#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
⚡️Los Rays en sus últimas 4 series:
Barreda de 3-0 contra los Twins
Victoria de la serie de 2-1 contra los Guardians
Barreda de 3-0 contra los Giants
Barreda de 3-0 contra los Blue Jays
Tampa Bay está en una racha ganadora ☀️
#Rays
🗞 | t.me/MLB_Daily
⚡️🦐 Según se informa, el lanzador derecho Nick Martinez y los Rays han llegado a un acuerdo de contrato por un año.
#️⃣#Rays#NMartínez
🗞 | t.me/MLB_Daily
💥💱 𝑻𝑹𝑨𝑫𝑬 𝑨𝑳𝑬𝑹𝑻 💱💥
🦤 Orioles reciben a:
⚡️ RHP Shane Baz
⚡️ Rays reciben a:
⚾️ OF Slater de Brun (Prospecto #6 de Orioles)
⚾️ C Caden Bodine (Prospecto #10 de Orioles)
🧢 RHP Michael Forret (Prospecto #11 de Orioles)
⚾️ OF Austin Overn (Prospecto #30 de Orioles)
- una selección de la Ronda A de Equilibrio Competitivo
#️⃣#Trade#Orioles#Rays#Baz#DeBrun#Bodine#Forret#Overn
🗞 | t.me/MLB_Daily