Home/Compare/LlamaFactory vs local-llm-function-calling

Comparison

LlamaFactory vs local-llm-function-calling

Verdict

Pick LlamaFactory when license: LlamaFactory is Apache-2.0, local-llm-function-calling is MIT; pick local-llm-function-calling when license: local-llm-function-calling is MIT, LlamaFactory is Apache-2.0.

Markdown twin · LlamaFactory alternatives · local-llm-function-calling alternatives

GraphCanon updated 1d

LlamaFactory logo

LlamaFactory

hiyouga/LlamaFactory

73kpushed Jul 10, 2026
vs
local-llm-function-calling logo

local-llm-function-calling

rizerphe/local-llm-function-calling

435pushed Mar 12, 2024

Trust & integrity

SignalLlamaFactorylocal-llm-function-calling
Maintenance
Very active (0d since push)
As of 1d · github_public_v1
Dormant (850d 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
local-llm-function-calling
A tool for generating function arguments and choosing what function to call with local LLMs

Stars

LlamaFactory
73k
local-llm-function-calling
435

Forks

LlamaFactory
8.9k
local-llm-function-calling
41

Open issues

LlamaFactory
1.1k
local-llm-function-calling
6

Language

LlamaFactory
Python
local-llm-function-calling
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.
local-llm-function-calling
-

Persona

LlamaFactory
-
local-llm-function-calling
-

Runtime

LlamaFactory
-
local-llm-function-calling
-

License

LlamaFactory
Apache-2.0
local-llm-function-calling
MIT

Last pushed

LlamaFactory
Jul 10, 2026
local-llm-function-calling
Mar 12, 2024

Categories

LlamaFactory
LLM Frameworks, Model Training
local-llm-function-calling
Inference & Serving, LLM Frameworks, Model Training

Trust and health

Maintenance

LlamaFactory
Very active (96%)
local-llm-function-calling
Dormant (18%)

Days since push

LlamaFactory
0d
local-llm-function-calling
850d

Open issues (now)

LlamaFactory
1.1k
local-llm-function-calling
6

Full report

LlamaFactory
Trust report
local-llm-function-calling
Trust report

Choose LlamaFactory if…

  • License: LlamaFactory is Apache-2.0, local-llm-function-calling is MIT.
  • 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 local-llm-function-calling if…

  • License: local-llm-function-calling is MIT, LlamaFactory is Apache-2.0.
  • Tags unique to local-llm-function-calling: chatgpt-functions, huggingface-transformers, json-schema, llm.
  • Also covers Inference & Serving.

When NOT to use local-llm-function-calling

  • Last GitHub push was 851 days ago (dormant maintenance, Mar 12, 2024). Validate activity before betting a new project on local-llm-function-calling.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
  • 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 on cards: LlamaFactory 73k · local-llm-function-calling 435 (synced Jul 11, 2026).

Common questions

What is the difference between LlamaFactory and local-llm-function-calling?
LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. local-llm-function-calling: A tool for generating function arguments and choosing what function to call with local LLMs. See the comparison table for live GitHub stats and shared categories.
When should I choose LlamaFactory over local-llm-function-calling?
Choose LlamaFactory over local-llm-function-calling when License: LlamaFactory is Apache-2.0, local-llm-function-calling is MIT; 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 local-llm-function-calling over LlamaFactory?
Choose local-llm-function-calling over LlamaFactory when License: local-llm-function-calling is MIT, LlamaFactory is Apache-2.0; Tags unique to local-llm-function-calling: chatgpt-functions, huggingface-transformers, json-schema, llm; Also covers Inference & Serving.
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 local-llm-function-calling?
Last GitHub push was 851 days ago (dormant maintenance, Mar 12, 2024). Validate activity before betting a new project on local-llm-function-calling. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. 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 local-llm-function-calling more popular on GitHub?
LlamaFactory has more GitHub stars (73,157 vs 435). Stars measure visibility, not whether either tool fits your constraints.
Are LlamaFactory and local-llm-function-calling open source?
Yes - both are open-source projects on GitHub (LlamaFactory: Apache-2.0, local-llm-function-calling: MIT).
Where can I find alternatives to LlamaFactory or local-llm-function-calling?
GraphCanon lists graph-backed alternatives at LlamaFactory alternatives and local-llm-function-calling alternatives (LlamaFactory markdown twin, local-llm-function-calling 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 local-llm-function-calling?
LlamaFactory: Very active. local-llm-function-calling: 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 local-llm-function-calling?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LlamaFactory trust report; local-llm-function-calling trust report.