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 offers a curated and comprehensive list of resources related to Large Language Models (LLMs), including materials for specialized areas like RAG (Retrieval-Augmented Generation) and agentic RL, as a.
Markdown twin · WizardLM alternatives · awesome-LLM-resources alternatives
GraphCanon updated 2d
vs
Trust & integrity
| Signal | WizardLM | awesome-LLM-resources |
|---|---|---|
| Maintenance | Dormant (424d since push) As of 2w · github_public_v1 | Very active (2d since push) As of 2d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 2w · github_public_v1 | Not a fork · Personal account As of 2d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- 8.8k
Forks
- WizardLM
- 749
- awesome-LLM-resources
- 950
Open issues
- WizardLM
- 169
- awesome-LLM-resources
- 23
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 offers a curated and comprehensive list of resources related to Large Language Models (LLMs), including materials for specialized areas like RAG (Retrieval-Augmented Generation) and agentic RL, as a
Persona
- WizardLM
- -
- awesome-LLM-resources
- -
Runtime
- WizardLM
- -
- awesome-LLM-resources
- -
License
- WizardLM
- (unknown)
- awesome-LLM-resources
- Apache-2.0
Last pushed
- WizardLM
- Jun 7, 2025
- awesome-LLM-resources
- Aug 14, 2026
Categories
- WizardLM
- LLM Frameworks, Model Training
- awesome-LLM-resources
- AI Agents, 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
- 424d
- awesome-LLM-resources
- 2d
Open issues (now)
- WizardLM
- 169
- awesome-LLM-resources
- 23
Stars delta
- WizardLM
- Unknown
- awesome-LLM-resources
- +142 (30d)
Open issues delta
- WizardLM
- Unknown
- awesome-LLM-resources
- -13 (30d)
Full report
- WizardLM
- Trust report
- awesome-LLM-resources
- Trust report
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 8.8k) - 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…
- Tags unique to awesome-LLM-resources: awesome-list, book, course, llama.
- Also covers AI Agents, Developer Tools, Evaluation & Observability, Inference & Serving.
- - It's ideal when you seek an exhaustive and up-to-date compilation covering extensive knowledge points in LLM technologies.
When NOT to use awesome-LLM-resources
- - Avoid using this resource if you specifically need detailed step-by-step guides or hands-on tutorials that focus deeply on a single technology rather than broad coverage.
- - It might not be the best choice when you are looking for resources in languages other than English, especially given its extensive English content.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (nlpxucan/WizardLM) · observed Aug 5, 2026
- GitHub forks (nlpxucan/WizardLM) · observed Aug 5, 2026
- Last push (nlpxucan/WizardLM) · observed Jun 7, 2025
- License file (unknown) · observed Aug 5, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (WangRongsheng/awesome-LLM-resources) · observed Aug 17, 2026
- GitHub forks (WangRongsheng/awesome-LLM-resources) · observed Aug 17, 2026
- Last push (WangRongsheng/awesome-LLM-resources) · observed Aug 14, 2026
- License file (Apache-2.0) · observed Aug 17, 2026
- Decision facts (enrichment) · observed Jul 10, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: WizardLM 9.5k · awesome-LLM-resources 8.8k (synced Aug 5, 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 8.8k) - visibility, not fit.
- When should I choose awesome-LLM-resources over WizardLM?
- Choose awesome-LLM-resources over WizardLM when Tags unique to awesome-LLM-resources: awesome-list, book, course, llama; Also covers AI Agents, Developer Tools, Evaluation & Observability, Inference & Serving; - It's ideal when you seek an exhaustive and up-to-date compilation covering extensive knowledge points in LLM technologies.
- 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?
- - Avoid using this resource if you specifically need detailed step-by-step guides or hands-on tutorials that focus deeply on a single technology rather than broad coverage. - It might not be the best choice when you are looking for resources in languages other than English, especially given its extensive English content.
- Is WizardLM or awesome-LLM-resources more popular on GitHub?
- WizardLM has more GitHub stars (9,484 vs 8,845). 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.