---
title: "LlamaFactory vs LLM-RLHF-Tuning"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/hiyouga-llamafactory-vs-joyce94-llm-rlhf-tuning"
tools: ["hiyouga-llamafactory", "joyce94-llm-rlhf-tuning"]
---

# LlamaFactory vs LLM-RLHF-Tuning

*GraphCanon updated Jul 11, 2026*

## Verdict

Pick LlamaFactory when tags unique to LlamaFactory: agent, ai, deepseek, gemma; pick LLM-RLHF-Tuning when tags unique to LLM-RLHF-Tuning: language-model, llama, llm, lora.

[LlamaFactory](https://llamafactory.readthedocs.io) reports 73k GitHub stars, 8.9k forks, and 1.1k open issues, last pushed Jul 10, 2026. [LLM-RLHF-Tuning](https://github.com/Joyce94/LLM-RLHF-Tuning) has 452 stars, 24 forks, and 3 open issues, last pushed Oct 11, 2023. Figures are from public GitHub metadata via [LlamaFactory's repository](https://github.com/hiyouga/LlamaFactory) and [LLM-RLHF-Tuning's repository](https://github.com/Joyce94/LLM-RLHF-Tuning).

| | [LlamaFactory](/tools/hiyouga-llamafactory.md) | [LLM-RLHF-Tuning](/tools/joyce94-llm-rlhf-tuning.md) |
| --- | --- | --- |
| Tagline | Unified Efficient Fine-Tuning of 100+ LLMs & VLMs | LLM Tuning with PEFT (SFT+RM+PPO+DPO with LoRA) |
| Stars | 73,157 | 452 |
| Forks | 8,937 | 24 |
| Open issues | 1,067 | 3 |
| Language | Python | Python |
| Adopt for | 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. | - |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | - |
| Categories | LLM Frameworks, Model Training | LLM Frameworks, Model Training |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [LlamaFactory](/tools/hiyouga-llamafactory.md) | [LLM-RLHF-Tuning](/tools/joyce94-llm-rlhf-tuning.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Dormant (18%) |
| Days since push | 0d | 1004d |
| Open issues (now) | 1.1k | 3 |
| Full report | [trust report](/tools/hiyouga-llamafactory/trust.md) | [trust report](/tools/joyce94-llm-rlhf-tuning/trust.md) |

## Decision facts: LlamaFactory

- **Adopt for:** 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.

## Choose when

### Choose LlamaFactory if…

- Tags unique to LlamaFactory: agent, ai, deepseek, gemma.
- When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA.
- More GitHub stars (73k vs 452) - visibility, not fit.

### Choose LLM-RLHF-Tuning if…

- Tags unique to LLM-RLHF-Tuning: language-model, llama, llm, lora.
- Leaner open-issue backlog (3).

## 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

## When NOT to use LLM-RLHF-Tuning

- Last GitHub push was 1005 days ago (dormant maintenance, Oct 11, 2023). Validate activity before betting a new project on LLM-RLHF-Tuning.
- 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.

## Common questions

### What is the difference between LlamaFactory and LLM-RLHF-Tuning?

LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. LLM-RLHF-Tuning: LLM Tuning with PEFT (SFT+RM+PPO+DPO with LoRA). See the comparison table for live GitHub stats and shared categories.

### When should I choose LlamaFactory over LLM-RLHF-Tuning?

Choose LlamaFactory over LLM-RLHF-Tuning when Tags unique to LlamaFactory: agent, ai, deepseek, gemma; When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA; More GitHub stars (73k vs 452) - visibility, not fit.

### When should I choose LLM-RLHF-Tuning over LlamaFactory?

Choose LLM-RLHF-Tuning over LlamaFactory when Tags unique to LLM-RLHF-Tuning: language-model, llama, llm, lora; Leaner open-issue backlog (3).

### 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 LLM-RLHF-Tuning?

Last GitHub push was 1005 days ago (dormant maintenance, Oct 11, 2023). Validate activity before betting a new project on LLM-RLHF-Tuning. 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 LLM-RLHF-Tuning more popular on GitHub?

LlamaFactory has more GitHub stars (73,157 vs 452). Stars measure visibility, not whether either tool fits your constraints.

### Are LlamaFactory and LLM-RLHF-Tuning open source?

Yes - both are open-source projects on GitHub.

### Where can I find alternatives to LlamaFactory or LLM-RLHF-Tuning?

GraphCanon lists graph-backed alternatives at [LlamaFactory alternatives](/tools/hiyouga-llamafactory/alternatives) and [LLM-RLHF-Tuning alternatives](/tools/joyce94-llm-rlhf-tuning/alternatives) ([LlamaFactory markdown twin](/tools/hiyouga-llamafactory/alternatives.md), [LLM-RLHF-Tuning markdown twin](/tools/joyce94-llm-rlhf-tuning/alternatives.md)), 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](/compare/hiyouga-llamafactory-vs-joyce94-llm-rlhf-tuning.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, LlamaFactory or LLM-RLHF-Tuning?

LlamaFactory: Very active. LLM-RLHF-Tuning: 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 LLM-RLHF-Tuning?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [LlamaFactory trust report](/tools/hiyouga-llamafactory/trust); [LLM-RLHF-Tuning trust report](/tools/joyce94-llm-rlhf-tuning/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=hiyouga-llamafactory`](/api/graphcanon/graph?tool=hiyouga-llamafactory)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_