Comparison
alpaca-lora vs Chinese-LLaMA-Alpaca-2
Verdict
Pick alpaca-lora if alpaca-lora is an instruct tuning repository for the LLaMA model designed to work with consumer-grade hardware through Docker integration; pick Chinese-LLaMA-Alpaca-2 if chinese-LLaMA-Alpaca-2 provides Chinese-specific versions of LLaMA-2 and Alpaca-2 with extended context lengths up to 64K tokens.
Markdown twin · alpaca-lora alternatives · Chinese-LLaMA-Alpaca-2 alternatives
GraphCanon updated 4d
vs
Trust & integrity
| Signal | alpaca-lora | Chinese-LLaMA-Alpaca-2 |
|---|---|---|
| Maintenance | Dormant (734d since push) As of 2w · github_public_v1 | Slowing (120d since push) As of 4d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 2w · github_public_v1 | Not a fork · Personal account As of 4d · github_public_v1 |
| OSV dependency advisories | Published findings As of 1mo · osv@v1 | Published findings 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
- alpaca-lora
- Instruct-tune LLaMA on consumer hardware
- Chinese-LLaMA-Alpaca-2
- Chinese LLaMA-2 & Alpaca-2 models with extended context lengths
Stars
- alpaca-lora
- 19k
- Chinese-LLaMA-Alpaca-2
- 7.1k
Forks
- alpaca-lora
- 2.2k
- Chinese-LLaMA-Alpaca-2
- 562
Open issues
- alpaca-lora
- 365
- Chinese-LLaMA-Alpaca-2
- 6
Language
- alpaca-lora
- Jupyter Notebook
- Chinese-LLaMA-Alpaca-2
- Python
Adopt for
- alpaca-lora
- alpaca-lora is an instruct tuning repository for the LLaMA model designed to work with consumer-grade hardware through Docker integration.
- Chinese-LLaMA-Alpaca-2
- Chinese-LLaMA-Alpaca-2 provides Chinese-specific versions of LLaMA-2 and Alpaca-2 with extended context lengths up to 64K tokens.
Persona
- alpaca-lora
- developer harness
- Chinese-LLaMA-Alpaca-2
- -
Runtime
- alpaca-lora
- -
- Chinese-LLaMA-Alpaca-2
- -
License
- alpaca-lora
- The Apache-2.0 license applies, allowing wide-ranging reuse and distribution of the software, provided that copyright notices are included and applicable files accompany distributed executables.
- Chinese-LLaMA-Alpaca-2
- Apache-2.0
Last pushed
- alpaca-lora
- Jul 29, 2024
- Chinese-LLaMA-Alpaca-2
- Apr 19, 2026
Categories
- alpaca-lora
- Inference & Serving, LLM Frameworks, Model Training
- Chinese-LLaMA-Alpaca-2
- LLM Frameworks
Trust and health
Maintenance
- alpaca-lora
- Dormant (18%)
- Chinese-LLaMA-Alpaca-2
- Slowing (36%)
Days since push
- alpaca-lora
- 734d
- Chinese-LLaMA-Alpaca-2
- 120d
Open issues (now)
- alpaca-lora
- 365
- Chinese-LLaMA-Alpaca-2
- 6
Stars delta
- alpaca-lora
- Unknown
- Chinese-LLaMA-Alpaca-2
- -8 (30d)
Open issues delta
- alpaca-lora
- Unknown
- Chinese-LLaMA-Alpaca-2
- 0 (30d)
Full report
- alpaca-lora
- Trust report
- Chinese-LLaMA-Alpaca-2
- Trust report
Choose alpaca-lora if…
- alpaca-lora is primarily Jupyter Notebook; Chinese-LLaMA-Alpaca-2 is Python.
- Pricing: The source code is freely available under the Apache-2.0 license, but costs associated with hardware and cloud services for running Docker may apply..
- Tags unique to alpaca-lora: consumer hardware, docker, instruct-tune, llama.
- Also covers Inference & Serving, Model Training.
- alpaca-lora ships Docker support for self-hosted deployment.
- When you have limited GPU resources but want to perform instruction-fine-tuning on the LLaMA model, and your setup supports basic Docker.
When NOT to use alpaca-lora
- When you require more advanced customization beyond what is offered through the `finetune.py` script parameters or Jupyter Notebook interface.
- For teams with high-performance computing resources aiming for optimal performance, as alpaca-lora is optimized for use on consumer-grade hardware.
Choose Chinese-LLaMA-Alpaca-2 if…
- Chinese-LLaMA-Alpaca-2 is primarily Python; alpaca-lora is Jupyter Notebook.
- Tags unique to Chinese-LLaMA-Alpaca-2: chinese, flash-attention, large language model (llm), long context models.
- When you need advanced models specifically tailored for the Chinese language, offering better performance compared to generic models
When NOT to use Chinese-LLaMA-Alpaca-2
- If your project requires support for languages other than Chinese, as the focus is on refining Chinese text understanding and generation
- In scenarios where shorter context lengths (less than 16K tokens) are sufficient, as the extended models may be overkill in terms of resource usage
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (tloen/alpaca-lora) · observed Aug 3, 2026
- GitHub forks (tloen/alpaca-lora) · observed Aug 3, 2026
- Last push (tloen/alpaca-lora) · observed Jul 29, 2024
- License file (Apache-2.0) · observed Aug 3, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (ymcui/Chinese-LLaMA-Alpaca-2) · observed Aug 17, 2026
- GitHub forks (ymcui/Chinese-LLaMA-Alpaca-2) · observed Aug 17, 2026
- Last push (ymcui/Chinese-LLaMA-Alpaca-2) · observed Apr 19, 2026
- License file (Apache-2.0) · observed Aug 17, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: alpaca-lora 19k · Chinese-LLaMA-Alpaca-2 7.1k (synced Aug 3, 2026).
Common questions
- What is the difference between alpaca-lora and Chinese-LLaMA-Alpaca-2?
- alpaca-lora: Instruct-tune LLaMA on consumer hardware. Chinese-LLaMA-Alpaca-2: Chinese LLaMA-2 & Alpaca-2 models with extended context lengths. See the comparison table for live GitHub stats and shared categories.
- When should I choose alpaca-lora over Chinese-LLaMA-Alpaca-2?
- Choose alpaca-lora over Chinese-LLaMA-Alpaca-2 when alpaca-lora is primarily Jupyter Notebook; Chinese-LLaMA-Alpaca-2 is Python; Pricing: The source code is freely available under the Apache-2.0 license, but costs associated with hardware and cloud services for running Docker may apply.; Tags unique to alpaca-lora: consumer hardware, docker, instruct-tune, llama; Also covers Inference & Serving, Model Training; alpaca-lora ships Docker support for self-hosted deployment; When you have limited GPU resources but want to perform instruction-fine-tuning on the LLaMA model, and your setup supports basic Docker.
- When should I choose Chinese-LLaMA-Alpaca-2 over alpaca-lora?
- Choose Chinese-LLaMA-Alpaca-2 over alpaca-lora when Chinese-LLaMA-Alpaca-2 is primarily Python; alpaca-lora is Jupyter Notebook; Tags unique to Chinese-LLaMA-Alpaca-2: chinese, flash-attention, large language model (llm), long context models; When you need advanced models specifically tailored for the Chinese language, offering better performance compared to generic models.
- When should I avoid alpaca-lora?
- When you require more advanced customization beyond what is offered through the
finetune.pyscript parameters or Jupyter Notebook interface. For teams with high-performance computing resources aiming for optimal performance, as alpaca-lora is optimized for use on consumer-grade hardware. - When should I avoid Chinese-LLaMA-Alpaca-2?
- If your project requires support for languages other than Chinese, as the focus is on refining Chinese text understanding and generation In scenarios where shorter context lengths (less than 16K tokens) are sufficient, as the extended models may be overkill in terms of resource usage
- Is alpaca-lora or Chinese-LLaMA-Alpaca-2 more popular on GitHub?
- alpaca-lora has more GitHub stars (18,912 vs 7,124). Stars measure visibility, not whether either tool fits your constraints.
- Are alpaca-lora and Chinese-LLaMA-Alpaca-2 open source?
- Yes - both are open-source projects on GitHub (alpaca-lora: Apache-2.0, Chinese-LLaMA-Alpaca-2: Apache-2.0).
- Where can I find alternatives to alpaca-lora or Chinese-LLaMA-Alpaca-2?
- GraphCanon lists graph-backed alternatives at alpaca-lora alternatives and Chinese-LLaMA-Alpaca-2 alternatives (alpaca-lora markdown twin, Chinese-LLaMA-Alpaca-2 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, alpaca-lora or Chinese-LLaMA-Alpaca-2?
- alpaca-lora: Dormant. Chinese-LLaMA-Alpaca-2: Slowing. 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 alpaca-lora and Chinese-LLaMA-Alpaca-2?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: alpaca-lora trust report; Chinese-LLaMA-Alpaca-2 trust report.