Comparison
LlamaFactory vs harness-books
Verdict
Pick LlamaFactory when tags unique to LlamaFactory: agent, ai, deepseek, fine-tuning; pick harness-books when tags unique to harness-books: agentic-ai, ai-agents, ai-engineering, claude-code.
Markdown twin · LlamaFactory alternatives · harness-books alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | LlamaFactory | harness-books |
|---|---|---|
| Maintenance | Very active (0d since push) As of 1d · github_public_v1 | Steady (83d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1d · github_public_v1 | Not a fork · Personal account As of 1d · github_public_v1 |
| Security (OSV) | No lockfile As of 1d · none | No lockfile As of 1d · none |
Tagline
- LlamaFactory
- Unified Efficient Fine-Tuning of 100+ LLMs & VLMs
- harness-books
- 📚 Two books on harness engineering — the design philosophies behind Claude Code & Codex: constraints, query loops, context governance, multi-agent verification. harness-books.agentway.dev
Stars
- LlamaFactory
- 73k
- harness-books
- 2.6k
Forks
- LlamaFactory
- 8.9k
- harness-books
- 308
Open issues
- LlamaFactory
- 1.1k
- harness-books
- 5
Language
- LlamaFactory
- Python
- harness-books
- 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.
- harness-books
- -
Persona
- LlamaFactory
- -
- harness-books
- -
Runtime
- LlamaFactory
- -
- harness-books
- -
License
- LlamaFactory
- Apache-2.0
- harness-books
- -
Last pushed
- LlamaFactory
- Jul 10, 2026
- harness-books
- Apr 19, 2026
Categories
- LlamaFactory
- LLM Frameworks, Model Training
- harness-books
- AI Agents, LLM Frameworks, Model Training
Trust and health
Maintenance
- LlamaFactory
- Very active (96%)
- harness-books
- Steady (60%)
Days since push
- LlamaFactory
- 0d
- harness-books
- 83d
Open issues (now)
- LlamaFactory
- 1.1k
- harness-books
- 5
Full report
- LlamaFactory
- Trust report
- harness-books
- Trust report
Choose LlamaFactory if…
- Tags unique to LlamaFactory: agent, ai, deepseek, fine-tuning.
- When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA.
- More GitHub stars (73k vs 2.6k) - visibility, not fit.
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 harness-books if…
- Tags unique to harness-books: agentic-ai, ai-agents, ai-engineering, claude-code.
- Also covers AI Agents.
- Leaner open-issue backlog (5).
When NOT to use harness-books
- 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.
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 (wquguru/harness-books) · observed Jul 11, 2026
- GitHub forks (wquguru/harness-books) · observed Jul 11, 2026
- Last push (wquguru/harness-books) · observed Apr 19, 2026
- License file (unknown) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: LlamaFactory 73k · harness-books 2.6k (synced Jul 11, 2026).
Common questions
- What is the difference between LlamaFactory and harness-books?
- LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. harness-books: 📚 Two books on harness engineering — the design philosophies behind Claude Code & Codex: constraints, query loops, context governance, multi-agent verification. harness-books.agentway.dev. See the comparison table for live GitHub stats and shared categories.
- When should I choose LlamaFactory over harness-books?
- Choose LlamaFactory over harness-books when Tags unique to LlamaFactory: agent, ai, deepseek, fine-tuning; When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA; More GitHub stars (73k vs 2.6k) - visibility, not fit.
- When should I choose harness-books over LlamaFactory?
- Choose harness-books over LlamaFactory when Tags unique to harness-books: agentic-ai, ai-agents, ai-engineering, claude-code; Also covers AI Agents; Leaner open-issue backlog (5).
- 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 harness-books?
- 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.
- Is LlamaFactory or harness-books more popular on GitHub?
- LlamaFactory has more GitHub stars (73,157 vs 2,618). Stars measure visibility, not whether either tool fits your constraints.
- Are LlamaFactory and harness-books open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to LlamaFactory or harness-books?
- GraphCanon lists graph-backed alternatives at LlamaFactory alternatives and harness-books alternatives (LlamaFactory markdown twin, harness-books 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 harness-books?
- LlamaFactory: Very active. harness-books: Steady. 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 harness-books?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LlamaFactory trust report; harness-books trust report.