WizardCoder
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A to Z
- A · App
- No
- B · Built By
- Microsoft/Community
- C · CEO & Politics
- [UNKNOWN]
- D · Date
- 2023
- E · Expertise
- Intermediate+
- F · Free Tier
- Yes
- G · Generates
- Text only
- H · Deployment
- Cloud + Local (open weights)
- I · Inputs
- Text
- J · Jurisdiction
- USA
- K · Key Staffers
- Ziyang Luo (Co-lead author), Can Xu (Co-lead author), Jing Ma (Corresponding author), Daxin Jiang (Corresponding author)
- L · Languages
- English-primary
- M · Model Type
- Code LLM
- N · Safety Issues
- None reported
- O · Open Source
- Yes — open weights
- P · Pricing
- Free (open weights; 15B BigScience OpenRAIL-M, Python-34B Llama 2)
- Q · AIDb Rating
- [UNKNOWN]
- R · What Makes It Special
- WizardCoder, code LLMs fine-tuned with complex instructions by adapting the Evol-Instruct method to code; its authors reported it beat all other open-source code LLMs by a wide margin on HumanEval, HumanEval+, MBPP and DS-1000, and outperformed Anthropic's Claude and Google's Bard on HumanEval and HumanEval+ at release.
- S · Stock / Status
- Research / open-source project
- T · Training Cutoff
- [UNKNOWN]
- U · Users
- [UNKNOWN]
- V · Voice Chat
- No
- W · Weights
- Downloadable
- X · X Handle
- @WizardLM_AI
- Y · Year Founded
- [UNKNOWN]
- Z · Bottom Line
- Open-weights Code LLM from Microsoft/Community, released 2023.
Data completeness 81% · Last verified 2026-05-12 · Primary source ↗
Cite this
“WizardCoder.” AIDb — The AI Database. Verified 2026-05-12. https://theaidatabase.com/m/wizardcoder.html