GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
106views this month
Decision brief
LlamaFactory is a Python-based tool for efficient fine-tuning of over 100 large language models and vision-language models, supporting various methods like LoRA, QLoRA, and quantization.
Good fit when
- Use LlamaFactory when you need to fine-tune a wide range of large language models and vision-language models with methods like LoRA, QLoRA, and quantization.
- LlamaFactory is ideal for users who require a unified framework for efficient fine-tuning across multiple models, as it supports over 100 different models.
Avoid when
- Avoid LlamaFactory if you are working with models not included in its supported list of over 100 models, as it may not provide the necessary fine-tuning capabilities.
- Do not use LlamaFactory if you are working in an environment where Python or specific dependencies like PyTorch and bitsandbytes cannot be installed or are not supported.
- Requirements:
- Min 4 GB RAM; Requires Docker; Hardware requirements vary based on the method and model size. For example, full fine-tuning of a 7B model requires 120GB of memory, while QLoRA with 2-bit can ; Installation is mandatory and can be done from source or via Docker. Additional dependencies like `metrics` and `deepspeed` are optional.; For Windows users, manual installation of PyTorch with CUDA support is required, and bitsandbytes must be installed for QLoRA support.
Observed Sep 18, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Very active (4d since push)
- As of Sep 18, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 18, 2026
- Security (OSV)
- No lockfile
- As of Sep 18, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install LlamaFactoryHow it fits your stack(38)
Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.
Alternative
Integrates
Depends on
Related
Relationship graph
Optional deeper exploration of typed edges and category neighbours.
Similar tools
Same-category neighbours not already linked as typed edges.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
LlamaFactory is a Python-based tool for efficient fine-tuning of over 100 large language models and vision-language models, supporting various methods like LoRA, QLoRA, and quantization.
Capability facts
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Sep 18, 2026
- Languages
- python
Source: github.language+pyproject.toml · Sep 18, 2026
Categories
Graph entities
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 18, 2026)
This image is built on Ubuntu 22.04 (x86\_64), CUDA 12.4, Python 3.11, PyTorch 2.6.0, and Flash-attn 2.7.4.Source link
Tags
README
Hardware Requirement \ estimated Method Bits 7B 14B 30B 70B B Full ( or ) 32 120GB 240GB 600GB 1200GB GB Full ( ) 16 60GB 120GB 300GB 600GB GB Freeze/LoRA/GaLore/APOLLO/BAdam/OFT 16 16GB 32GB 64GB 160GB GB QLoRA / QOFT 8 10GB 20GB 40GB 80GB GB QLoRA / QOFT 4 6GB 12GB 24GB 48GB GB...
For agents
This page has a .md twin and JSON over the API.