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#sft (9 Repositories)

Ranked open-source repositories tagged with #sft, scored by pull request acceptance likelihood and maintainer engagement velocity.

Topic Avg Merge Rate

33.7%

Avg Review Latency

26.6h

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9 repositories tagged #sft

S TierPython 679 2 GFIs

baidu-baige/LoongForge

A high-performance framework for training LLMs, VLMs, diffusion, and embodied models on NVIDIA GPUs and Kunlun XPUs. Supports Pi0.5, GR00T-N1.7, FastWAM, Cosmos3, DreamZero, DeepSeek-V4, GLM-5.3, Kimi-K3 and more.

83.9%
Merge Rate
-
First Review
88%
1st-Timers
12
Maintainers
A TierPython 15.8k

modelscope/ms-swift

Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.8, DeepSeek-V4, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM5.3, Gemma4, Llava, Phi4, ...) (AAAI 2025).

71.8%
Merge Rate
-
First Review
53%
1st-Timers
50
Maintainers
A TierPython 9.4k

oumi-ai/oumi

Easily fine-tune (SFT/RL), evaluate, and deploy Qwen, Gemma, or any open agentic LLM/VLM!

38.4%
Merge Rate
3h
First Review
22%
1st-Timers
9
Maintainers
A TierC++ 853

invergent-ai/surogate

Train and serve LLMs at extreme speed and massive throughput.

73.3%
Merge Rate
9d
First Review
100%
1st-Timers
1
Maintainers
B TierPython 323

inclusionAI/AReno

An easy-to-use, fast toolkit to scale up RL post-training on a single node.

35.7%
Merge Rate
1d
First Review
13%
1st-Timers
77
Maintainers
D TierPython 649

choosewhatulike/trainable-agents

Code and datasets for "Character-LLM: A Trainable Agent for Role-Playing"

0.0%
Merge Rate
-
First Review
0%
1st-Timers
0
Maintainers
D TierPython 131

fangpin/llm-from-scratch

Build LLM from scratch

0.0%
Merge Rate
-
First Review
0%
1st-Timers
0
Maintainers
D TierPython 1.2k

InternScience/GraphGen

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation

0.0%
Merge Rate
-
First Review
0%
1st-Timers
0
Maintainers
D TierJUJupyter Notebook 1.5k

datawhalechina/diy-llm

Covers pre-training data, Tokenizer, Transformer, MoE,distributed training, Scaling Laws, inference & alignment .6 progressive code assignments for full-stack LLM learning | 涵盖预训练数据、分词器、Transformer、MoE、分布式训练、缩放定律、推理与对齐,6 项渐进代码作业,掌握 LLM 全栈知识

0.0%
Merge Rate
-
First Review
0%
1st-Timers
0
Maintainers
Best Sft Open Source Repositories & C-Rank™ | GetMerged