Elezioni#Norvegia#Locali Risultati definitivi: Affluenza: 62,2% #H|EPP: 25,9% #Ap|S&D: 21,7% #FrP|Destra: 11,4% #Sp|Centro ruralista: 8,2% #SV|Sinistra: 6,8% #V|RE: 5% #MDG|G/EFA: 4,1% #KrF|EPP: 4% #R|Estrema sinistra: 3,5% #INP|Destra populista: 3% #Pensjonistpartiet|Pensionati: 1,5% #ND|Destra: 0,5% #K|Destra cristiana: 0,5% #Sentrum|Ecologisti di centro: 0,4% #Lib|Destra libertaria: 0,2% #FNB|Anti-pedaggi: 0,2% #NKP|INITIATIVE: 0,05% #Alliansen|Estrema destra: 0,04% #Kystpartiet|Centro-destra ruralista regionalista: 0,02% #Árja|Centro Sámi: 0,01% #SáB|Minoranza Sámi: 0% @OsservatorioEsteri