Home/Compare/krasis vs LlamaFactory

Comparison

krasis vs LlamaFactory

Verdict

Pick krasis when krasis is primarily C++; LlamaFactory is Python; pick LlamaFactory when llamaFactory is primarily Python; krasis is C++.

Markdown twin · krasis alternatives · LlamaFactory alternatives

GraphCanon updated 1d

krasis logo

krasis

brontoguana/krasis

480pushed Jul 9, 2026
vs
LlamaFactory logo

LlamaFactory

hiyouga/LlamaFactory

73kpushed Jul 10, 2026

Trust & integrity

SignalkrasisLlamaFactory
Maintenance
Very active (2d since push)
As of 1d · github_public_v1
Very active (0d since push)
As of 1d · github_public_v1
Provenance
Not a fork · Personal account
As of 1d · github_public_v1
Not a fork · Personal account
As of 1d · github_public_v1
Security (OSV)
No lockfile
As of 1d · none
No lockfile
As of 1d · none

Tagline

krasis
Krasis is a Hybrid LLM runtime which focuses on efficient running of larger models on consumer grade VRAM limited hardware
LlamaFactory
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs

Stars

krasis
480
LlamaFactory
73k

Forks

krasis
27
LlamaFactory
8.9k

Open issues

krasis
8
LlamaFactory
1.1k

Language

krasis
C++
LlamaFactory
Python

Adopt for

krasis
-
LlamaFactory
LlamaFactory is a sophisticated tool for fine-tuning numerous large language models and visual language models efficiently using various methods such as LoRA, QLoRA, RLHF, and quantization.

Persona

krasis
-
LlamaFactory
-

Runtime

krasis
-
LlamaFactory
-

License

krasis
Other
LlamaFactory
Apache-2.0

Last pushed

krasis
Jul 9, 2026
LlamaFactory
Jul 10, 2026

Categories

krasis
Inference & Serving, LLM Frameworks, Model Training
LlamaFactory
LLM Frameworks, Model Training

Trust and health

Days since push

krasis
2d
LlamaFactory
0d

Open issues (now)

krasis
8
LlamaFactory
1.1k

Full report

LlamaFactory
Trust report

Choose krasis if…

  • krasis is primarily C++; LlamaFactory is Python.
  • License: krasis is Other, LlamaFactory is Apache-2.0.
  • Tags unique to krasis: cpu-inference, gguf-model-support, gpu-inference, high-performance-inference.
  • Also covers Inference & Serving.

When NOT to use krasis

  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

Choose LlamaFactory if…

  • LlamaFactory is primarily Python; krasis is C++.
  • License: LlamaFactory is Apache-2.0, krasis is Other.
  • Tags unique to LlamaFactory: agent, ai, deepseek, fine-tuning.
  • When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA.

When NOT to use LlamaFactory

  • When you are looking to fine-tune less popular or niche models that are not supported within the 100+ models covered by LlamaFactory.
  • If your project specifically requires custom fine-tuning methods not available in this repository, such as certain versions of PEFT (Parameter Efficient Fine-Tuning) techniques excluding LoRA and QLoa

Explore

Sources

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

GitHub stars on cards: krasis 480 · LlamaFactory 73k (synced Jul 11, 2026).

Common questions

What is the difference between krasis and LlamaFactory?
krasis: Krasis is a Hybrid LLM runtime which focuses on efficient running of larger models on consumer grade VRAM limited hardware. LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. See the comparison table for live GitHub stats and shared categories.
When should I choose krasis over LlamaFactory?
Choose krasis over LlamaFactory when krasis is primarily C++; LlamaFactory is Python; License: krasis is Other, LlamaFactory is Apache-2.0; Tags unique to krasis: cpu-inference, gguf-model-support, gpu-inference, high-performance-inference; Also covers Inference & Serving.
When should I choose LlamaFactory over krasis?
Choose LlamaFactory over krasis when LlamaFactory is primarily Python; krasis is C++; License: LlamaFactory is Apache-2.0, krasis is Other; Tags unique to LlamaFactory: agent, ai, deepseek, fine-tuning; When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA.
When should I avoid krasis?
Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
When should I avoid LlamaFactory?
When you are looking to fine-tune less popular or niche models that are not supported within the 100+ models covered by LlamaFactory. If your project specifically requires custom fine-tuning methods not available in this repository, such as certain versions of PEFT (Parameter Efficient Fine-Tuning) techniques excluding LoRA and QLoa
Is krasis or LlamaFactory more popular on GitHub?
LlamaFactory has more GitHub stars (73,157 vs 480). Stars measure visibility, not whether either tool fits your constraints.
Are krasis and LlamaFactory open source?
Yes - both are open-source projects on GitHub (krasis: Other, LlamaFactory: Apache-2.0).
Where can I find alternatives to krasis or LlamaFactory?
GraphCanon lists graph-backed alternatives at krasis alternatives and LlamaFactory alternatives (krasis markdown twin, LlamaFactory 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, krasis or LlamaFactory?
krasis: Very active. LlamaFactory: Very active. 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 krasis and LlamaFactory?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: krasis trust report; LlamaFactory trust report.