Stability AI just released StableVicuna-13B, billed as the first large-scale open-source chatbot fine-tuned using reinforcement learning from human feedback (RLHF). Built on Vicuna-13B and trained using trlX alongside open preference datasets from Anthropic and OpenAssistant, it brings the post-training playbook behind ChatGPT into open source. Weights are available on Hugging Face as a delta over original LLaMA weights.
Local LLMs just became real on everyday hardware. Thanks to Georgi Gerganov’s new llama.cpp and 4-bit quantization, Meta’s LLaMA can now run directly on personal laptops like a MacBook. It brings GPT-3-class capabilities straight to individual developers, breaking AI out of the corporate cloud garden.
Meta just launched LLaMA, a foundational large language model ranging from 7B to 65B parameters designed to run on far less computing power. The 13B version was trained on 1 trillion tokens, aiming to give academic researchers a lightweight foundation to study model biases and toxicity. For now, access is strictly limited to noncommercial research use.
