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Why We're Building Lit-LLaMA - Lightning AI
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Lightning AI ⚡️ on X: "Last week, we discussed techniques to speed up the training speed of large language models🔥💨 How about saving memory during inference? 🧠💾 Check out int8 & int4
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lit-llama/howto/train_redpajama.md at main · Lightning-AI/lit-llama · GitHub
GitHub - Lightning-AI/lit-llama: Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.
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Aniket Maurya on LinkedIn: Finetune Llama 2 in 4 steps using Lightning AI Lit-GPT 🔥 Get started here…
GitHub - Lightning-AI/lit-llama: Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.
Why Developers Are Flocking to LLaMA, Meta's Open Source LLM - The New Stack
The Ultimate Battle of Language Models: Lit-LLaMA vs GPT3.5 vs Bloom vs … - Lightning AI : r/GPTForFounders
Lightning AI ⚡️ on X: "Lit-LLaMA + OpenLLaMA = optimized training and finetuning with no commercial restrictions Get started in 5 minutes ➡️ https://t.co/VcukVxz8AF #MachineLearning #LLMs #AI https://t.co/xFAZIN4vyy" / X