Comparison
DeepSeek-R1 vs huozi
Verdict
Pick DeepSeek-R1 if deepSeek-R1 provides a set of distilled LLMs from Qwen and LLaMA series that support commercial use; pick huozi if huozi is a Python-based large model framework with Apache-2.0 license for fine-tuning and NLP applications.
Markdown twin · DeepSeek-R1 alternatives · huozi alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | DeepSeek-R1 | huozi |
|---|---|---|
| Maintenance | Dormant (405d since push) As of 2w · github_public_v1 | Dormant (711d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 1d · 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
- DeepSeek-R1
- Repository contains distilled LLM models derived from Qwen and LLaMA series for various commercial uses.
- huozi
- General-purpose large model for fine-tuning and applications
Stars
- DeepSeek-R1
- 92k
- huozi
- 393
Forks
- DeepSeek-R1
- 12k
- huozi
- 26
Open issues
- DeepSeek-R1
- 38
- huozi
- 0
Language
- DeepSeek-R1
- -
- huozi
- Python
Adopt for
- DeepSeek-R1
- DeepSeek-R1 provides a set of distilled LLMs from Qwen and LLaMA series that support commercial use.
- huozi
- Huozi is a Python-based large model framework with Apache-2.0 license for fine-tuning and NLP applications.
Persona
- DeepSeek-R1
- -
- huozi
- -
Runtime
- DeepSeek-R1
- -
- huozi
- -
License
- DeepSeek-R1
- MIT
- huozi
- Apache-2.0
Last pushed
- DeepSeek-R1
- Jun 27, 2025
- huozi
- Sep 12, 2024
Categories
- DeepSeek-R1
- LLM Frameworks, Model Training
- huozi
- LLM Frameworks, Model Training
Trust and health
Days since push
- DeepSeek-R1
- 405d
- huozi
- 711d
Open issues (now)
- DeepSeek-R1
- 38
- huozi
- 0
Stars delta
- DeepSeek-R1
- Unknown
- huozi
- -2 (30d)
Open issues delta
- DeepSeek-R1
- Unknown
- huozi
- 0 (30d)
Full report
- DeepSeek-R1
- Trust report
- huozi
- Trust report
Choose DeepSeek-R1 if…
- License: DeepSeek-R1 is MIT, huozi is Apache-2.0.
- Pricing: The repository allows for commercial use under the MIT License or respective original licenses with no explicit monetary costs outlined in the repository..
- Requirements: Min 4 GB RAM; This is a rough estimate based on common model requirements. Specific models within DeepSeek-R1 may have different resource needs..
- Tags unique to DeepSeek-R1: commercial use, derived models, distilled models, mit-license.
- When you need to work with pre-trained models derived specifically from the Qwen-2.5 and Llama3.x series, benefiting from their unique characteristics.
When NOT to use DeepSeek-R1
- Avoid if you need foundational models rather than distilled versions, as DeepSeek-R1 specializes in providing smaller, more efficient models suitable for resource-constrained environments.
- If your project is tightly regulated or requires models from a different lineage, as DeepSeek-R1 exclusively provides derivatives of Qwen and LLaMA series.
Choose huozi if…
- License: huozi is Apache-2.0, DeepSeek-R1 is MIT.
- Tags unique to huozi: fine-tuning, large language models, llm, nlp.
- When working on projects that require fast integration of pre-trained language models through its streamlined fine-tuning capabilities.
When NOT to use huozi
- If your project requires proprietary licensing, as Huozi is under the Apache-2.0 license which may not meet all business models' requirements.
- When needing a framework with comprehensive support for visual data or other non-textual machine learning applications.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (deepseek-ai/DeepSeek-R1) · observed Aug 6, 2026
- GitHub forks (deepseek-ai/DeepSeek-R1) · observed Aug 6, 2026
- Last push (deepseek-ai/DeepSeek-R1) · observed Jun 27, 2025
- License file (MIT) · observed Aug 6, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (HIT-SCIR/huozi) · observed Aug 24, 2026
- GitHub forks (HIT-SCIR/huozi) · observed Aug 24, 2026
- Last push (HIT-SCIR/huozi) · observed Sep 12, 2024
- License file (Apache-2.0) · observed Aug 24, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: DeepSeek-R1 92k · huozi 393 (synced Aug 6, 2026).
Common questions
- What is the difference between DeepSeek-R1 and huozi?
- DeepSeek-R1: Repository contains distilled LLM models derived from Qwen and LLaMA series for various commercial uses.. huozi: General-purpose large model for fine-tuning and applications. See the comparison table for live GitHub stats and shared categories.
- When should I choose DeepSeek-R1 over huozi?
- Choose DeepSeek-R1 over huozi when License: DeepSeek-R1 is MIT, huozi is Apache-2.0; Pricing: The repository allows for commercial use under the MIT License or respective original licenses with no explicit monetary costs outlined in the repository.; Requirements: Min 4 GB RAM; This is a rough estimate based on common model requirements. Specific models within DeepSeek-R1 may have different resource needs.; Tags unique to DeepSeek-R1: commercial use, derived models, distilled models, mit-license; When you need to work with pre-trained models derived specifically from the Qwen-2.5 and Llama3.x series, benefiting from their unique characteristics.
- When should I choose huozi over DeepSeek-R1?
- Choose huozi over DeepSeek-R1 when License: huozi is Apache-2.0, DeepSeek-R1 is MIT; Tags unique to huozi: fine-tuning, large language models, llm, nlp; When working on projects that require fast integration of pre-trained language models through its streamlined fine-tuning capabilities.
- When should I avoid DeepSeek-R1?
- Avoid if you need foundational models rather than distilled versions, as DeepSeek-R1 specializes in providing smaller, more efficient models suitable for resource-constrained environments. If your project is tightly regulated or requires models from a different lineage, as DeepSeek-R1 exclusively provides derivatives of Qwen and LLaMA series.
- When should I avoid huozi?
- If your project requires proprietary licensing, as Huozi is under the Apache-2.0 license which may not meet all business models' requirements. When needing a framework with comprehensive support for visual data or other non-textual machine learning applications.
- Is DeepSeek-R1 or huozi more popular on GitHub?
- DeepSeek-R1 has more GitHub stars (91,982 vs 393). Stars measure visibility, not whether either tool fits your constraints.
- Are DeepSeek-R1 and huozi open source?
- Yes - both are open-source projects on GitHub (DeepSeek-R1: MIT, huozi: Apache-2.0).
- Where can I find alternatives to DeepSeek-R1 or huozi?
- GraphCanon lists graph-backed alternatives at DeepSeek-R1 alternatives and huozi alternatives (DeepSeek-R1 markdown twin, huozi 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, DeepSeek-R1 or huozi?
- DeepSeek-R1: Dormant. huozi: Dormant. 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 DeepSeek-R1 and huozi?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: DeepSeek-R1 trust report; huozi trust report.