外国网友在LocalLLaMA子Reddit板块中发帖,分享了4050亿参数的MetaLlama 3.1信息,从该AI模型在几个关键AI基准测试的结果来看,其性能超越目前的领先者,即OpenAI的GPT-4o,这标志着开源模型可能首次击败目前最先进的闭源LLM模型$昆仑万维(SZ300418)$
IT之家 7 月 23 日消息,网友在 LocalLLaMA 子 Reddit 板块中发帖,分享了 4050 亿参数的 Meta Llama 3.1 信息,从该 AI 模型在几个关键 AI 基准测试的结果来看,其性能超越目前的领先者(OpenAI 的 GPT-4o)。 这是开源人工智能社区的一个重要里程碑,标志着开源模型可能首次击败目前最先进的闭源 LLM 模型。 ...
摘录:不同内存推荐的本地LLM | reddit提问:Anything LLM, LM Studio, Ollama, Open WebUI,… how and where to even start as a beginner?链接摘录一则回答,来自网友Vitesh4:不同内存推荐的本地LLMLM Studio is super easy to get started with: Just install it, download a model and run it. There...
when running a 7B model on llama.cpp, adds up to ~181 MB for each LLM query. This is enough information to reconstruct the LLM response with high precision. The vulnerability highlights that many parts of the ML development stack have unknown security risks and have not been rig...
LeftoverLocals can leak ~5.5 MB per GPU invocation on an AMD Radeon RX 7900 XT which, when running a 7B model on llama.cpp, adds up to ~181 MB for each LLM query. This is enough information to reconstruct the LLM response with high precision. The vulnerability highlights that many parts...