Comparison
WizardLM vs awesome-LLM-resources
Verdict
Pick WizardLM if wizardLM powers language models like WizardCoder and WizardMath to excel in complex instruction handling; pick awesome-LLM-resources if awesome-LLM-resources is a curated list of resources related to large language models, covering a wide range of topics from multimodal generation to model training and inference.
Markdown twin · WizardLM alternatives · awesome-LLM-resources alternatives
GraphCanon updated Oct 7, 2026
12views this month
vs
Trust & integrity
| Signal | WizardLM | awesome-LLM-resources |
|---|---|---|
| Maintenance | Dormant (487d since push) As of Oct 7, 2026 · github_public_v1 | Very active (3d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Oct 7, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- WizardLM
- Empowering Large Pre-Trained Language Models to Follow Complex Instructions
- awesome-LLM-resources
- Summary of the world's best LLM resources.
Stars
- WizardLM
- 9.5k
- awesome-LLM-resources
- 9.0k
Forks
- WizardLM
- 744
- awesome-LLM-resources
- 993
Open issues
- WizardLM
- 169
- awesome-LLM-resources
- 40
Language
- WizardLM
- Python
- awesome-LLM-resources
- -
Adopt for
- WizardLM
- WizardLM powers language models like WizardCoder and WizardMath to excel in complex instruction handling.
- awesome-LLM-resources
- awesome-LLM-resources is a curated list of resources related to large language models, covering a wide range of topics from multimodal generation to model training and inference.
Persona
- WizardLM
- -
- awesome-LLM-resources
- -
Runtime
- WizardLM
- -
- awesome-LLM-resources
- -
License
- WizardLM
- (unknown)
- awesome-LLM-resources
- The repository is licensed under Apache-2.0, allowing for free use, modification, and distribution.
Last pushed
- WizardLM
- Jun 7, 2025
- awesome-LLM-resources
- Sep 14, 2026
Categories
- WizardLM
- LLM Frameworks, Model Training
- awesome-LLM-resources
- AI Agents, Computer Vision, Data & Retrieval, Developer Tools, Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training
Trust and health
Maintenance
- WizardLM
- Dormant (18%)
- awesome-LLM-resources
- Very active (96%)
Days since push
- WizardLM
- 487d
- awesome-LLM-resources
- 3d
Open issues (now)
- WizardLM
- 169
- awesome-LLM-resources
- 40
Stars delta
- WizardLM
- 0 (30d)
- awesome-LLM-resources
- +123 (30d)
Open issues delta
- WizardLM
- 0 (30d)
- awesome-LLM-resources
- +17 (30d)
Full report
- WizardLM
- Trust report
- awesome-LLM-resources
- Trust report
Shared compatibility
- ChatGPT · WizardLM: Works with ChatGPT · awesome-LLM-resources: Works with ChatGPT
Choose WizardLM if…
- Tags unique to WizardLM: instruction-following, wizardcoder, wizardmath.
- When advanced coding tasks need precise solutions, surpassing GPT-3.5-Turbo and Gemini Pro
- More GitHub stars (9.5k vs 9.0k) - visibility, not fit.
When NOT to use WizardLM
- 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
Choose awesome-LLM-resources if…
- Pricing: The repository itself is free to use, but some linked resources may require payment or have associated costs..
- Requirements: The repository does not specify any technical requirements for accessing its content..
- Tags unique to awesome-LLM-resources: awesome-list, book, course, llama.
- Also covers AI Agents, Computer Vision, Data & Retrieval, Developer Tools, Evaluation & Observability, Inference & Serving.
- When you need a comprehensive list of resources for large language models, including multimodal generation, agents, programming assistance, and more.
When NOT to use awesome-LLM-resources
- If you are looking for a tool that provides direct access to LLM APIs or services, as this repository is a list of resources rather than a service provider.
- When you need real-time support or a community forum for troubleshooting LLM-related issues, as this repository is a static list of resources without interactive support.
Explore
WizardLM trust report →awesome-LLM-resources trust report →LLM Frameworks category →Model Training category →AI Agents category →Computer Vision category →Data & Retrieval category →Developer Tools category →Evaluation & Observability category →Inference & Serving category →All comparisonsStack workflowsTrending tools
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (nlpxucan/WizardLM) · observed Oct 7, 2026
- GitHub forks (nlpxucan/WizardLM) · observed Oct 7, 2026
- Last push (nlpxucan/WizardLM) · observed Jun 7, 2025
- License file (unknown) · observed Oct 7, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (WangRongsheng/awesome-LLM-resources) · observed Sep 20, 2026
- GitHub forks (WangRongsheng/awesome-LLM-resources) · observed Sep 20, 2026
- Last push (WangRongsheng/awesome-LLM-resources) · observed Sep 14, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: WizardLM 9.5k · awesome-LLM-resources 9.0k (synced Oct 7, 2026).
Common questions
- What is the difference between WizardLM and awesome-LLM-resources?
- WizardLM: Empowering Large Pre-Trained Language Models to Follow Complex Instructions. awesome-LLM-resources: Summary of the world's best LLM resources.. See the comparison table for live GitHub stats and shared categories.
- When should I choose WizardLM over awesome-LLM-resources?
- Choose WizardLM over awesome-LLM-resources when Tags unique to WizardLM: instruction-following, wizardcoder, wizardmath; When advanced coding tasks need precise solutions, surpassing GPT-3.5-Turbo and Gemini Pro; More GitHub stars (9.5k vs 9.0k) - visibility, not fit.
- When should I choose awesome-LLM-resources over WizardLM?
- Choose awesome-LLM-resources over WizardLM when Pricing: The repository itself is free to use, but some linked resources may require payment or have associated costs.; Requirements: The repository does not specify any technical requirements for accessing its content.; Tags unique to awesome-LLM-resources: awesome-list, book, course, llama; Also covers AI Agents, Computer Vision, Data & Retrieval, Developer Tools, Evaluation & Observability, Inference & Serving; When you need a comprehensive list of resources for large language models, including multimodal generation, agents, programming assistance, and more.
- When should I avoid WizardLM?
- 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
- When should I avoid awesome-LLM-resources?
- If you are looking for a tool that provides direct access to LLM APIs or services, as this repository is a list of resources rather than a service provider. When you need real-time support or a community forum for troubleshooting LLM-related issues, as this repository is a static list of resources without interactive support.
- Is WizardLM or awesome-LLM-resources more popular on GitHub?
- WizardLM has more GitHub stars (9,480 vs 8,968). Stars measure visibility, not whether either tool fits your constraints.
- Are WizardLM and awesome-LLM-resources open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to WizardLM or awesome-LLM-resources?
- GraphCanon lists graph-backed alternatives at WizardLM alternatives and awesome-LLM-resources alternatives (WizardLM markdown twin, awesome-LLM-resources markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, WizardLM or awesome-LLM-resources?
- WizardLM: Dormant. awesome-LLM-resources: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for WizardLM and awesome-LLM-resources?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: WizardLM trust report; awesome-LLM-resources trust report.