WizardLMTeam/WizardLM-70B-V1.0

Model

234

stars

47

commits

2

repos using this model

4

linked in READMEs

Nov 26, 2023

updated

endpoints_compatible

llama

pytorch

text-generation

text-generation-inference

transformers

Browse cluster: Large Language Model Training & Inference →

README

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

🤗 HF Repo •🐱 Github Repo • 🐦 Twitter • 📃 [WizardLM] • 📃 [WizardCoder] • 📃 [WizardMath]

👋 Join our Discord

Unofficial Video Introductions

Thanks to the enthusiastic friends, their video introductions are more lively and interesting.

News

🔥🔥🔥[2023/08/26] We released WizardCoder-Python-34B-V1.0 , which achieves the 73.2 pass@1 and surpasses GPT4 (2023/03/15), ChatGPT-3.5, and Claude2 on the HumanEval Benchmarks. For more details, please refer to WizardCoder.
[2023/06/16] We released WizardCoder-15B-V1.0 , which surpasses Claude-Plus (+6.8), Bard (+15.3) and InstructCodeT5+ (+22.3) on the HumanEval Benchmarks. For more details, please refer to WizardCoder.

Model	Checkpoint	Paper	HumanEval	MBPP	Demo	License
WizardCoder-Python-34B-V1.0	🤗 HF Link	📃 [WizardCoder]	73.2	61.2	Demo	Llama2
WizardCoder-15B-V1.0	🤗 HF Link	📃 [WizardCoder]	59.8	50.6	--	OpenRAIL-M
WizardCoder-Python-13B-V1.0	🤗 HF Link	📃 [WizardCoder]	64.0	55.6	--	Llama2
WizardCoder-Python-7B-V1.0	🤗 HF Link	📃 [WizardCoder]	55.5	51.6	Demo	Llama2
WizardCoder-3B-V1.0	🤗 HF Link	📃 [WizardCoder]	34.8	37.4	--	OpenRAIL-M
WizardCoder-1B-V1.0	🤗 HF Link	📃 [WizardCoder]	23.8	28.6	--	OpenRAIL-M

🔥 [08/11/2023] We release WizardMath Models.
🔥 Our WizardMath-70B-V1.0 model slightly outperforms some closed-source LLMs on the GSM8K, including ChatGPT 3.5, Claude Instant 1 and PaLM 2 540B.
🔥 Our WizardMath-70B-V1.0 model achieves 81.6 pass@1 on the GSM8k Benchmarks, which is 24.8 points higher than the SOTA open-source LLM.
🔥 Our WizardMath-70B-V1.0 model achieves 22.7 pass@1 on the MATH Benchmarks, which is 9.2 points higher than the SOTA open-source LLM.

Model	Checkpoint	Paper	GSM8k	MATH	Online Demo	License
WizardMath-70B-V1.0	🤗 HF Link	📃 [WizardMath]	81.6	22.7	Demo	Llama 2
WizardMath-13B-V1.0	🤗 HF Link	📃 [WizardMath]	63.9	14.0	Demo	Llama 2
WizardMath-7B-V1.0	🤗 HF Link	📃 [WizardMath]	54.9	10.7	Demo	Llama 2

^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}

🔥🔥🔥 [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: Hi ASSISTANT: Hello.</s>USER: Who are you? ASSISTANT: I am WizardLM.</s>......

Inference WizardLM Demo Script

We provide the inference WizardLM demo code here.

Please cite the paper if you use the data or code from WizardLM.

@article{xu2023wizardlm,
  title={Wizardlm: Empowering large language models to follow complex instructions},
  author={Xu, Can and Sun, Qingfeng and Zheng, Kai and Geng, Xiubo and Zhao, Pu and Feng, Jiazhan and Tao, Chongyang and Jiang, Daxin},
  journal={arXiv preprint arXiv:2304.12244},
  year={2023}
}

❗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.

Contributors

37 commits

6 commits

3 commits

1 commits

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WizardLMTeam/WizardLM-70B-V1.0

Model

234

stars

47

commits

2

repos using this model

4

linked in READMEs

Nov 26, 2023

updated

endpoints_compatible

llama

pytorch

text-generation

text-generation-inference

transformers

Browse cluster: Large Language Model Training & Inference →

README

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

🤗 HF Repo •🐱 Github Repo • 🐦 Twitter • 📃 [WizardLM] • 📃 [WizardCoder] • 📃 [WizardMath]

👋 Join our Discord

Unofficial Video Introductions

Thanks to the enthusiastic friends, their video introductions are more lively and interesting.

News

🔥🔥🔥[2023/08/26] We released WizardCoder-Python-34B-V1.0 , which achieves the 73.2 pass@1 and surpasses GPT4 (2023/03/15), ChatGPT-3.5, and Claude2 on the HumanEval Benchmarks. For more details, please refer to WizardCoder.
[2023/06/16] We released WizardCoder-15B-V1.0 , which surpasses Claude-Plus (+6.8), Bard (+15.3) and InstructCodeT5+ (+22.3) on the HumanEval Benchmarks. For more details, please refer to WizardCoder.

Model	Checkpoint	Paper	HumanEval	MBPP	Demo	License
WizardCoder-Python-34B-V1.0	🤗 HF Link	📃 [WizardCoder]	73.2	61.2	Demo	Llama2
WizardCoder-15B-V1.0	🤗 HF Link	📃 [WizardCoder]	59.8	50.6	--	OpenRAIL-M
WizardCoder-Python-13B-V1.0	🤗 HF Link	📃 [WizardCoder]	64.0	55.6	--	Llama2
WizardCoder-Python-7B-V1.0	🤗 HF Link	📃 [WizardCoder]	55.5	51.6	Demo	Llama2
WizardCoder-3B-V1.0	🤗 HF Link	📃 [WizardCoder]	34.8	37.4	--	OpenRAIL-M
WizardCoder-1B-V1.0	🤗 HF Link	📃 [WizardCoder]	23.8	28.6	--	OpenRAIL-M

🔥 [08/11/2023] We release WizardMath Models.
🔥 Our WizardMath-70B-V1.0 model slightly outperforms some closed-source LLMs on the GSM8K, including ChatGPT 3.5, Claude Instant 1 and PaLM 2 540B.
🔥 Our WizardMath-70B-V1.0 model achieves 81.6 pass@1 on the GSM8k Benchmarks, which is 24.8 points higher than the SOTA open-source LLM.
🔥 Our WizardMath-70B-V1.0 model achieves 22.7 pass@1 on the MATH Benchmarks, which is 9.2 points higher than the SOTA open-source LLM.

Model	Checkpoint	Paper	GSM8k	MATH	Online Demo	License
WizardMath-70B-V1.0	🤗 HF Link	📃 [WizardMath]	81.6	22.7	Demo	Llama 2
WizardMath-13B-V1.0	🤗 HF Link	📃 [WizardMath]	63.9	14.0	Demo	Llama 2
WizardMath-7B-V1.0	🤗 HF Link	📃 [WizardMath]	54.9	10.7	Demo	Llama 2

^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}

🔥🔥🔥 [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: Hi ASSISTANT: Hello.</s>USER: Who are you? ASSISTANT: I am WizardLM.</s>......

Inference WizardLM Demo Script

We provide the inference WizardLM demo code here.

Please cite the paper if you use the data or code from WizardLM.

@article{xu2023wizardlm,
  title={Wizardlm: Empowering large language models to follow complex instructions},
  author={Xu, Can and Sun, Qingfeng and Zheng, Kai and Geng, Xiubo and Zhao, Pu and Feng, Jiazhan and Tao, Chongyang and Jiang, Daxin},
  journal={arXiv preprint arXiv:2304.12244},
  year={2023}
}

❗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.

Similar repos

WizardLM/WizardLM-70B-V1.0

234

shared contributors

WizardLMTeam/WizardLM-13B-V1.2

221

shared contributors

WizardLMTeam/WizardMath-7B-V1.0

54

shared contributors

WizardLMTeam/WizardMath-70B-V1.0

125

shared contributors

WizardLMTeam/WizardCoder-15B-V1.0

762

shared contributors

WizardLM/WizardCoder-15B-V1.0

762

shared contributors

nlpxucan/WizardLM

LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath

9,482

WizardLMTeam/WizardLM-13B-V1.0

76

Used in code

evaleval/every_eval_ever

Every Eval Ever is a shared schema and crowdsourced eval database. It defines a standardized…

112

tenstorrent/tt-forge-models

14

Linked in READMEs

openai/grade-school-math

hendrycks/math

openai/human-eval

nlpxucan/WizardLM

LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath

9,482

Contributors

37 commits

6 commits

3 commits

1 commits