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jay

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new activity about 14 hours ago

huggingface/InferenceSupport:rednote-hilab/dots.llm1.inst

liked a Space 12 months ago

open-llm-leaderboard/open_llm_leaderboard

reacted to WizardLM's post with 🚀 about 1 year ago

🔥🔥🔥 Introducing WizardLM-2! 📙Release Blog: https://wizardlm.github.io/WizardLM2 ✅Model Weights: https://huggingface.co/collections/microsoft/wizardlm-661d403f71e6c8257dbd598a 🐦Twitter: https://twitter.com/WizardLM_AI/status/1779899325868589372 We introduce and opensource WizardLM-2, our next generation state-of-the-art large language models, which have improved performance on complex chat, multilingual, reasoning and agent. New family includes three cutting-edge models: WizardLM-2 8x22B, WizardLM-2 70B, and WizardLM-2 7B. WizardLM-2 8x22B is our most advanced model, and the best opensource LLM in our internal evaluation on highly complex tasks. WizardLM-2 70B reaches top-tier reasoning capabilities and is the first choice in the same size. WizardLM-2 7B is the fastest and achieves comparable performance with existing 10x larger opensource leading models. 🤗 WizardLM 2 Capacities: 1. MT-Bench (Figure-1) The WizardLM-2 8x22B even demonstrates highly competitive performance compared to the most advanced proprietary works such as GPT-4-Trubo and Glaude-3. Meanwhile, WizardLM-2 7B and WizardLM-2 70B are all the top-performing models among the other leading baselines at 7B to 70B model scales. 2. Human Preferences Evaluation (Figure 2) Through this human preferences evaluation, WizardLM-2's capabilities are very close to the cutting-edge proprietary models such as GPT-4-1106-preview, and significantly ahead of all the other open source models. 🔍Method Overview: As the natural world's human-generated data becomes increasingly exhausted through LLM training, we believe that: the data carefully created by AI and the model step-by-step supervised by AI will be the sole path towards more powerful AI. In the past one year, we built a fully AI powered synthetic training system. (As shown in the Figure 3).

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