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 versions of LLaMA-2 and Alpaca-2 large language models, including long context models up to 64K. It includes pretraining and instruction fine-tuning scripts, and supports various部署.
Markdown twin · alpaca-lora alternatives · Chinese-LLaMA-Alpaca-2 alternatives
GraphCanon updated Sep 26, 2026
21views this month
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Trust & integrity
| Signal | alpaca-lora | Chinese-LLaMA-Alpaca-2 |
|---|---|---|
| Maintenance | Dormant (788d since push) As of Sep 26, 2026 · github_public_v1 | Slowing (152d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 26, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 11, 2026 · osv@v1 | Published findings 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
- alpaca-lora
- Instruct-tune LLaMA on consumer hardware
- Chinese-LLaMA-Alpaca-2
- Chinese LLaMA-2 & Alpaca-2 LLMs with 64K long context models
Stars
- alpaca-lora
- 19k
- Chinese-LLaMA-Alpaca-2
- 7.1k
Forks
- alpaca-lora
- 2.2k
- Chinese-LLaMA-Alpaca-2
- 559
Open issues
- alpaca-lora
- 364
- 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 versions of LLaMA-2 and Alpaca-2 large language models, including long context models up to 64K. It includes pretraining and instruction fine-tuning scripts, and supports various部署
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
- Inference & Serving, LLM Frameworks, Model Training
Trust and health
Maintenance
- alpaca-lora
- Dormant (18%)
- Chinese-LLaMA-Alpaca-2
- Slowing (36%)
Days since push
- alpaca-lora
- 788d
- Chinese-LLaMA-Alpaca-2
- 152d
Open issues (now)
- alpaca-lora
- 364
- Chinese-LLaMA-Alpaca-2
- 6
Stars delta
- alpaca-lora
- -10 (30d)
- Chinese-LLaMA-Alpaca-2
- -6 (30d)
Open issues delta
- alpaca-lora
- -1 (30d)
- 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, lora.
- 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: 64k, alpaca, alpaca-2, flash-attention.
- When you need Chinese-specific large language models with long context capabilities up to 64K.
When NOT to use Chinese-LLaMA-Alpaca-2
- If you need models that support languages other than Chinese, as this repository focuses on Chinese models.
- If you require models with shorter context lengths than 4K, as the standard models support 4K and the long context models support 16K and 64K.
- If you are looking for models that do not include human preference alignment (RLHF), as this repository includes models that have been fine-tuned for this purpose.
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 Sep 26, 2026
- GitHub forks (tloen/alpaca-lora) · observed Sep 26, 2026
- Last push (tloen/alpaca-lora) · observed Jul 29, 2024
- License file (Apache-2.0) · observed Sep 26, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (ymcui/Chinese-LLaMA-Alpaca-2) · observed Sep 20, 2026
- GitHub forks (ymcui/Chinese-LLaMA-Alpaca-2) · observed Sep 20, 2026
- Last push (ymcui/Chinese-LLaMA-Alpaca-2) · observed Apr 19, 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: alpaca-lora 19k · Chinese-LLaMA-Alpaca-2 7.1k (synced Sep 26, 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 LLMs with 64K long context models. 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, lora; 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: 64k, alpaca, alpaca-2, flash-attention; When you need Chinese-specific large language models with long context capabilities up to 64K.
- 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 you need models that support languages other than Chinese, as this repository focuses on Chinese models. If you require models with shorter context lengths than 4K, as the standard models support 4K and the long context models support 16K and 64K. If you are looking for models that do not include human preference alignment (RLHF), as this repository includes models that have been fine-tuned for this purpose.
- Is alpaca-lora or Chinese-LLaMA-Alpaca-2 more popular on GitHub?
- alpaca-lora has more GitHub stars (18,902 vs 7,118). 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.