LLaMA Factory vs Together AI Fine-tuning

LLaMA Factory

Fine-tuning

Together AI Fine-tuning

Fine-tuning

Tagline

LLaMA Factory

Open-source, no-code WebUI for fine-tuning 100+ open LLMs with LoRA, QLoRA, DPO, and PPO.

Together AI Fine-tuning

Managed fine-tuning platform for open-source LLMs and vision models with LoRA, full fine-tuning, and RL support.

Pricing

LLaMA Factory

Free· Free, open-source (Apache-2.0); self-hosted

Together AI Fine-tuning

Paid· Usage-based; cost estimator in-product, no public price list

Free trial

LLaMA Factory

Yes

Together AI Fine-tuning

Yes

API

LLaMA Factory

Yes

Together AI Fine-tuning

Yes

Platforms

LLaMA Factory

api

Together AI Fine-tuning

apiweb

Open source

LLaMA Factory

Yes · Apache-2.0

Together AI Fine-tuning

Not listed

GitHub stars

LLaMA Factory

75,193

checked 2026-09-29

Together AI Fine-tuning

—

Last GitHub push

LLaMA Factory

2026-09-28

Together AI Fine-tuning

—

First commit

LLaMA Factory

2023-05

Together AI Fine-tuning

—

Model used

LLaMA Factory

Multi-model (LLaMA, Mistral, Qwen, Gemma, Phi, LLaVA, ChatGLM, Yi)

Together AI Fine-tuning

Multi-model (any Hugging Face open-source model)

Best for

LLaMA Factory

Pick LLaMA Factory if you want one tool to fine-tune any open-weight LLM on your own hardware without writing custom training scripts.

Together AI Fine-tuning

Pick Together AI Fine-tuning if you're a production team that wants to own custom open-weight models without buying a GPU cluster.

Not for

LLaMA Factory

Skip it if you want a managed, click-to-train cloud service or don't have access to suitable GPUs.

Together AI Fine-tuning

Skip it if you're happy calling closed APIs, need a fixed published price, or just want a one-click hobbyist LoRA notebook.

Editorial score

LLaMA Factory

7.2 / 10

Together AI Fine-tuning

8.1 / 10

Use cases

LLaMA Factory

lora-fine-tuningqloradpo-alignmentinstruction-tuningrlhfvlm-fine-tuning

Together AI Fine-tuning

llm-fine-tuningvision-fine-tuningreinforcement-learningtool-calling-trainingdomain-adaptation

Pros

LLaMA Factory

• No-code WebUI (LlamaBoard) covers SFT, DPO, PPO, KTO, and reward modeling
• Supports 100+ open models including multimodal VLMs out of the box
• Full QLoRA stack (2-8 bit) plus LoRA+, DoRA, PiSSA variants
• Acceleration via FlashAttention-2, Unsloth, Liger Kernel, vLLM inference
• Exports to GGUF / Ollama and integrates with W&B, MLflow, TensorBoard

Together AI Fine-tuning

• Supports any open-source model on Hugging Face Hub
• LoRA, full fine-tune, RL, and tool-calling in one platform
• Vision fine-tuning on raw image data (Llama-4, Qwen3-VL)
• SOC 2 Type II + ISO 27001 with regional data residency
• Direct deploy to Together's inference stack after training

Cons

LLaMA Factory

• Self-hosted only — you bring the GPUs and the ops
• Rapid release cadence means version pinning is essential
• WebUI abstracts but does not solve VRAM and dataset-formatting pitfalls

Together AI Fine-tuning

• No public pricing — cost estimator only after signup
• Closed-source platform despite open-weight focus
• Overkill for hobbyists who just want a quick LoRA

Website

LLaMA Factory

llamafactory.readthedocs.io

Together AI Fine-tuning

www.together.ai

Editorial score: rule-based, 0–10, from AI-assisted profile inputs (see /methodology) — not a user rating; “—” means unscored. “Not listed” means we have no record of it, not that it is absent. GitHub figures and prices carry the date they were checked or captured; prices are shown as published, unconverted.