Fine-Tuning & Training FrameworksfreeNew

ms-swift (ModelScope)

Fine-tuning and deployment framework supporting hundreds of LLMs and multimodal models

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What ms-swift (ModelScope) does

  • Fine-tuning and deployment framework supporting hundreds of LLMs and multimodal models
  • LoRA, full-parameter, DPO, GRPO and quantization in one toolkit
  • Apache-2.0, maintained by Alibaba's ModelScope community

ms-swift (ModelScope) — straight answers

What is ms-swift (ModelScope)?

ms-swift (ModelScope) is listed under Fine-Tuning & Training Frameworks, in the AI Models & Local Execution category on Flocci AI Tools. Fine-tuning and deployment framework supporting hundreds of LLMs and multimodal models. It is free, with no paid plan attached, and it lives at github.com.

Is ms-swift (ModelScope) free?

ms-swift (ModelScope) is listed as fully free — there is no paid tier attached to it in the catalog. That makes it one of the 399 entries on Flocci AI Tools with no upgrade path built in.

What can ms-swift (ModelScope) do?

ms-swift (ModelScope) does 3 things the catalog singles out: Fine-tuning and deployment framework supporting hundreds of llms and multimodal models; lora, full-parameter, dpo, grpo and quantization in one toolkit; apache-2.0, maintained by alibaba's modelscope community.

What is the best free alternative to ms-swift (ModelScope)?

AI Toolkit (Ostris) is the closest free alternative: it sits in the same Fine-Tuning & Training Frameworks sub-category and is free. Axolotl, LitGPT and LLaMA-Factory also start free. The full list is on the alternatives page.

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ms-swift (ModelScope) alternatives

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Unsloth

Fine-Tuning & Training Frameworks
free
  • Fine-tunes LLMs, diffusion, TTS and embedding models 2x faster with ~70% less VRAM than standard Hugging Face training
  • Free Google Colab notebooks let anyone fine-tune open models like Llama/Qwen/GLM on a free T4 GPU
  • Supports LoRA, QLoRA, full fine-tuning, GRPO and DPO reinforcement/preference tuning in one library
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Axolotl

Fine-Tuning & Training Frameworks
free
  • Config-file-driven fine-tuning workflow (YAML) covering LoRA, QLoRA, full fine-tuning, preference tuning and RL
  • Broad multi-model and multimodal training support with GPU-efficiency optimizations built in
  • Popular choice for reproducible post-training recipes shared across the open-model community
Visit

LLaMA-Factory

Fine-Tuning & Training Frameworks
free
  • Zero-code Web UI (LLaMA Board) for fine-tuning 100+ open models without writing training scripts
  • Supports full-tuning, LoRA, 2/3/4/5/6/8-bit QLoRA, DPO, PPO, GaLore and PiSSA in one framework
  • Used internally by Amazon, NVIDIA and Aliyun for open-model post-training
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TRL (Hugging Face)

Fine-Tuning & Training Frameworks
freeNew
  • Post-training library covering SFT, DPO, GRPO and reward modeling for open LLMs
  • Integrates with Transformers, PEFT and vLLM
  • Apache-2.0
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LitGPT

Fine-Tuning & Training Frameworks
freeNew
  • Clean from-scratch implementations of 20+ LLMs for pretraining, fine-tuning and deployment
  • YAML recipes with LoRA, QLoRA and FSDP
  • Apache-2.0
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AI Toolkit (Ostris)

Fine-Tuning & Training Frameworks
freeNew
  • All-in-one trainer for LoRAs on diffusion and video models (FLUX, Wan and more)
  • Web UI and config-file workflows, runs on consumer GPUs
  • MIT licensed
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Head-to-head comparisons

ms-swift (ModelScope) vs Unslothms-swift (ModelScope) vs Axolotlms-swift (ModelScope) vs LLaMA-Factoryms-swift (ModelScope) vs TRL (Hugging Face)ms-swift (ModelScope) vs LitGPTms-swift (ModelScope) vs AI Toolkit (Ostris)