Home/LLM Frameworks/WizardLM

WizardLM

nlpxucan/WizardLM

Empowering Large Pre-Trained Language Models to Follow Complex Instructions

GitHub

GraphCanon updated 3w · GitHub synced 3w

9.5k stars749 forksLast push 1y Python

Decision brief

WizardLM powers language models like WizardCoder and WizardMath to excel in complex instruction handling.

Good fit when

When advanced coding tasks need precise solutions, surpassing GPT-3.5-Turbo and Gemini Pro
For math-related queries, when needing superior performance over benchmarks

Avoid when

If real-time updates are needed beyond Nov 2023, as performance is based on past benchmarks
When looking for broad language capabilities of GPT-4, which outperformance in some benchmarks

Observed Jul 17, 2026 · Source: enrich:decision_facts

WizardLM alternatives Trust report

Verify the decision

Maintenance and security

Full trust report

Maintenance: Dormant (424d since push); As of 3w
Provenance: Not a fork · Personal account; As of 3w
Security (OSV): No lockfile; As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install WizardLM

PyPI

Similar tools

Same-category neighbours. No typed graph edges are catalogued for this tool yet.

litgpt

High-performance LLMs with recipes for pretraining, finetuning and deployment

14k★

gorilla

Training and Evaluating LLMs for Function Calls (Tool Calls)

13k★

awesome-LLM-resources

Summary of the world's best LLM resources.

8.8k★

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

WizardLM builds upon the Evol Instruct framework and includes models like WizardCoder and WizardMath designed for enhanced instruction-following abilities.

Capability facts

Languages: python
Source: github.language · Aug 5, 2026

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Aug 5, 2026)

- [2023/08/26] We released **WizardCoder-Python-34B-V1.0** , which achieves the **73.2 pass@1** and surpasses **GPT4 (2023/03/1

Source link

Works with ChatGPTChatGPT

Source: README excerpt (regex_v1, Aug 5, 2026)

2. [GET WizardLM NOW! 7B LLM KING That Can Beat ChatGPT! I'm IMPRESSED!](https://www.youtube.com/watch?v=SaJ8wyKMBds)

Source link

README

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

🏠 Home Page

🤗 HF Repo • 🐦 Twitter • 📃 [WizardLM] @ICLR2024 • 📃 [WizardCoder] @ICLR2024 • 📃 [WizardMath]

👋 Join our Discord

Unofficial Video Introductions

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

News

🔥🔥🔥[2024/01/04] We released WizardCoder-33B-V1.1 trained from deepseek-coder-33b-base, the SOTA OSS Code LLM on EvalPlus Leaderboard, 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. 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	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	🤗 HF Link	📃 [WizardCoder]	79.9	73.2	78.9	66.9
WizardCoder-Python-34B-V1.0	🤗 HF Link	📃 [WizardCoder]	73.2	64.6	73.2	59.9
WizardCoder-15B-V1.0	🤗 HF Link	📃 [WizardCoder]	59.8	52.4	--	--
WizardCoder-Pyth

For agents

This page has a .md twin and JSON over the API.

/tools/nlpxucan-wizardlm.md GET /api/graphcanon/tools/nlpxucan-wizardlm GET /api/graphcanon/graph?tool=nlpxucan-wizardlm