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[BEST_IN_NICHE // FINE-TUNING]

Best Fine-Tuning in July 2026

If you need a Fine-Tuning tool right now, our caveat-laden pick is NVIDIA-NeMo/Nemotron (velocity score 2.1/10). Score 2.1/10 — momentum has cooled. Look elsewhere unless you've already integrated. Other tools worth a look: AI-Hypercomputer/maxtext, unslothai/unsloth, axolotl-ai-cloud/axolotl. Rankings update daily — see the full top 10 below.

Top 3 picks
[RANK · #01]
hiyouga/LlamaFactory
stablescore 1.8/10+247 stars/7d
[RANK · #02]
AI-Hypercomputer/maxtext
stablescore 1.5/10+8 stars/7d
[RANK · #03]
unslothai/unsloth
stablescore 1.4/10+260 stars/7d
Top 10 ranked
Tool
Velocity
Trend 30d
Δ 7d
Stars
Class
  • hiyouga/LlamaFactoryUnified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
    1.83↑ +24773kStable
  • AI-Hypercomputer/maxtextA simple, performant, and scalable Jax LLM!
    1.49↑ +82.3kStable
  • unslothai/unslothUnsloth Studio is a web UI for training and running open models like Gemma 4, Qwen3.6, DeepSeek, gpt-oss locally.
    1.45↑ +26068kStable
  • axolotl-ai-cloud/axolotlGo ahead and axolotl questions
    1.28↑ +5112kStable
  • 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).
    1.28↑ +7515kStable
  • NVIDIA-NeMo/CuratorScalable data pre processing and curation toolkit for LLMs
    1.24↑ +101.7kStable
  • 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
    0.95↑ +10431kStable
  • rasbt/reasoning-from-scratchImplement a reasoning LLM in PyTorch from scratch, step by step
    0.54↑ +984.7kAccel
Frequently asked

What's the best Fine-Tuning right now?

NVIDIA-NeMo/Nemotron. Beam ranks Fine-Tuning tools at 2.1/10 velocity. Score 2.1/10 — momentum has cooled. Look elsewhere unless you've already integrated.

What other Fine-Tuning tools should I consider?

Beyond hiyouga/LlamaFactory, the next four highest-velocity Fine-Tuning tools beam tracks are AI-Hypercomputer/maxtext, unslothai/unsloth, axolotl-ai-cloud/axolotl, modelscope/ms-swift. 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 NVIDIA-NeMo/Nemotron actively maintained?

See the live status check at /tools/1927/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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