You may have an art style you want to put in Stable Diffusion. Or you want to generate aconsistent facein multiple images. Or it’s just fun to learn something new! In this post, you will learn how to train your own LoRA models using a Google Colab notebook. So, you don’t need ...
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AN5406 Application note How to build a LoRa® application with STM32CubeWL Introduction This application note guides the user through all the steps required to build specific LoRa® applications based on STM32WL Series microcontrollers. LoRa® is a type of wireless telecommunication ...
model RLHF with DPO in 4-bit with Lora: https://github.com/huggingface/trl/blob/main/examples/research_projects/stack_llama_2/scripts/dpo_llama2.py LLama 1 model RLHF with PPO in 4-bit with Lora: https://github.com/huggingface/trl/tree/main/examples/research_projects/stack_llama/scripts...
Low-Rank Adaptation of Large Language Models (LoRA) is a method used to accelerate the process of training large models while consuming less memory. Here's how it works: Freezing existing weights. Imagine the model as a complex web of interconnected nodes (these are the "weights"). Normally...
lora_alpha=16, target_modules=["query", "value"], lora_dropout=0.1, bias="none", modules_to_save=["classifier"], ) lora_model = get_peft_model(model, config) import numpy as np import torch import evaluate from transformers import TrainingArguments, Trainer # LoRA configuration #lora_mod...
tuned the Qwen-Vl model using LoRA, and I have the saved checkpoints like the following: However, I do not know how to load the Lora weights and then do the inference based on the models's updated weights with LoRA. I sawthis answer, where for example, ...
repo_id = "/content/model.ckpt" pipe = StableDiffusionPipeline.from_single_file( repo_id, torch_dtype=torch.float16, use_karras_sigmas=True, algorithm_type="sde-dpmsolver++" ) pipe.to('cuda') pipe.load_lora_weights(".", weight_name="/content/model/lora/model-lora.safetensors") imag...
Alpaca LoRA Python Implementation We will create a Python environment to run Alpaca-Lora on our local machine. You need a GPU to run that model. It cannot run on the CPU (or outputs very slowly). If you use the 7B model, at least 12GB of RAM is required or higher if you use 13B ...
LoRa Short forLongRange, LoRa is a spread spectrum modulation technique derived from chirp spread spectrum technology. It features long-range, low-power, and secure data transmission for your IoT applications. For example, they can be used to connect sensors, gateways, machines, devices, and even...