Datasets:
Tasks:
Text Generation
Languages:
English
Size:
n<1K
Tags:
code
notebooks
training-scripts
dataset:Nanthasit/sakthai-kaggle-notebooks
license-mit
dataset-card
License:
Lean rewrite: dynamic download badge, single family table, fix counts/labels, story→profile
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README.md
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- kaggle
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<p align="center">
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<a href="https://github.com/beer-sakthai"><img src="https://img.shields.io/badge/GitHub-beer--sakthai-181717" alt="GitHub"/></a>
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<a href="https://huggingface.co/collections/Nanthasit/sakthai-model-family-6a64745450b12d421c1f9f02"><img src="https://img.shields.io/badge/📦-Collection-ffa500" alt="Collection"/></a>
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<img src="https://img.shields.io/badge/dynamic/json?url=https://huggingface.co/api/datasets/Nanthasit/sakthai-kaggle-notebooks&query=%24.downloads&label=downloads&color=blue" alt="downloads"/>
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<img src="https://img.shields.io/badge/license-Apache%202.0-brightgreen" alt="License"/>
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</p>
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## Contents
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| File | Purpose |
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| `sakthai-engine.ipynb` | Training notebook
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| `sakthai-7b-engine.ipynb` | Training notebook
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| `scripts/sakthai-7b-post-train.py` | LoRA merge
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| `deploy-endpoint.py` | Deploy to HF Inference Endpoints |
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## Usage
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```bash
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# Post-training pipeline
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python scripts/sakthai-7b-post-train.py --help
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#
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# sakthai-engine.ipynb → trains on sakthai-combined-v4 (also compatible with v6)
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# sakthai-7b-engine.ipynb → trains on sakthai-combined-v5 (also compatible with v6)
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```
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##
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These models are trained using the notebooks and scripts in this repository:
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| Model | Downloads | Pipeline |
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|-------|:---------:|:--------:|
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| [sakthai-context-1.5b-merged](https://huggingface.co/Nanthasit/sakthai-context-1.5b-merged) | 1,269 | Text Generation |
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| [sakthai-context-0.5b-merged](https://huggingface.co/Nanthasit/sakthai-context-0.5b-merged) | 1,030 | Text Generation |
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| [sakthai-context-7b-merged](https://huggingface.co/Nanthasit/sakthai-context-7b-merged) | 585 | Text Generation |
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| [sakthai-context-7b-128k](https://huggingface.co/Nanthasit/sakthai-context-7b-128k) | 382 | Text Generation (Long Context) |
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| [sakthai-context-7b-tools](https://huggingface.co/Nanthasit/sakthai-context-7b-tools) | 219 | Text Generation (Tool Calling) |
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| [sakthai-embedding-multilingual](https://huggingface.co/Nanthasit/sakthai-embedding-multilingual) | 188 | Feature Extraction |
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| [sakthai-context-1.5b-tools](https://huggingface.co/Nanthasit/sakthai-context-1.5b-tools) | 163 | Text Generation (Tool Calling) |
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| [sakthai-vision-7b](https://huggingface.co/Nanthasit/sakthai-vision-7b) | 104 | Image-to-Text |
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| [sakthai-coder-1.5b](https://huggingface.co/Nanthasit/sakthai-coder-1.5b) | 70 | Text Generation (Code) |
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| [sakthai-tts-model](https://huggingface.co/Nanthasit/sakthai-tts-model) | 69 | Text-to-Speech |
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| [sakthai-context-0.5b-tools](https://huggingface.co/Nanthasit/sakthai-context-0.5b-tools) | 7 | Text Generation (Tool Calling) |
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> **Note:** `sakthai-embedding` (English-only, deprecated) — superseded by `sakthai-embedding-multilingual` above.
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## ⭐ Rising Stars
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Models with growing traction — perfect entry points:
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| Model | Downloads | Best For |
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| [0.5B-Tools](https://huggingface.co/Nanthasit/sakthai-context-0.5b-tools) | 7 | Smallest tool-calling model — runs on Raspberry Pi |
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| [TTS Model](https://huggingface.co/Nanthasit/sakthai-tts-model) | 69 | 15-language speech synthesis |
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| [Coder 1.5B](https://huggingface.co/Nanthasit/sakthai-coder-1.5b) | 70 | Code-specialized GGUF |
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## Sibling Datasets
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| Dataset | Downloads | Description |
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| [sakthai-combined-v6](https://huggingface.co/datasets/Nanthasit/sakthai-combined-v6) | 175 | Primary tool-calling training data |
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| [sakthai-kaggle-notebooks](https://huggingface.co/datasets/Nanthasit/sakthai-kaggle-notebooks) _(this)_ | 103 | Training notebooks + deploy scripts |
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| [SimpleToolCalling](https://huggingface.co/datasets/Nanthasit/SimpleToolCalling) | 52 | Legacy tool-calling dataset |
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| [food-penguin-v1](https://huggingface.co/datasets/Nanthasit/food-penguin-v1) | 51 | Tool-calling data (food domain) |
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| [sakthai-irrelevance-supplement](https://huggingface.co/datasets/Nanthasit/sakthai-irrelevance-supplement) | 0 | Edge-case irrelevant queries |
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| [TTS Demo 🎤](https://huggingface.co/spaces/Nanthasit/sakthai-tts) | 15-language speech synthesis showcase |
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| [Leaderboard 📊](https://huggingface.co/spaces/Nanthasit/sakthai-leaderboard) | Live benchmark comparison |
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| [Vision Demo 🖼️](https://huggingface.co/spaces/Nanthasit/sakthai-vision-demo) | Vision model playground |
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- kaggle
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# SakThai Kaggle Notebooks & Deploy Scripts
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<p align="center">
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<img src="https://img.shields.io/endpoint?url=https://huggingface.co/api/datasets/Nanthasit/sakthai-kaggle-notebooks&label=downloads&color=blue" alt="Downloads"/>
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<img src="https://img.shields.io/badge/license-Apache%202.0-brightgreen" alt="License"/>
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<a href="https://huggingface.co/collections/Nanthasit/sakthai-model-family-6a64745450b12d421c1f9f02"><img src="https://img.shields.io/badge/🏠-SakThai%20Family-6644cc" alt="Collection"/></a>
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</p>
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> The exact training notebooks and deploy scripts used to build the **SakThai** family —
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> LoRA fine-tune → GGUF conversion → HF publish, all on free Kaggle GPUs.
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> Part of the [House of Sak](https://huggingface.co/Nanthasit). [Read the story →](https://huggingface.co/Nanthasit)
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## Contents
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| File | Purpose |
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| `sakthai-engine.ipynb` | Training notebook (1.5B) |
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| `sakthai-7b-engine.ipynb` | Training notebook (7B) |
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| `scripts/sakthai-7b-post-train.py` | LoRA merge → GGUF convert → upload |
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| `deploy-endpoint.py` | Deploy to HF Inference Endpoints |
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## Usage
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```bash
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python scripts/sakthai-7b-post-train.py --help
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# Open the .ipynb files in Kaggle or Jupyter to train.
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# Both notebooks train on sakthai-combined-v6.
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```
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## What it builds
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These notebooks train the full SakThai family from
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[sakthai-combined-v6](https://huggingface.co/datasets/Nanthasit/sakthai-combined-v6) —
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the flagship [context-1.5b-merged](https://huggingface.co/Nanthasit/sakthai-context-1.5b-merged),
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the 0.5B/7B variants, and the tool-calling LoRAs.
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**12 models · 5 datasets · 3 Spaces** — [full collection →](https://huggingface.co/collections/Nanthasit/sakthai-model-family-6a64745450b12d421c1f9f02)
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## License
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Apache 2.0.
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