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Comparison

dstack vs LlamaFactory

Verdict

Pick dstack when license: dstack is MPL-2.0, LlamaFactory is Apache-2.0; pick LlamaFactory when license: LlamaFactory is Apache-2.0, dstack is MPL-2.0.

Markdown twin · dstack alternatives · LlamaFactory alternatives

GraphCanon updated today

dstack logo

dstack

dstackai/dstack

★ 2.2kpushed Jul 10, 2026
vs
LlamaFactory logo

LlamaFactory

hiyouga/LlamaFactory

★ 73kpushed Jul 10, 2026

Trust & integrity

SignaldstackLlamaFactory
Maintenance
Very active (0d since push)
As of today · github_public_v1
Very active (0d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Personal account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No lockfile
As of today · none
dstack trust reportLlamaFactory trust reportTrust methodology

Tagline

dstack
Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.
LlamaFactory
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs

Stars

dstack
2.2k
LlamaFactory
73k

Forks

dstack
237
LlamaFactory
8.9k

Open issues

dstack
62
LlamaFactory
1.1k

Language

dstack
Python
LlamaFactory
Python

Adopt for

dstack
-
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

dstack
-
LlamaFactory
-

Runtime

dstack
-
LlamaFactory
-

License

dstack
MPL-2.0
LlamaFactory
Apache-2.0

Last pushed

dstack
Jul 10, 2026
LlamaFactory
Jul 10, 2026

Categories

dstack
AI Agents, LLM Frameworks, Model Training
LlamaFactory
LLM Frameworks, Model Training

Trust and health

Open issues (now)

dstack
62
LlamaFactory
1.1k

Owner type

dstack
Organization
LlamaFactory
User

Full report

dstack
Trust report
LlamaFactory
Trust report

Choose dstack if…

  • License: dstack is MPL-2.0, LlamaFactory is Apache-2.0.
  • Tags unique to dstack: agent-skills, agentic-orchestration, amd, cloud.
  • Also covers AI Agents.

When NOT to use dstack

  • AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
  • 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.
GitHubDetails

Choose LlamaFactory if…

  • License: LlamaFactory is Apache-2.0, dstack is MPL-2.0.
  • Tags unique to LlamaFactory: agent, ai, deepseek, gemma.
  • 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
GitHubDetails

Explore

dstack trust report →LlamaFactory trust report →AI Agents category →LLM Frameworks category →Model Training category →All comparisonsStack workflowsTrending tools

Sources

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

GitHub stars on cards: dstack 2.2k · LlamaFactory 73k (synced Jul 11, 2026).

Common questions

What is the difference between dstack and LlamaFactory?
dstack: Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.. LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. See the comparison table for live GitHub stats and shared categories.
When should I choose dstack over LlamaFactory?
Choose dstack over LlamaFactory when License: dstack is MPL-2.0, LlamaFactory is Apache-2.0; Tags unique to dstack: agent-skills, agentic-orchestration, amd, cloud; Also covers AI Agents.
When should I choose LlamaFactory over dstack?
Choose LlamaFactory over dstack when License: LlamaFactory is Apache-2.0, dstack is MPL-2.0; Tags unique to LlamaFactory: agent, ai, deepseek, gemma; When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA.
When should I avoid dstack?
AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. 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 dstack or LlamaFactory more popular on GitHub?
LlamaFactory has more GitHub stars (73,157 vs 2,172). Stars measure visibility, not whether either tool fits your constraints.
Are dstack and LlamaFactory open source?
Yes - both are open-source projects on GitHub (dstack: MPL-2.0, LlamaFactory: Apache-2.0).
Where can I find alternatives to dstack or LlamaFactory?
GraphCanon lists graph-backed alternatives at dstack alternatives and LlamaFactory alternatives (dstack 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, dstack or LlamaFactory?
dstack: 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 dstack and LlamaFactory?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dstack trust report; LlamaFactory trust report.