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[BEST_IN_NICHE // FINE-TUNING]

Best Fine-Tuning in August 2026

If you need a Fine-Tuning tool right now, our caveat-laden pick is kubeflow/trainer (velocity score 2.8/10). Score 2.8/10 — momentum has cooled. Look elsewhere unless you've already integrated. Other tools worth a look: unslothai/unsloth, hiyouga/LlamaFactory, modelscope/ms-swift. Rankings update daily — see the full top 10 below.

Top 3 picks
[RANK · #01]
AI-Hypercomputer/maxtext
stablescore 1.8/10+12 stars/7d
[RANK · #02]
unslothai/unsloth
acceleratingscore 1.8/10+2,779 stars/7d
[RANK · #03]
hiyouga/LlamaFactory
stablescore 1.8/10+183 stars/7d
Top 10 ranked
Tool
Velocity
Trend 30d
Δ 7d
Stars
Class
  • AI-Hypercomputer/maxtextA simple, performant, and scalable Jax LLM!
    1.83↑ +122.4kStable
  • unslothai/unslothLocal UI to run and train LLMs and diffusion models, including Qwen3.8, Kimi K3, MiniMax-H3, Gemma 4, DeepSeek-V4, FLUX and more.
    1.81↑ +2.8k74kAccel
  • hiyouga/LlamaFactoryUnified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
    1.81↑ +18374kStable
  • modelscope/ms-swiftUse PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.6, DeepSeek-V4, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM4.5v, Gemma4, Llava, Phi4, ...) (AAAI 2025).
    1.53↑ +15015kAccel
  • NVIDIA-NeMo/CuratorScalable data pre processing and curation toolkit for LLMs
    1.44↑ +141.7kStable
  • axolotl-ai-cloud/axolotlGo ahead and axolotl questions
    1.05↑ +2512kStable
  • datawhalechina/self-llm《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调(全参数/Lora)、部署国内外开源大模型(LLM)/多模态大模型(MLLM)教程
    0.87↑ +8932kStable
  • AIDotNet/OpenDeepWikiOpenDeepWiki is the open-source version of the DeepWiki project, aiming to provide a powerful knowledge management and collaboration platform. The project is mainly developed using C# and TypeScript, supporting modular design, and is easy to expand and customize.
    0.83↑ +103.5kStable
Frequently asked

What's the best Fine-Tuning right now?

kubeflow/trainer. Beam ranks Fine-Tuning tools at 2.8/10 velocity. Score 2.8/10 — momentum has cooled. Look elsewhere unless you've already integrated.

What other Fine-Tuning tools should I consider?

Beyond AI-Hypercomputer/maxtext, the next four highest-velocity Fine-Tuning tools beam tracks are unslothai/unsloth, hiyouga/LlamaFactory, modelscope/ms-swift, NVIDIA-NeMo/Curator. Open any tool's profile for the full signal breakdown.

How does beam rank Fine-Tuning tools?

Beam fuses five orthogonal signals into a single velocity score: code activity, package adoption, research citation, sentiment, and production signals. The score multiplies across signals, so any one signal collapsing pulls the whole score down — that's how beam catches stars-up-commits-down decay. Full methodology at /about/methodology.

Is kubeflow/trainer actively maintained?

See the live status check at /tools/1919/status for the direct-answer verdict, last-commit timestamp, and 90-day velocity chart. Beam refreshes daily.

Full Fine-Tuning feed Methodology All niche picks
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