--- title: "LlamaFactory vs EmotiVoice" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hiyouga-llamafactory-vs-netease-youdao-emotivoice" tools: ["hiyouga-llamafactory", "netease-youdao-emotivoice"] --- # LlamaFactory vs EmotiVoice *GraphCanon updated Jul 11, 2026* ## Verdict Pick LlamaFactory when tags unique to LlamaFactory: agent, deepseek, fine-tuning, gemma; pick EmotiVoice when tags unique to EmotiVoice: deep-learning, emotion, emotivoice, multi-speaker. [LlamaFactory](https://llamafactory.readthedocs.io) reports 73k GitHub stars, 8.9k forks, and 1.1k open issues, last pushed Jul 10, 2026. [EmotiVoice](https://github.com/netease-youdao/EmotiVoice) has 8.5k stars, 754 forks, and 139 open issues, last pushed Aug 13, 2024. Figures are from public GitHub metadata via [LlamaFactory's repository](https://github.com/hiyouga/LlamaFactory) and [EmotiVoice's repository](https://github.com/netease-youdao/EmotiVoice). | | [LlamaFactory](/tools/hiyouga-llamafactory.md) | [EmotiVoice](/tools/netease-youdao-emotivoice.md) | | --- | --- | --- | | Tagline | Unified Efficient Fine-Tuning of 100+ LLMs & VLMs | EmotiVoice 😊: a Multi-Voice and Prompt-Controlled TTS Engine | | Stars | 73,157 | 8,485 | | Forks | 8,937 | 754 | | Open issues | 1,067 | 139 | | 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 | Apache-2.0 | | Categories | LLM Frameworks, Model Training | LLM Frameworks, Model Training, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [LlamaFactory](/tools/hiyouga-llamafactory.md) | [EmotiVoice](/tools/netease-youdao-emotivoice.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 697d | | Open issues (now) | 1.1k | 139 | | Security scan | No lockfile | No criticals | | Full report | [trust report](/tools/hiyouga-llamafactory/trust.md) | [trust report](/tools/netease-youdao-emotivoice/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, deepseek, fine-tuning, 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 8.5k) - visibility, not fit. ### Choose EmotiVoice if… - Tags unique to EmotiVoice: deep-learning, emotion, emotivoice, multi-speaker. - Also covers Speech & Audio. - EmotiVoice ships Docker support for self-hosted deployment. ## 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 EmotiVoice - Last GitHub push was 698 days ago (dormant maintenance, Aug 13, 2024). Validate activity before betting a new project on EmotiVoice. - 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 EmotiVoice? LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. EmotiVoice: EmotiVoice 😊: a Multi-Voice and Prompt-Controlled TTS Engine. See the comparison table for live GitHub stats and shared categories. ### When should I choose LlamaFactory over EmotiVoice? Choose LlamaFactory over EmotiVoice when Tags unique to LlamaFactory: agent, deepseek, fine-tuning, 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 8.5k) - visibility, not fit. ### When should I choose EmotiVoice over LlamaFactory? Choose EmotiVoice over LlamaFactory when Tags unique to EmotiVoice: deep-learning, emotion, emotivoice, multi-speaker; Also covers Speech & Audio; EmotiVoice 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 EmotiVoice? Last GitHub push was 698 days ago (dormant maintenance, Aug 13, 2024). Validate activity before betting a new project on EmotiVoice. 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 EmotiVoice more popular on GitHub? LlamaFactory has more GitHub stars (73,157 vs 8,485). Stars measure visibility, not whether either tool fits your constraints. ### Are LlamaFactory and EmotiVoice open source? Yes - both are open-source projects on GitHub (LlamaFactory: Apache-2.0, EmotiVoice: Apache-2.0). ### Where can I find alternatives to LlamaFactory or EmotiVoice? GraphCanon lists graph-backed alternatives at [LlamaFactory alternatives](/tools/hiyouga-llamafactory/alternatives) and [EmotiVoice alternatives](/tools/netease-youdao-emotivoice/alternatives) ([LlamaFactory markdown twin](/tools/hiyouga-llamafactory/alternatives.md), [EmotiVoice markdown twin](/tools/netease-youdao-emotivoice/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-netease-youdao-emotivoice.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, LlamaFactory or EmotiVoice? LlamaFactory: Very active. EmotiVoice: 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 EmotiVoice? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [LlamaFactory trust report](/tools/hiyouga-llamafactory/trust); [EmotiVoice trust report](/tools/netease-youdao-emotivoice/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/_