Note
This is a replica of the official repository, intended solely for research purposes to replicate results. If there are any copyright issues, please contact me.
The WizardLM delta weights.
WizardLM: Empowering Large Pre-Trained Language Models to Follow Complex Instructions
π€ HF Repo β’ π¦ Twitter β’ π [WizardLM] β’ π [WizardCoder] β’ π [WizardMath]
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Model | Checkpoint | Paper | HumanEval | MBPP | Demo | License |
---|---|---|---|---|---|---|
WizardCoder-Python-34B-V1.0 | π€ HF Link | π [WizardCoder] | 73.2 | 61.2 | Demo | Llama2 |
WizardCoder-15B-V1.0 | π€ HF Link | π [WizardCoder] | 59.8 | 50.6 | -- | OpenRAIL-M |
WizardCoder-Python-13B-V1.0 | π€ HF Link | π [WizardCoder] | 64.0 | 55.6 | -- | Llama2 |
WizardCoder-3B-V1.0 | π€ HF Link | π [WizardCoder] | 34.8 | 37.4 | Demo | OpenRAIL-M |
WizardCoder-1B-V1.0 | π€ HF Link | π [WizardCoder] | 23.8 | 28.6 | -- | OpenRAIL-M |
Model | Checkpoint | Paper | GSM8k | MATH | Online Demo | License |
---|---|---|---|---|---|---|
WizardMath-70B-V1.0 | π€ HF Link | π [WizardMath] | 81.6 | 22.7 | Demo | Llama 2 |
WizardMath-13B-V1.0 | π€ HF Link | π [WizardMath] | 63.9 | 14.0 | Demo | Llama 2 |
WizardMath-7B-V1.0 | π€ HF Link | π [WizardMath] | 54.9 | 10.7 | Demo | Llama 2 |
Model | Checkpoint | Paper | MT-Bench | AlpacaEval | WizardEval | HumanEval | License |
---|---|---|---|---|---|---|---|
WizardLM-13B-V1.2 | π€ HF Link | 7.06 | 89.17% | 101.4% | 36.6 pass@1 | Llama 2 License | |
WizardLM-13B-V1.1 | π€ HF Link | 6.76 | 86.32% | 99.3% | 25.0 pass@1 | Non-commercial | |
WizardLM-30B-V1.0 | π€ HF Link | 7.01 | 97.8% | 37.8 pass@1 | Non-commercial | ||
WizardLM-13B-V1.0 | π€ HF Link | 6.35 | 75.31% | 89.1% | 24.0 pass@1 | Non-commercial | |
WizardLM-7B-V1.0 | π€ HF Link | π [WizardLM] | 78.0% | 19.1 pass@1 | Non-commercial | ||
Inference WizardLM Demo Script
We provide the inference WizardLM demo code here.