Comparison
torchtune vs octoml-profile
Verdict
Pick torchtune if a PyTorch-native post-training library focused on finetuning multimodal LLMs using state-of-the-art quantization techniques; pick octoml-profile if octoML PyTorch Profiler provides profiling and acceleration tools for PyTorch models with remote execution capabilities.
Markdown twin · torchtune alternatives · octoml-profile alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | torchtune | octoml-profile |
|---|---|---|
| Maintenance | Very active (0d since push) As of 2w · github_public_v1 | Dormant (1197d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) 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
- torchtune
- PyTorch native post-training library
- octoml-profile
- Home for OctoML PyTorch Profiler
Stars
- torchtune
- 5.8k
- octoml-profile
- 113
Forks
- torchtune
- 743
- octoml-profile
- 10
Open issues
- torchtune
- 455
- octoml-profile
- 0
Language
- torchtune
- Python
- octoml-profile
- -
Adopt for
- torchtune
- A PyTorch-native post-training library focused on finetuning multimodal LLMs using state-of-the-art quantization techniques.
- octoml-profile
- OctoML PyTorch Profiler provides profiling and acceleration tools for PyTorch models with remote execution capabilities.
Persona
- torchtune
- -
- octoml-profile
- -
Runtime
- torchtune
- -
- octoml-profile
- -
License
- torchtune
- BSD-3-Clause
- octoml-profile
- Apache-2.0
Last pushed
- torchtune
- Aug 6, 2026
- octoml-profile
- Apr 24, 2023
Categories
- torchtune
- Inference & Serving, Model Training
- octoml-profile
- Inference & Serving, Model Training
Trust and health
Maintenance
- torchtune
- Very active (96%)
- octoml-profile
- Dormant (18%)
Days since push
- torchtune
- 0d
- octoml-profile
- 1197d
Open issues (now)
- torchtune
- 455
- octoml-profile
- 0
Full report
- torchtune
- Trust report
- octoml-profile
- Trust report
Shared compatibility
- Python · torchtune: Python runtime · octoml-profile: Python runtime
Choose torchtune if…
- License: torchtune is BSD-3-Clause, octoml-profile is Apache-2.0.
- Tags unique to torchtune: multimodal-llms, post-training, quantization techniques.
- - When you are working with the latest stable or preview nightly versions of PyTorch and need advanced finetuning for multimodal large language models (LLMs).
When NOT to use torchtune
- - If you rely on a fixed, older version of PyTorch as Torchtune only supports the latest stable and preview nightly versions.
- - For scenarios where custom or non-PyTorch-native optimization methods are preferred over torchao’s quantization techniques.
Choose octoml-profile if…
- License: octoml-profile is Apache-2.0, torchtune is BSD-3-Clause.
- Tags unique to octoml-profile: acceleration, performance optimization, profiling.
- Need precise performance metrics on different backend architectures like CPU, GPU in cloud environments
When NOT to use octoml-profile
- Development for local, offline usage only without remote profiling needs
- Working with PyTorch versions below 2.0 or incompatible with specific CUDA/Apple silicon versions outlined in installation guide
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (meta-pytorch/torchtune) · observed Aug 7, 2026
- GitHub forks (meta-pytorch/torchtune) · observed Aug 7, 2026
- Last push (meta-pytorch/torchtune) · observed Aug 6, 2026
- License file (BSD-3-Clause) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (octoml/octoml-profile) · observed Aug 4, 2026
- GitHub forks (octoml/octoml-profile) · observed Aug 4, 2026
- Last push (octoml/octoml-profile) · observed Apr 24, 2023
- License file (Apache-2.0) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: torchtune 5.8k · octoml-profile 113 (synced Aug 7, 2026).
Common questions
- What is the difference between torchtune and octoml-profile?
- torchtune: PyTorch native post-training library. octoml-profile: Home for OctoML PyTorch Profiler. See the comparison table for live GitHub stats and shared categories.
- When should I choose torchtune over octoml-profile?
- Choose torchtune over octoml-profile when License: torchtune is BSD-3-Clause, octoml-profile is Apache-2.0; Tags unique to torchtune: multimodal-llms, post-training, quantization techniques; - When you are working with the latest stable or preview nightly versions of PyTorch and need advanced finetuning for multimodal large language models (LLMs).
- When should I choose octoml-profile over torchtune?
- Choose octoml-profile over torchtune when License: octoml-profile is Apache-2.0, torchtune is BSD-3-Clause; Tags unique to octoml-profile: acceleration, performance optimization, profiling; Need precise performance metrics on different backend architectures like CPU, GPU in cloud environments.
- When should I avoid torchtune?
- - If you rely on a fixed, older version of PyTorch as Torchtune only supports the latest stable and preview nightly versions. - For scenarios where custom or non-PyTorch-native optimization methods are preferred over torchao’s quantization techniques.
- When should I avoid octoml-profile?
- Development for local, offline usage only without remote profiling needs Working with PyTorch versions below 2.0 or incompatible with specific CUDA/Apple silicon versions outlined in installation guide
- Is torchtune or octoml-profile more popular on GitHub?
- torchtune has more GitHub stars (5,793 vs 113). Stars measure visibility, not whether either tool fits your constraints.
- Are torchtune and octoml-profile open source?
- Yes - both are open-source projects on GitHub (torchtune: BSD-3-Clause, octoml-profile: Apache-2.0).
- Where can I find alternatives to torchtune or octoml-profile?
- GraphCanon lists graph-backed alternatives at torchtune alternatives and octoml-profile alternatives (torchtune markdown twin, octoml-profile 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, torchtune or octoml-profile?
- torchtune: Very active. octoml-profile: 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 torchtune and octoml-profile?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: torchtune trust report; octoml-profile trust report.