Home/Compare/qlora vs Aquila2

Comparison

qlora vs Aquila2

Verdict

Pick qlora if qLoRA specializes in accelerating the fine-tuning process of quantized large language models like those in the Guanaco family; pick Aquila2 if official suite for Aquila2 series LLM by BAAI.

Markdown twin · qlora alternatives · Aquila2 alternatives

GraphCanon updated today

qlora logo

qlora

artidoro/qlora

11kpushed Jun 10, 2024
vs
Aquila2 logo

Aquila2

FlagAI-Open/Aquila2

447pushed Oct 11, 2024

Trust & integrity

SignalqloraAquila2
Maintenance
Dormant (783d since push)
As of 3w · github_public_v1
Dormant (683d since push)
As of today · github_public_v1
Provenance
Not a fork · Personal account
As of 3w · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
OSV dependency advisories
Published findings
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

qlora
QLoRA finetuning of quantized LLMs
Aquila2
Official repository for Aquila2 series large language models by BAAI

Stars

qlora
11k
Aquila2
447

Forks

qlora
876
Aquila2
32

Open issues

qlora
206
Aquila2
2

Language

qlora
Jupyter Notebook
Aquila2
Python

Adopt for

qlora
QLoRA specializes in accelerating the fine-tuning process of quantized large language models like those in the Guanaco family.
Aquila2
Official suite for Aquila2 series LLM by BAAI

Persona

qlora
-
Aquila2
-

Runtime

qlora
-
Aquila2
-

License

qlora
MIT License; open-source tool for QLoRA fine-tuning process; LLaMA base models must be obtained legally as per their license terms
Aquila2
(unknown)

Last pushed

qlora
Jun 10, 2024
Aquila2
Oct 11, 2024

Categories

qlora
LLM Frameworks, Model Training
Aquila2
Inference & Serving, LLM Frameworks, Model Training

Trust and health

Days since push

qlora
783d
Aquila2
683d

Open issues (now)

qlora
206
Aquila2
2

Stars delta

qlora
Unknown
Aquila2
+1 (30d)

Open issues delta

qlora
Unknown
Aquila2
0 (30d)

Owner type

qlora
User
Aquila2
Organization

OSV dependency advisories

qlora
Published findings
Aquila2
No lockfile (source not queried)

Full report

Shared compatibility

  • Python · qlora: Python runtime · Aquila2: Python runtime

Choose qlora if…

  • qlora is primarily Jupyter Notebook; Aquila2 is Python.
  • 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, quantization.
  • 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 Aquila2 if…

  • Aquila2 is primarily Python; qlora is Jupyter Notebook.
  • Tags unique to Aquila2: llm, llm-inference, llm-training.
  • Also covers Inference & Serving.
  • Need specialized support from Beijing Academy of Artificial Intelligence

When NOT to use Aquila2

  • Require comprehensive API and documentation clarity
  • Preferring open source licensing details

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: qlora 11k · Aquila2 447 (synced Aug 3, 2026).

Common questions

What is the difference between qlora and Aquila2?
qlora: QLoRA finetuning of quantized LLMs. Aquila2: Official repository for Aquila2 series large language models by BAAI. See the comparison table for live GitHub stats and shared categories.
When should I choose qlora over Aquila2?
Choose qlora over Aquila2 when qlora is primarily Jupyter Notebook; Aquila2 is Python; 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, quantization; Need efficient fine-tuning for quantized LLaMA-based models.
When should I choose Aquila2 over qlora?
Choose Aquila2 over qlora when Aquila2 is primarily Python; qlora is Jupyter Notebook; Tags unique to Aquila2: llm, llm-inference, llm-training; Also covers Inference & Serving; Need specialized support from Beijing Academy of Artificial Intelligence.
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 Aquila2?
Require comprehensive API and documentation clarity Preferring open source licensing details
Is qlora or Aquila2 more popular on GitHub?
qlora has more GitHub stars (10,979 vs 447). Stars measure visibility, not whether either tool fits your constraints.
Are qlora and Aquila2 open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to qlora or Aquila2?
GraphCanon lists graph-backed alternatives at qlora alternatives and Aquila2 alternatives (qlora markdown twin, Aquila2 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 Aquila2?
qlora: Dormant. Aquila2: 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 qlora and Aquila2?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: qlora trust report; Aquila2 trust report.

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