Comparison
qlora vs Chinese-LLaMA-Alpaca
Verdict
Pick qlora if qLoRA specializes in accelerating the fine-tuning process of quantized large language models like those in the Guanaco family; pick Chinese-LLaMA-Alpaca if chinese-LLaMA-Alpaca offers Chinese versions of LLaMA and Alpaca models, with expanded Chinese vocabulary and pre-training on Chinese data, supporting local deployment on CPU/GPU.
Markdown twin · qlora alternatives · Chinese-LLaMA-Alpaca alternatives
GraphCanon updated Sep 26, 2026
6views this month
vs
Trust & integrity
| Signal | qlora | Chinese-LLaMA-Alpaca |
|---|---|---|
| Maintenance | Dormant (837d 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
- qlora
- QLoRA finetuning of quantized LLMs
- Chinese-LLaMA-Alpaca
- Chinese LLaMA & Alpaca LLMs
Stars
- qlora
- 11k
- Chinese-LLaMA-Alpaca
- 19k
Forks
- qlora
- 876
- Chinese-LLaMA-Alpaca
- 1.8k
Open issues
- qlora
- 207
- Chinese-LLaMA-Alpaca
- 5
Language
- qlora
- Jupyter Notebook
- Chinese-LLaMA-Alpaca
- Python
Adopt for
- qlora
- QLoRA specializes in accelerating the fine-tuning process of quantized large language models like those in the Guanaco family.
- Chinese-LLaMA-Alpaca
- Chinese-LLaMA-Alpaca offers Chinese versions of LLaMA and Alpaca models, with expanded Chinese vocabulary and pre-training on Chinese data, supporting local deployment on CPU/GPU.
Persona
- qlora
- -
- Chinese-LLaMA-Alpaca
- -
Runtime
- qlora
- -
- Chinese-LLaMA-Alpaca
- -
License
- qlora
- MIT License; open-source tool for QLoRA fine-tuning process; LLaMA base models must be obtained legally as per their license terms
- Chinese-LLaMA-Alpaca
- The tool is licensed under Apache-2.0, allowing for free use, modification, and distribution.
Last pushed
- qlora
- Jun 10, 2024
- Chinese-LLaMA-Alpaca
- Apr 19, 2026
Categories
- qlora
- LLM Frameworks, Model Training
- Chinese-LLaMA-Alpaca
- Inference & Serving, LLM Frameworks, Model Training
Trust and health
Maintenance
- qlora
- Dormant (18%)
- Chinese-LLaMA-Alpaca
- Slowing (36%)
Days since push
- qlora
- 837d
- Chinese-LLaMA-Alpaca
- 152d
Open issues (now)
- qlora
- 207
- Chinese-LLaMA-Alpaca
- 5
Stars delta
- qlora
- +42 (30d)
- Chinese-LLaMA-Alpaca
- +10 (30d)
Open issues delta
- qlora
- +1 (30d)
- Chinese-LLaMA-Alpaca
- -1 (30d)
Full report
- qlora
- Trust report
- Chinese-LLaMA-Alpaca
- Trust report
Choose qlora if…
- qlora is primarily Jupyter Notebook; Chinese-LLaMA-Alpaca is Python.
- License: qlora is MIT, Chinese-LLaMA-Alpaca is Apache-2.0.
- Pricing: Open source under MIT License; requires access to LLaMA base models.
- Requirements: Installation involves installing PyTorch and specific packages from source; Works with model sizes ranging from 7B to 65B, includes recommendations for tuning different sizes.
- Tags unique to qlora: fine-tuning, guanaco, llama models.
- Need efficient fine-tuning for quantized LLaMA-based models
When NOT to use qlora
- Require native full-precision model tuning without efficiency constraints
- Focusing on non-LLaMA-based language models where specific adaptations may not apply
Choose Chinese-LLaMA-Alpaca if…
- Chinese-LLaMA-Alpaca is primarily Python; qlora is Jupyter Notebook.
- License: Chinese-LLaMA-Alpaca is Apache-2.0, qlora is MIT.
- Pricing: The repository provides free access to the models and scripts, but users may incur costs related to hardware and cloud services for deployment..
- Requirements: Min 8 GB RAM; Requires Python environment.; Supports deployment on local CPU/GPU..
- Tags unique to Chinese-LLaMA-Alpaca: alpaca, llama, llm, lora.
- Also covers Inference & Serving.
- When you need Chinese-specific large language models for tasks that require deep understanding of the Chinese language.
When NOT to use Chinese-LLaMA-Alpaca
- If your project requires models that are not specific to the Chinese language or do not benefit from Chinese-specific pre-training.
- When you need models that are not available in the sizes provided by Chinese-LLaMA-Alpaca, such as models smaller than 7B or larger than 33B.
- If you prefer models that are not based on LLaMA or Alpaca architectures.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (artidoro/qlora) · observed Sep 26, 2026
- GitHub forks (artidoro/qlora) · observed Sep 26, 2026
- Last push (artidoro/qlora) · observed Jun 10, 2024
- License file (MIT) · observed Sep 26, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (ymcui/Chinese-LLaMA-Alpaca) · observed Sep 20, 2026
- GitHub forks (ymcui/Chinese-LLaMA-Alpaca) · observed Sep 20, 2026
- Last push (ymcui/Chinese-LLaMA-Alpaca) · 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: qlora 11k · Chinese-LLaMA-Alpaca 19k (synced Sep 26, 2026).
Common questions
- What is the difference between qlora and Chinese-LLaMA-Alpaca?
- qlora: QLoRA finetuning of quantized LLMs. Chinese-LLaMA-Alpaca: Chinese LLaMA & Alpaca LLMs. See the comparison table for live GitHub stats and shared categories.
- When should I choose qlora over Chinese-LLaMA-Alpaca?
- Choose qlora over Chinese-LLaMA-Alpaca when qlora is primarily Jupyter Notebook; Chinese-LLaMA-Alpaca is Python; License: qlora is MIT, Chinese-LLaMA-Alpaca is Apache-2.0; Pricing: Open source under MIT License; requires access to LLaMA base models; Requirements: Installation involves installing PyTorch and specific packages from source; Works with model sizes ranging from 7B to 65B, includes recommendations for tuning different sizes; Tags unique to qlora: fine-tuning, guanaco, llama models; Need efficient fine-tuning for quantized LLaMA-based models.
- When should I choose Chinese-LLaMA-Alpaca over qlora?
- Choose Chinese-LLaMA-Alpaca over qlora when Chinese-LLaMA-Alpaca is primarily Python; qlora is Jupyter Notebook; License: Chinese-LLaMA-Alpaca is Apache-2.0, qlora is MIT; Pricing: The repository provides free access to the models and scripts, but users may incur costs related to hardware and cloud services for deployment.; Requirements: Min 8 GB RAM; Requires Python environment.; Supports deployment on local CPU/GPU.; Tags unique to Chinese-LLaMA-Alpaca: alpaca, llama, llm, lora; Also covers Inference & Serving; When you need Chinese-specific large language models for tasks that require deep understanding of the Chinese language.
- When should I avoid qlora?
- Require native full-precision model tuning without efficiency constraints Focusing on non-LLaMA-based language models where specific adaptations may not apply
- When should I avoid Chinese-LLaMA-Alpaca?
- If your project requires models that are not specific to the Chinese language or do not benefit from Chinese-specific pre-training. When you need models that are not available in the sizes provided by Chinese-LLaMA-Alpaca, such as models smaller than 7B or larger than 33B. If you prefer models that are not based on LLaMA or Alpaca architectures.
- Is qlora or Chinese-LLaMA-Alpaca more popular on GitHub?
- Chinese-LLaMA-Alpaca has more GitHub stars (18,943 vs 11,021). Stars measure visibility, not whether either tool fits your constraints.
- Are qlora and Chinese-LLaMA-Alpaca open source?
- Yes - both are open-source projects on GitHub (qlora: MIT, Chinese-LLaMA-Alpaca: Apache-2.0).
- Where can I find alternatives to qlora or Chinese-LLaMA-Alpaca?
- GraphCanon lists graph-backed alternatives at qlora alternatives and Chinese-LLaMA-Alpaca alternatives (qlora markdown twin, Chinese-LLaMA-Alpaca 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, qlora or Chinese-LLaMA-Alpaca?
- qlora: Dormant. Chinese-LLaMA-Alpaca: 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 qlora and Chinese-LLaMA-Alpaca?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: qlora trust report; Chinese-LLaMA-Alpaca trust report.