Comparison
FastChat vs alpaca-lora
Verdict
Pick FastChat when fastChat is primarily Python; alpaca-lora is Jupyter Notebook; pick alpaca-lora when alpaca-lora is primarily Jupyter Notebook; FastChat is Python.
Markdown twin · FastChat alternatives · alpaca-lora alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | FastChat | alpaca-lora |
|---|---|---|
| Maintenance | Steady (71d since push) As of today · github_public_v1 | Dormant (712d 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 | 1 critical, 5 high, 12 medium, 28 low (1 critical, 5 high, 12 medium, 28 low) As of today · osv@v1 |
Tagline
- FastChat
- An open platform for training, serving, and evaluating large language models
- alpaca-lora
- Instruct-tune LLaMA on consumer hardware
Stars
- FastChat
- 39k
- alpaca-lora
- 19k
Forks
- FastChat
- 4.8k
- alpaca-lora
- 2.2k
Open issues
- FastChat
- 1.0k
- alpaca-lora
- 366
Language
- FastChat
- Python
- alpaca-lora
- Jupyter Notebook
Adopt for
- FastChat
- FastChat is a comprehensive open platform for managing large language models (LLMs) that includes capabilities for training, serving, evaluating, and comparing chatbot models via web UIs and RESTful APIs. It powers ChatB
- alpaca-lora
- -
Persona
- FastChat
- -
- alpaca-lora
- -
Runtime
- FastChat
- -
- alpaca-lora
- -
License
- FastChat
- Apache-2.0
- alpaca-lora
- Apache-2.0
Last pushed
- FastChat
- May 1, 2026
- alpaca-lora
- Jul 29, 2024
Categories
- FastChat
- Model Training, LLM Frameworks, Inference & Serving, Evaluation & Observability
- alpaca-lora
- Model Training, Computer Vision, Inference & Serving
Trust and health
Maintenance
- FastChat
- Steady (60%)
- alpaca-lora
- Dormant (18%)
Days since push
- FastChat
- 71d
- alpaca-lora
- 712d
Open issues (now)
- FastChat
- 1.0k
- alpaca-lora
- 366
Owner type
- FastChat
- Organization
- alpaca-lora
- User
Security scan
- FastChat
- No lockfile
- alpaca-lora
- 1 critical, 5 high, 12 medium, 28 low (1 critical, 5 high, 12 medium, 28 low)
Full report
- FastChat
- Trust report
- alpaca-lora
- Trust report
Choose FastChat if…
- FastChat is primarily Python; alpaca-lora is Jupyter Notebook.
- Tags unique to FastChat: evaluation system, large-language-models, chatbots, distributed serving.
- Also covers LLM Frameworks, Evaluation & Observability.
- - You are looking to train and evaluate state-of-the-art models such as Vicuna or MT-Bench.
When NOT to use FastChat
- - You require a proprietary or closed-source framework; FastChat is open-source under Apache-2.0 license and its use might be unsuitable for environments requiring proprietary solutions.
- - Your chatbot evaluation needs do not align with the types of data used in FastChat's datasets (e.g., human votes, MT-Bench evaluations).
- - You prefer a more user-friendly setup without the need to clone a repository and manually install dependencies; FastChat requires installation from source with additional steps for Rust and CMake on
- + Mac.
Choose alpaca-lora if…
- alpaca-lora is primarily Jupyter Notebook; FastChat is Python.
- Tags unique to alpaca-lora: jupyter notebook.
- Also covers Computer Vision.
- alpaca-lora ships Docker support for self-hosted deployment.
When NOT to use alpaca-lora
- Last GitHub push was 712 days ago (dormant maintenance, Jul 29, 2024). Validate activity before betting a new project on alpaca-lora.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (lm-sys/FastChat) · observed Jul 11, 2026
- GitHub forks (lm-sys/FastChat) · observed Jul 11, 2026
- Last push (lm-sys/FastChat) · observed May 1, 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 (tloen/alpaca-lora) · observed Jul 11, 2026
- GitHub forks (tloen/alpaca-lora) · observed Jul 11, 2026
- Last push (tloen/alpaca-lora) · observed Jul 29, 2024
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: FastChat 39k · alpaca-lora 19k (synced Jul 11, 2026).
Common questions
- What is the difference between FastChat and alpaca-lora?
- FastChat: An open platform for training, serving, and evaluating large language models. alpaca-lora: Instruct-tune LLaMA on consumer hardware. See the comparison table for live GitHub stats and shared categories.
- When should I choose FastChat over alpaca-lora?
- Choose FastChat over alpaca-lora when FastChat is primarily Python; alpaca-lora is Jupyter Notebook; Tags unique to FastChat: evaluation system, large-language-models, chatbots, distributed serving; Also covers LLM Frameworks, Evaluation & Observability; - You are looking to train and evaluate state-of-the-art models such as Vicuna or MT-Bench.
- When should I choose alpaca-lora over FastChat?
- Choose alpaca-lora over FastChat when alpaca-lora is primarily Jupyter Notebook; FastChat is Python; Tags unique to alpaca-lora: jupyter notebook; Also covers Computer Vision; alpaca-lora ships Docker support for self-hosted deployment.
- When should I avoid FastChat?
- - You require a proprietary or closed-source framework; FastChat is open-source under Apache-2.0 license and its use might be unsuitable for environments requiring proprietary solutions. - Your chatbot evaluation needs do not align with the types of data used in FastChat's datasets (e.g., human votes, MT-Bench evaluations). - You prefer a more user-friendly setup without the need to clone a repository and manually install dependencies; FastChat requires installation from source with additional steps for Rust and CMake on + Mac.
- When should I avoid alpaca-lora?
- Last GitHub push was 712 days ago (dormant maintenance, Jul 29, 2024). Validate activity before betting a new project on alpaca-lora. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- Is FastChat or alpaca-lora more popular on GitHub?
- FastChat has more GitHub stars (39,490 vs 18,913). Stars measure visibility, not whether either tool fits your constraints.
- Are FastChat and alpaca-lora open source?
- Yes - both are open-source projects on GitHub (FastChat: Apache-2.0, alpaca-lora: Apache-2.0).
- Where can I find alternatives to FastChat or alpaca-lora?
- GraphCanon lists graph-backed alternatives at FastChat alternatives and alpaca-lora alternatives (FastChat markdown twin, alpaca-lora 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, FastChat or alpaca-lora?
- FastChat: Steady. alpaca-lora: 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 FastChat and alpaca-lora?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FastChat trust report; alpaca-lora trust report.