Comparison
LlamaFactory vs OpenPipe
Verdict
Pick LlamaFactory if llamaFactory is a Python-based tool for efficient fine-tuning of over 100 large language models and vision-language models, supporting various methods like LoRA, QLoRA, and quantization; pick OpenPipe if openPipe is an open-source fine-tuning platform for cheaper model hosting and training, currently in a transition phase.
Markdown twin · LlamaFactory alternatives · OpenPipe alternatives
GraphCanon updated Sep 20, 2026
25views this month
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Trust & integrity
| Signal | LlamaFactory | OpenPipe |
|---|---|---|
| Maintenance | Very active (4d since push) As of Sep 18, 2026 · github_public_v1 | Dormant (848d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 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
- LlamaFactory
- Unified Efficient Fine-Tuning of 100+ LLMs & VLMs
- OpenPipe
- Open-source fine-tuning and model-hosting platform
Stars
- LlamaFactory
- 75k
- OpenPipe
- 2.8k
Forks
- LlamaFactory
- 9.2k
- OpenPipe
- 177
Open issues
- LlamaFactory
- 1.2k
- OpenPipe
- 8
Language
- LlamaFactory
- Python
- OpenPipe
- TypeScript
Adopt for
- LlamaFactory
- LlamaFactory is a Python-based tool for efficient fine-tuning of over 100 large language models and vision-language models, supporting various methods like LoRA, QLoRA, and quantization.
- OpenPipe
- OpenPipe is an open-source fine-tuning platform for cheaper model hosting and training, currently in a transition phase.
Persona
- LlamaFactory
- -
- OpenPipe
- -
Runtime
- LlamaFactory
- -
- OpenPipe
- -
License
- LlamaFactory
- Apache-2.0
- OpenPipe
- Apache-2.0
Last pushed
- LlamaFactory
- Sep 14, 2026
- OpenPipe
- May 25, 2024
Categories
- LlamaFactory
- LLM Frameworks, Model Training
- OpenPipe
- LLM Frameworks, Model Training
Trust and health
Maintenance
- LlamaFactory
- Very active (96%)
- OpenPipe
- Dormant (18%)
Days since push
- LlamaFactory
- 4d
- OpenPipe
- 848d
Open issues (now)
- LlamaFactory
- 1.2k
- OpenPipe
- 8
Stars delta
- LlamaFactory
- +717 (30d)
- OpenPipe
- +4 (30d)
Open issues delta
- LlamaFactory
- +43 (30d)
- OpenPipe
- 0 (30d)
Owner type
- LlamaFactory
- User
- OpenPipe
- Organization
Full report
- LlamaFactory
- Trust report
- OpenPipe
- Trust report
Typed relationship
LlamaFactory alternative OpenPipeOpenPipe and LlamaFactory both provide platforms for fine-tuning Large Language Models (LLMs), but OpenPipe additionally supports the creation of smaller, cost-effective models that can be easily integrated into workflows with SDKs, whereas LlamaFactory focuses on simplifying the fine-tuning process for a wide range of LLMs and vision-language models supported by prominent tech companies.
Shared compatibility
- Python · LlamaFactory: Python runtime · OpenPipe: Python runtime
Choose LlamaFactory if…
- LlamaFactory is primarily Python; OpenPipe is TypeScript.
- Requirements: Min 4 GB RAM; Requires Docker; Hardware requirements vary based on the method and model size. For example, full fine-tuning of a 7B model requires 120GB of memory, while QLoRA with 2-bit can ; Installation is mandatory and can be done from source or via Docker. Additional dependencies like `metrics` and `deepspeed` are optional.; For Windows users, manual installation of PyTorch with CUDA support is required, and bitsandbytes must be installed for QLoRA support..
- OpenPipe and LlamaFactory both provide platforms for fine-tuning Large Language Models (LLMs), but OpenPipe additionally supports the creation of smaller, cost-effective models that can be easily integrated into workflows with SDKs, whereas LlamaFactory focuses on simplifying the fine-tuning process for a wide range of LLMs and vision-language models supported by prominent tech companies.
- Tags unique to LlamaFactory: agent, deepseek, gpt, instruction-tuning.
- Use LlamaFactory when you need to fine-tune a wide range of large language models and vision-language models with methods like LoRA, QLoRA, and quantization.
When NOT to use LlamaFactory
- Avoid LlamaFactory if you are working with models not included in its supported list of over 100 models, as it may not provide the necessary fine-tuning capabilities.
- Do not use LlamaFactory if you are working in an environment where Python or specific dependencies like PyTorch and bitsandbytes cannot be installed or are not supported.
- LlamaFactory may not be suitable if you require real-time or near-real-time fine-tuning capabilities, as the setup and installation process can be complex and time-consuming.
Choose OpenPipe if…
- OpenPipe is primarily TypeScript; LlamaFactory is Python.
- OpenPipe and LlamaFactory both provide platforms for fine-tuning Large Language Models (LLMs), but OpenPipe additionally supports the creation of smaller, cost-effective models that can be easily integrated into workflows with SDKs, whereas LlamaFactory focuses on simplifying the fine-tuning process for a wide range of LLMs and vision-language models supported by prominent tech companies.
- Tags unique to OpenPipe: llm, model-hosting, openai-compatible, prompt-engineering.
- If you need to integrate with OpenAI's SDK in Python or TypeScript easily
When NOT to use OpenPipe
- Avoid if requiring real-time support or updates as development is currently paused for integration of proprietary code
- Not ideal for users needing immediate access to the latest features due to its transition phase
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (hiyouga/LlamaFactory) · observed Sep 20, 2026
- GitHub forks (hiyouga/LlamaFactory) · observed Sep 20, 2026
- Last push (hiyouga/LlamaFactory) · observed Sep 14, 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 (OpenPipe/OpenPipe) · observed Sep 20, 2026
- GitHub forks (OpenPipe/OpenPipe) · observed Sep 20, 2026
- Last push (OpenPipe/OpenPipe) · observed May 25, 2024
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: LlamaFactory 75k · OpenPipe 2.8k (synced Sep 20, 2026).
Common questions
- What is the difference between LlamaFactory and OpenPipe?
- LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. OpenPipe: Open-source fine-tuning and model-hosting platform. See the comparison table for live GitHub stats and shared categories.
- When should I choose LlamaFactory over OpenPipe?
- Choose LlamaFactory over OpenPipe when LlamaFactory is primarily Python; OpenPipe is TypeScript; Requirements: Min 4 GB RAM; Requires Docker; Hardware requirements vary based on the method and model size. For example, full fine-tuning of a 7B model requires 120GB of memory, while QLoRA with 2-bit can ; Installation is mandatory and can be done from source or via Docker. Additional dependencies like
metricsanddeepspeedare optional.; For Windows users, manual installation of PyTorch with CUDA support is required, and bitsandbytes must be installed for QLoRA support.; OpenPipe and LlamaFactory both provide platforms for fine-tuning Large Language Models (LLMs), but OpenPipe additionally supports the creation of smaller, cost-effective models that can be easily integrated into workflows with SDKs, whereas LlamaFactory focuses on simplifying the fine-tuning process for a wide range of LLMs and vision-language models supported by prominent tech companies; Tags unique to LlamaFactory: agent, deepseek, gpt, instruction-tuning; Use LlamaFactory when you need to fine-tune a wide range of large language models and vision-language models with methods like LoRA, QLoRA, and quantization. - When should I choose OpenPipe over LlamaFactory?
- Choose OpenPipe over LlamaFactory when OpenPipe is primarily TypeScript; LlamaFactory is Python; OpenPipe and LlamaFactory both provide platforms for fine-tuning Large Language Models (LLMs), but OpenPipe additionally supports the creation of smaller, cost-effective models that can be easily integrated into workflows with SDKs, whereas LlamaFactory focuses on simplifying the fine-tuning process for a wide range of LLMs and vision-language models supported by prominent tech companies; Tags unique to OpenPipe: llm, model-hosting, openai-compatible, prompt-engineering; If you need to integrate with OpenAI's SDK in Python or TypeScript easily.
- When should I avoid LlamaFactory?
- Avoid LlamaFactory if you are working with models not included in its supported list of over 100 models, as it may not provide the necessary fine-tuning capabilities. Do not use LlamaFactory if you are working in an environment where Python or specific dependencies like PyTorch and bitsandbytes cannot be installed or are not supported. LlamaFactory may not be suitable if you require real-time or near-real-time fine-tuning capabilities, as the setup and installation process can be complex and time-consuming.
- When should I avoid OpenPipe?
- Avoid if requiring real-time support or updates as development is currently paused for integration of proprietary code Not ideal for users needing immediate access to the latest features due to its transition phase
- Is LlamaFactory or OpenPipe more popular on GitHub?
- LlamaFactory has more GitHub stars (74,849 vs 2,830). Stars measure visibility, not whether either tool fits your constraints.
- Are LlamaFactory and OpenPipe open source?
- Yes - both are open-source projects on GitHub (LlamaFactory: Apache-2.0, OpenPipe: Apache-2.0).
- Where can I find alternatives to LlamaFactory or OpenPipe?
- GraphCanon lists graph-backed alternatives at LlamaFactory alternatives and OpenPipe alternatives (LlamaFactory markdown twin, OpenPipe 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, LlamaFactory or OpenPipe?
- LlamaFactory: Very active. OpenPipe: 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 LlamaFactory and OpenPipe?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LlamaFactory trust report; OpenPipe trust report.