Home/Compare/LlamaFactory vs BELLE

Comparison

LlamaFactory vs BELLE

Verdict

Pick LlamaFactory if 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; pick BELLE if bELLE is an open-source Chinese dialogue large model that focuses on improving instruction-following capabilities through fine-tuned pre-training models.

Markdown twin · LlamaFactory alternatives · BELLE alternatives

GraphCanon updated 1w

LlamaFactory logo

LlamaFactory

hiyouga/LlamaFactory

74kpushed Aug 13, 2026
vs
BELLE logo

BELLE

LianjiaTech/BELLE

8.3kpushed Oct 16, 2024

Trust & integrity

SignalLlamaFactoryBELLE
Maintenance
Very active (2d since push)
As of 1w · github_public_v1
Dormant (654d since push)
As of 3w · github_public_v1
Provenance
Not a fork · Personal account
As of 1w · github_public_v1
Not a fork · Organization account
As of 3w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No published findings from this source as of 2026-07-11
As of 1mo · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

LlamaFactory
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs
BELLE
Open-source Chinese dialogue large model

Stars

LlamaFactory
74k
BELLE
8.3k

Forks

LlamaFactory
9.1k
BELLE
758

Open issues

LlamaFactory
1.1k
BELLE
106

Language

LlamaFactory
Python
BELLE
HTML

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.
BELLE
BELLE is an open-source Chinese dialogue large model that focuses on improving instruction-following capabilities through fine-tuned pre-training models.

Persona

LlamaFactory
-
BELLE
-

Runtime

LlamaFactory
-
BELLE
-

License

LlamaFactory
Apache-2.0
BELLE
Available under the Apache-2.0 license.

Last pushed

LlamaFactory
Aug 13, 2026
BELLE
Oct 16, 2024

Categories

LlamaFactory
LLM Frameworks, Model Training
BELLE
Inference & Serving, LLM Frameworks, Model Training

Trust and health

Maintenance

LlamaFactory
Very active (96%)
BELLE
Dormant (18%)

Days since push

LlamaFactory
2d
BELLE
654d

Open issues (now)

LlamaFactory
1.1k
BELLE
106

Stars delta

LlamaFactory
+803 (30d)
BELLE
Unknown

Open issues delta

LlamaFactory
+39 (30d)
BELLE
Unknown

Owner type

LlamaFactory
User
BELLE
Organization

OSV dependency advisories

LlamaFactory
No lockfile (source not queried)
BELLE
No published findings from this source as of 2026-07-11

Full report

LlamaFactory
Trust report

Choose LlamaFactory if…

  • LlamaFactory is primarily Python; BELLE is HTML.
  • 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.

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 BELLE if…

  • BELLE is primarily HTML; LlamaFactory is Python.
  • BELLE models are hosted on Hugging Face, contributing to a growing ecosystem of open-source language models.
  • Pricing: Free for non-commercial use under the Apache 2.0 license; commercial projects should review compliance or seek additional licensing options as needed..
  • Tags unique to BELLE: chinese-nlp, gpt-evaluation, instruct-finetune, llama.
  • Also covers Inference & Serving.
  • When you need a specifically optimized language model for the Chinese language with enhanced dialogue capabilities.

When NOT to use BELLE

  • When the project requires a multi-lingual model or extensive support for languages other than Chinese.
  • For applications that do not need fine-tuned instruction-following capabilities, since BELLE is particularly optimized for this aspect using data from ChatGPT exclusively.
  • If real-time voice recognition speed is critical and a slight delay can be tolerated, as alternatives may offer more balanced performance.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: LlamaFactory 74k · BELLE 8.3k (synced Aug 16, 2026).

Common questions

What is the difference between LlamaFactory and BELLE?
LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. BELLE: Open-source Chinese dialogue large model. See the comparison table for live GitHub stats and shared categories.
When should I choose LlamaFactory over BELLE?
Choose LlamaFactory over BELLE when LlamaFactory is primarily Python; BELLE is HTML; 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.
When should I choose BELLE over LlamaFactory?
Choose BELLE over LlamaFactory when BELLE is primarily HTML; LlamaFactory is Python; BELLE models are hosted on Hugging Face, contributing to a growing ecosystem of open-source language models; Pricing: Free for non-commercial use under the Apache 2.0 license; commercial projects should review compliance or seek additional licensing options as needed.; Tags unique to BELLE: chinese-nlp, gpt-evaluation, instruct-finetune, llama; Also covers Inference & Serving; When you need a specifically optimized language model for the Chinese language with enhanced dialogue capabilities.
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 BELLE?
When the project requires a multi-lingual model or extensive support for languages other than Chinese. For applications that do not need fine-tuned instruction-following capabilities, since BELLE is particularly optimized for this aspect using data from ChatGPT exclusively. If real-time voice recognition speed is critical and a slight delay can be tolerated, as alternatives may offer more balanced performance.
Is LlamaFactory or BELLE more popular on GitHub?
LlamaFactory has more GitHub stars (74,132 vs 8,280). Stars measure visibility, not whether either tool fits your constraints.
Are LlamaFactory and BELLE open source?
Yes - both are open-source projects on GitHub (LlamaFactory: Apache-2.0, BELLE: Apache-2.0).
Where can I find alternatives to LlamaFactory or BELLE?
GraphCanon lists graph-backed alternatives at LlamaFactory alternatives and BELLE alternatives (LlamaFactory markdown twin, BELLE 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 BELLE?
LlamaFactory: Very active. BELLE: 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 BELLE?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LlamaFactory trust report; BELLE trust report.

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