Fading Coder

One Final Commit for the Last Sprint

Fine-Tuning Gemma Models with Hugging Face and Parameter-Efficient Methods

Google DeepMind's Gemma language models are available with open weights on Hugging Face. The family includes 2B and 7B parameter variants, offered in both pre-trained and instruction-tuned versions. These models are supported on the Hugging Face platform and can be deployed and fine-tuned on service...

Integrating SX1278-Based LoRa Communication with STM32 Using CubeMX

LoRa is a physical-layer wireless modulation technique based on linear frequency-modulated spread spectrum. It extends communication range while retaining the low-power characteristics of traditional frequency-shift keying (FSK). By spreading the baseband signal over a wider bandwidth, it enables ro...

Integrating and Deploying LORA Fine-Tuned ChatGLM3-6B Models Locally

Local Model Deployment First, acquire the ChatGLM3-6B model. It can be downloaded from its GitHub repository or the Hugging Face Hub. After downloading, set up a Python virtual environment and install the necessary dependencies. LORA Fine-Tuning Dataset Preparation Construct a dataset in a conversat...