--- license: llama2 --- ## WizardLM: Empowering Large Pre-Trained Language Models to Follow Complex Instructions

🤗 HF Repo • 🐦 Twitter • 📃 [WizardLM] • 📃 [WizardCoder]

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| ^Model | ^Checkpoint | ^Paper |^MT-Bench | ^AlpacaEval | ^GSM8k | ^HumanEval | ^License| | ----- |------| ---- |------|-------| ----- | ----- | ----- | | ^{**WizardLM-70B-V1.0**} | ^{🤗 HF Link}|^{📃**Coming Soon**}| ^**7.78** | ^**92.91%** |^**77.6%** | ^{**50.6 pass@1**}|^{Llama 2 License} | | ^{WizardLM-13B-V1.2} | ^{🤗 HF Link}| | ^7.06 | ^89.17% |^55.3% | ^{36.6 pass@1}|^{Llama 2 License} | | ^{WizardLM-13B-V1.1} |^{🤗 HF Link} | | ^6.76 |^86.32% | | ^{25.0 pass@1}| ^{Non-commercial}| | ^{WizardLM-30B-V1.0} | ^{🤗 HF Link} | | ^7.01 | | | ^{37.8 pass@1}| ^{Non-commercial} | | ^{WizardLM-13B-V1.0} | ^{🤗 HF Link} | | ^6.35 | ^75.31% | | ^{24.0 pass@1} | ^{Non-commercial}| | ^{WizardLM-7B-V1.0}| ^{🤗 HF Link} |^{📃 [WizardLM]}| | | |^{19.1 pass@1}|^{Non-commercial}| | ^{WizardCoder-15B-V1.0} | ^{🤗 HF Link} | ^{📃 [WizardCoder]} | | ||^{57.3 pass@1} | ^OpenRAIL-M | - 🔥🔥🔥 [08/09/2023] We released **WizardLM-70B-V1.0** model. **Github Repo**: https://github.com/nlpxucan/WizardLM **Twitter**: https://twitter.com/WizardLM_AI/status/1689270108747976704 **Discord**: https://discord.gg/bpmeZD7V ❗Note for model system prompts usage: WizardLM adopts the prompt format from Vicuna and supports **multi-turn** conversation. The prompt should be as following: ``` A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. USER: hello, who are you? ASSISTANT: ``` ❗To commen concern about dataset: Recently, there have been clear changes in the open-source policy and regulations of our overall organization's code, data, and models. Despite this, we have still worked hard to obtain opening the weights of the model first, but the data involves stricter auditing and is in review with our legal team . Our researchers have no authority to publicly release them without authorization. Thank you for your understanding.