[refactor]: Change named 'KT-SFT' to 'kt-sft' (#1626)

* Change named 'KT-SFT' to 'kt-sft'

* [docs]: update kt-sft name

---------

Co-authored-by: ZiWei Yuan <yzwliam@126.com>
This commit is contained in:
Peilin Li
2025-11-17 11:48:42 +08:00
committed by GitHub
parent 2887050ca1
commit 171578a7ec
386 changed files with 33 additions and 33 deletions

View File

@@ -8,12 +8,12 @@
</p>
<h3>A Flexible Framework for Experiencing Cutting-edge LLM Inference/Fine-tune Optimizations</h3>
<strong><a href="#-overview">🎯 Overview</a> | <a href="#-kt-kernel---high-performance-inference-kernels">🚀 kt-kernel</a> | <a href="#-kt-sft---fine-tuning-framework">🎓 KT-SFT</a> | <a href="#-citation">🔥 Citation</a> | <a href="https://github.com/kvcache-ai/ktransformers/issues/1582">🚀 Roadmap(2025Q4)</a> </strong>
<strong><a href="#-overview">🎯 Overview</a> | <a href="#-kt-kernel---high-performance-inference-kernels">🚀 kt-kernel</a> | <a href="#-kt-sft---fine-tuning-framework">🎓 kt-sft</a> | <a href="#-citation">🔥 Citation</a> | <a href="https://github.com/kvcache-ai/ktransformers/issues/1582">🚀 Roadmap(2025Q4)</a> </strong>
</div>
## 🎯 Overview
KTransformers is a research project focused on efficient inference and fine-tuning of large language models through CPU-GPU heterogeneous computing. The project has evolved into **two core modules**: [kt-kernel](./kt-kernel/) and [KT-SFT](./KT-SFT/).
KTransformers is a research project focused on efficient inference and fine-tuning of large language models through CPU-GPU heterogeneous computing. The project has evolved into **two core modules**: [kt-kernel](./kt-kernel/) and [kt-sft](./kt-sft/).
## 🔥 Updates
@@ -79,7 +79,7 @@ pip install .
---
### 🎓 [KT-SFT](./KT-SFT/) - Fine-Tuning Framework
### 🎓 [kt-sft](./kt-sft/) - Fine-Tuning Framework
KTransformers × LLaMA-Factory integration for ultra-large MoE model fine-tuning.
@@ -101,12 +101,12 @@ KTransformers × LLaMA-Factory integration for ultra-large MoE model fine-tuning
**Quick Start:**
```bash
cd KT-SFT
# Install environment following KT-SFT/README.md
cd kt-sft
# Install environment following kt-sft/README.md
USE_KT=1 llamafactory-cli train examples/train_lora/deepseek3_lora_sft_kt.yaml
```
👉 **[Full Documentation →](./KT-SFT/README.md)**
👉 **[Full Documentation →](./kt-sft/README.md)**
---