Comparison
LlamaFactory vs RasaGPT
Verdict
Pick LlamaFactory when license: LlamaFactory is Apache-2.0, RasaGPT is MIT; pick RasaGPT when license: RasaGPT is MIT, LlamaFactory is Apache-2.0.
Markdown twin · LlamaFactory alternatives · RasaGPT alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | LlamaFactory | RasaGPT |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Slowing (240d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal 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 |
Tagline
- LlamaFactory
- Unified Efficient Fine-Tuning of 100+ LLMs & VLMs
- RasaGPT
- 💬 RasaGPT is the first headless LLM chatbot platform built on top of Rasa and Langchain. Built w/ Rasa, FastAPI, Langchain, LlamaIndex, SQLModel, pgvector, ngrok, telegram
Stars
- LlamaFactory
- 73k
- RasaGPT
- 2.5k
Forks
- LlamaFactory
- 8.9k
- RasaGPT
- 251
Open issues
- LlamaFactory
- 1.1k
- RasaGPT
- 57
Language
- LlamaFactory
- Python
- RasaGPT
- Python
Adopt for
- 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.
- RasaGPT
- -
Persona
- LlamaFactory
- -
- RasaGPT
- -
Runtime
- LlamaFactory
- -
- RasaGPT
- -
License
- LlamaFactory
- Apache-2.0
- RasaGPT
- MIT
Last pushed
- LlamaFactory
- Jul 10, 2026
- RasaGPT
- Nov 12, 2025
Categories
- LlamaFactory
- Model Training, LLM Frameworks
- RasaGPT
- Model Training, LLM Frameworks, Vector Databases
Trust and health
Maintenance
- LlamaFactory
- Very active (96%)
- RasaGPT
- Slowing (36%)
Days since push
- LlamaFactory
- 0d
- RasaGPT
- 240d
Open issues (now)
- LlamaFactory
- 1.1k
- RasaGPT
- 57
Full report
- LlamaFactory
- Trust report
- RasaGPT
- Trust report
Choose LlamaFactory if…
- License: LlamaFactory is Apache-2.0, RasaGPT is MIT.
- Tags unique to LlamaFactory: gemma, fine-tuning, deepseek, instruction-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
Choose RasaGPT if…
- License: RasaGPT is MIT, LlamaFactory is Apache-2.0.
- Tags unique to RasaGPT: gpt-3, fastapi, gpt-4, chatgpt.
- Also covers Vector Databases.
- RasaGPT ships Docker support for self-hosted deployment.
When NOT to use RasaGPT
- Last GitHub push was 241 days ago (slowing maintenance, Nov 12, 2025). Validate activity before betting a new project on RasaGPT.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
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 Jul 11, 2026
- GitHub forks (hiyouga/LlamaFactory) · observed Jul 11, 2026
- Last push (hiyouga/LlamaFactory) · observed Jul 10, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (paulpierre/RasaGPT) · observed Jul 11, 2026
- GitHub forks (paulpierre/RasaGPT) · observed Jul 11, 2026
- Last push (paulpierre/RasaGPT) · observed Nov 12, 2025
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: LlamaFactory 73k · RasaGPT 2.5k (synced Jul 11, 2026).
Common questions
- What is the difference between LlamaFactory and RasaGPT?
- LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. RasaGPT: 💬 RasaGPT is the first headless LLM chatbot platform built on top of Rasa and Langchain. Built w/ Rasa, FastAPI, Langchain, LlamaIndex, SQLModel, pgvector, ngrok, telegram. See the comparison table for live GitHub stats and shared categories.
- When should I choose LlamaFactory over RasaGPT?
- Choose LlamaFactory over RasaGPT when License: LlamaFactory is Apache-2.0, RasaGPT is MIT; Tags unique to LlamaFactory: gemma, fine-tuning, deepseek, instruction-tuning; When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA.
- When should I choose RasaGPT over LlamaFactory?
- Choose RasaGPT over LlamaFactory when License: RasaGPT is MIT, LlamaFactory is Apache-2.0; Tags unique to RasaGPT: gpt-3, fastapi, gpt-4, chatgpt; Also covers Vector Databases; RasaGPT ships Docker support for self-hosted deployment.
- 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
- When should I avoid RasaGPT?
- Last GitHub push was 241 days ago (slowing maintenance, Nov 12, 2025). Validate activity before betting a new project on RasaGPT. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- Is LlamaFactory or RasaGPT more popular on GitHub?
- LlamaFactory has more GitHub stars (73,157 vs 2,464). Stars measure visibility, not whether either tool fits your constraints.
- Are LlamaFactory and RasaGPT open source?
- Yes - both are open-source projects on GitHub (LlamaFactory: Apache-2.0, RasaGPT: MIT).
- Where can I find alternatives to LlamaFactory or RasaGPT?
- GraphCanon lists graph-backed alternatives at LlamaFactory alternatives and RasaGPT alternatives (LlamaFactory markdown twin, RasaGPT 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 RasaGPT?
- LlamaFactory: Very active. RasaGPT: Slowing. 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 RasaGPT?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LlamaFactory trust report; RasaGPT trust report.