与「Yam」相关的搜索结果

Fine-tuning massive LLMs used to be painfully slow, but not anymore! 4 open source libraries that accelerate fine-tuning of Large Language Models 1. Unsloth AI • Fine-tune models like Qwen3, Llama 4, and Gemma 3 up to 2× faster with 70% less VRAM • Uses optimized Triton kernels and manual backprop for exact accuracy • Supports low-resource setups and runs on consumer GPUs or even Colab/Kaggle with ~3 GB VRAM GitHub repo → 2. LLaMA Factory • Fine-tune over 100 models (LLaMA, Mistral, Gemma, etc.) using a simple CLI or WebUI • Supports LoRA, QLoRA, full or frozen fine-tuning across 2–8‑bit precision • Includes built-in dataset templates, training monitors, and model export options GitHub repo → 3. DeepSpeed • Built for large-scale distributed fine-tuning with ZeRO and FSDP • Optimized for multi-GPU and multi-node training with advanced memory management • Trusted in production environments for scalable LLM training GitHub repo → 4. Axolotl • Yaml-based setup for fine-tuning, LoRA/QLoRA, DPO, GRPO, and multimodal workflows • Includes kernel optimizations for memory-efficient training • Actively maintained with support for Hugging Face, model export, and inference GitHub repo →

做渗透测试的时候，常用命令太多记不住，每次都要翻笔记或者搜索查找，效率比较低。 于是找到 arsenal-ng，一个终端里的渗透命令速查启动器，内置 238 个工具、2830 条命令，开箱即用。 打开就是一个交互式界面，输入关键词模糊搜索，选中后命令直接填到终端里，改改参数就能执行。 GitHub： 还有个全局变量功能，设一次目标 IP，后面所有命令里的 IP 参数都会自动填好，省去反复输入。 命令模板还支持默认值，常用参数不用每次都改。想扩充自己的命令库也简单，写个 YAML 文件丢进去就行。

YAMAHAにてグランドピアノの 選定をしてきました〜！！！ 3台のピアノから選んだよ♡ 音色が全然違うの分かるかな🥹🎹 どの子にしたでしょう？🥰

Japan's Prime Minister briefed her country with wet hair last night. Beijing would have detained the citizen who filmed it. At 10:29 p.m. on Friday, a magnitude 5.6 earthquake struck Japan's Yamanashi Prefecture, registering a maximum seismic intensity of lower 6 in the town of Fujikawaguchiko at the foot of Mount Fuji. By 11:15 p.m. — forty-six minutes later — Prime Minister Sanae Takaichi was standing at the Prime Minister's Office briefing the nation. Crisis management center activated. Director-general-level emergency gathering team convened. Human life first. Information to the public, promptly and accurately. She was also visibly straight out of the bath. Hair still wet. No makeup. Takaichi posted on her own X account a short time later, in plain language: she had come directly from the bath without time to dry her hair or apply makeup, and apologized for her appearance. She did not have to volunteer that detail. She chose to. That choice is the story. Because somewhere about 1,700 miles to the west, operating under the same physics but a very different political philosophy, the first hour after a magnitude 5.6 earthquake would have looked nothing like this. It would not have been spent activating a crisis center, dispatching emergency teams, and putting the head of government in front of cameras to admit she had rushed straight out of the shower. It would have been spent deciding what to tell the public, what to delete, and which citizen with a camera to detain. We know because we have watched it happen. In Wuhan in early 2020, the doctors who tried to warn the world about a novel coronavirus were summoned by police and forced to sign confessions for "spreading rumors." The citizen journalists who filmed the morgues and the sealed apartment doors — Chen Qiushi, Fang Bin, Li Zehua — were disappeared by the state. Fang Bin would later be sentenced to three years in prison; he was held for the duration. In Zhengzhou in July 2021, passengers drowned trapped in a flooded subway tunnel while state propaganda ran headlines about heroic rescue. When BBC correspondent Robin Brant asked the local government how a metro system less than a decade old could leave passengers to die on a platform, the Henan branch of the Communist Youth League posted his whereabouts to its 1.6 million followers and called for people to track him down. Death threats followed within hours. In Hebei in August 2023, when the floodwaters from Typhoon Doksuri had to go somewhere, authorities diverted them away from Beijing and into Zhuozhou — and the Hebei provincial Party Secretary, Ni Yuefeng, publicly declared the province would "serve as a moat for the capital." Videos of the submerged villages disappeared from Chinese social media within hours. And in Sichuan in 2008, after a magnitude 8.0 earthquake killed at least 5,335 schoolchildren in school buildings that collapsed while government offices nearby remained standing — what citizens named "tofu-dreg schoolhouses" — the writer Tan Zuoren tried to compile a list of the dead. He was sentenced to five years in prison. Huang Qi, the activist who tried to help the parents, got three years; in 2019, the Party gave him twelve more on state-secrets charges. He is still inside. The pattern is not a series of accidents. It is a system. In the People's Republic of China, the function of the state in a disaster is not to serve the public. It is to protect the Party from the public. Compare and contrast. In Tokyo on Friday night, the head of government decided that telling the country what she knew, forty-six minutes after the ground stopped shaking, mattered more than how her hair looked. In Beijing under any equivalent scenario, the head of government would not be at a podium for hours, or days. The citizens with cameras would already be on a list. Wet hair is not the real headline. Wet hair is the headline because of what it accidentally exposes: a democracy is a system that runs toward its citizens in the dark. A dictatorship is a system that hides from them. Sanae Takaichi did not need to apologize for her hair. The Chinese Communist Party owes apologies it will never make, to families whose dead it never named. ACI — Aric Chen | Insights

【MV公開】 PixAI『夏を灯る残火』特別MV「NesT CAMP」公開中！ 公開記念イベント — 総額 82,500円分 現金報酬+Snow Peak チタン製オーロラボトル＋6,000,000PixAIクレジット ▼ 楽曲情報 タイトル：NesT CAMP ボーカル：TRUE (@miho_karasawa) 作詞：唐沢美帆 作曲：yamazo（@yamazoo） 編曲：yamazo アニメーション: M-ACG Studio & PixAI Animation Team ▼ YouTube