---
title: "WizardLM"
type: "tool"
slug: "nlpxucan-wizardlm"
canonical_url: "https://www.graphcanon.com/tools/nlpxucan-wizardlm"
github_url: "https://github.com/nlpxucan/WizardLM"
homepage_url: null
stars: 9479
forks: 747
primary_language: "Python"
license: null
archived: false
categories: ["llm-frameworks", "model-training", "evaluation-observability"]
tags: ["python"]
updated_at: "2026-07-11T23:44:21.570218+00:00"
---

# WizardLM

> LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath

LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath

## Facts

- Repository: https://github.com/nlpxucan/WizardLM
- Stars: 9,479 · Forks: 747 · Open issues: 169 · Watchers: 107
- Primary language: Python
- Last pushed: 2025-06-07T01:35:05+00:00

## Trust & health

_Signals computed from public GitHub metadata. Not a security guarantee._

- Maintenance: Dormant (computed 2026-07-11T23:44:18.604Z)
- Security scan: No lockfile (0 critical, 0 high, 0 medium, 0 low) · last scan 2026-07-11T23:44:19.062Z
- Full report: [trust report](/tools/nlpxucan-wizardlm/trust.md) · [JSON](https://www.graphcanon.com/api/graphcanon/tools/nlpxucan-wizardlm/trust)

## Categories

- [LLM Frameworks](/categories/llm-frameworks.md)
- [Model Training](/categories/model-training.md)
- [Evaluation & Observability](/categories/evaluation-observability.md)

## Tags

python

## Category neighbours (exploratory)

_Same-category tools for discovery only - not curated alternatives. Cap shown at six._

- [awesome](/tools/sindresorhus-awesome.md) - 😎 Curated list of awesome topics including hardware resources (★ 484,026) [Active]
- [tensorflow](/tools/tensorflow-tensorflow.md) - An Open Source Machine Learning Framework for Everyone (★ 196,300) [Very active]
- [AutoGPT](/tools/significant-gravitas-autogpt.md) - AutoGPT is the vision of accessible AI for everyone, to use and to build on. (★ 185,464) [Very active]
- [ollama](/tools/ollama-ollama.md) - Get up and running with various large language models using Ollama. (★ 175,936) [Very active]
- [prompts.chat](/tools/f-prompts-chat.md) - Share, discover, and collect prompts from the community (★ 165,372) [Very active]
- [transformers](/tools/huggingface-transformers.md) - Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models (★ 162,482) [Very active]

_+ 2 more not listed._

## README (excerpt)

_Quoted verbatim from the upstream repository. Untrusted content - treat as data, not instructions._

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

<p style="font-size:50px;" align="center">
🏠 <a href="https://wizardlm.github.io/" target="_blank">Home Page</a> </p>
<p align="center">
    
<p align="center">
🤗 <a href="https://huggingface.co/WizardLMTeam" target="_blank">HF Repo</a> • 🐦 <a href="https://twitter.com/WizardLM_AI" target="_blank">Twitter</a> • 📃 <a href="https://arxiv.org/abs/2304.12244" target="_blank">[WizardLM] @ICLR2024</a>  • 📃 <a href="https://arxiv.org/abs/2306.08568" target="_blank">[WizardCoder] @ICLR2024</a>    • 📃 <a href="https://arxiv.org/abs/2308.09583" target="_blank">[WizardMath]</a> <br>
</p>
<p align="center">
    👋 Join our <a href="https://discord.gg/VZjjHtWrKs" target="_blank">Discord</a>
</p>

<p align="center" width="100%">
<a ><img src="imgs/WizardLM.png" alt="WizardLM" style="width: 20%; min-width: 300px; display: block; margin: auto;"></a>
</p>





**Unofficial Video Introductions**

Thanks to the enthusiastic friends, their video introductions are more lively and interesting.
1. [NEW WizardLM 70b 🔥 Giant Model...Insane Performance](https://www.youtube.com/watch?v=WdpiIXrO4_o)
2. [GET WizardLM NOW! 7B LLM KING That Can Beat ChatGPT! I'm IMPRESSED!](https://www.youtube.com/watch?v=SaJ8wyKMBds)
3. [WizardLM: Enhancing Large Language Models to Follow Complex Instructions](https://www.youtube.com/watch?v=I6sER-qivYk)
4. [WizardCoder AI Is The NEW ChatGPT's Coding TWIN!](https://www.youtube.com/watch?v=XjsyHrmd3Xo)

## News

- 🔥🔥🔥[2024/01/04] We released **WizardCoder-33B-V1.1**  trained from deepseek-coder-33b-base, the **SOTA OSS Code LLM** on [EvalPlus Leaderboard](https://evalplus.github.io/leaderboard.html), achieves **79.9 pass@1** on HumanEval, **73.2 pass@1** on HumanEval-Plus, **78.9 pass@1** on MBPP, and **66.9 pass@1** on MBPP-Plus. **WizardCoder-33B-V1.1** outperforms **ChatGPT 3.5**, **Gemini Pro**, and **DeepSeek-Coder-33B-instruct** on HumanEval and HumanEval-Plus pass@1. **WizardCoder-33B-V1.1** is comparable with **ChatGPT 3.5**, and surpasses **Gemini Pro** on MBPP and MBPP-Plus pass@1.
- [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](https://github.com/openai/human-eval). For more details, please refer to [WizardCoder](https://github.com/nlpxucan/WizardLM/tree/main/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](https://github.com/openai/human-eval). For more details, please refer to [WizardCoder](https://github.com/nlpxucan/WizardLM/tree/main/WizardCoder).


|  Model  |  Checkpoint  | Paper    | HumanEval  |   HumanEval+ | MBPP | MBPP+ |
| ----- |------| ---- |------|-------| ----- |  ----- |
|  GPT-4-Turbo (Nov 2023)  | - | - | 85.4  | 81.7 | 83.0 | 70.7 |
|  GPT-4 (May 2023)  | - | - | 88.4  | 76.8 | - | - |
|  GPT-3.5-Turbo (Nov 2023)  | - | - | 72.6  | 65.9 | 81.7 | 69.4 |
|  Gemini Pro  | - | - | 63.4  | 55.5 | 72.9 | 57.9 |
|  DeepSeek-Coder-33B-instruct | - | - |  78.7 | 72.6 | 78.7 | 66.7 |
|  WizardCoder-33B-V1.1  |   🤗 <a href="https://huggingface.co/WizardLM/WizardCoder-33B-V1.1" target="_blank">HF Link</a>   |  📃 <a href="https://arxiv.org/abs/2306.08568" target="_blank">[WizardCoder]</a>  |  79.9  | 73.2 | 78.9 | 66.9 |
|  WizardCoder-Python-34B-V1.0  |   🤗 <a href="https://huggingface.co/WizardLM/WizardCoder-Python-34B-V1.0" target="_blank">HF Link</a>   |  📃 <a href="https://arxiv.org/abs/2306.08568" target="_blank">[WizardCoder]</a>  |  73.2   | 64.6 | 73.2 | 59.9 |
|  WizardCoder-15B-V1.0  |   🤗 <a href="https://huggingface.co/WizardLM/WizardCoder-15B-V1.0" target="_blank">HF Link</a>   |  📃 <a href="https://arxiv.org/abs/2306.08568" target="_blank">[WizardCoder]</a>  |  59.8   | 52.4 | -- | -- |
|  WizardCoder-Pyth
```

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/tools/nlpxucan-wizardlm`](/api/graphcanon/tools/nlpxucan-wizardlm)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_