ggml.ai 加入 Hugging Face 以确保本地 AI 的长期发展
📄 中文摘要
Georgi Gerganov 在本地模型领域的影响力不可小觑。2023年3月，他发布的 llama.cpp 使得在消费级硬件上运行本地 LLM 成为可能。该项目的主要目标是能够在 MacBook 上使用 4 位量化运行模型。尽管开发过程相对快速，Gerganov 对于其正确性仍表示不确定。ggml.ai 的加入 Hugging Face，标志着对本地 AI 进展的长期承诺，预示着未来在本地 AI 领域的更多创新和发展。此举将进一步推动本地 AI 技术的普及和应用，促进开发者和用户之间的合作与交流。
📄 English Summary
ggml.ai joins Hugging Face to ensure the long-term progress of Local AI
Georgi Gerganov has significantly impacted the local model space. In March 2023, he released llama.cpp, enabling the execution of local LLMs on consumer hardware. The main goal was to run the model using 4-bit quantization on a MacBook, a process that was completed in a single evening, though Gerganov expressed uncertainty about its correctness. ggml.ai's partnership with Hugging Face signifies a long-term commitment to advancing local AI, indicating potential for further innovation and development in this field. This collaboration is expected to enhance the accessibility and application of local AI technologies, fostering cooperation and communication among developers and users.
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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等