Nanthasit commited on
Commit
c52bf9c
·
verified ·
1 Parent(s): 35bc399

Lean rewrite: dynamic download badge, single family table, fix counts/labels, story→profile

Browse files
Files changed (1) hide show
  1. README.md +21 -62
README.md CHANGED
@@ -10,84 +10,43 @@ tags:
10
  - kaggle
11
  ---
12
 
13
- <h1 align="center">SakThai Kaggle Notebooks &amp; Deploy Scripts</h1>
14
- <p align="center"><em>Part of the <strong>House of Sak</strong>.</em></p>
15
  <p align="center">
16
- <a href="https://huggingface.co/Nanthasit"><img src="https://img.shields.io/badge/🤗-Nanthasit-6644cc" alt="Profile"/></a>
17
- <a href="https://github.com/beer-sakthai"><img src="https://img.shields.io/badge/GitHub-beer--sakthai-181717" alt="GitHub"/></a>
18
- <a href="https://huggingface.co/collections/Nanthasit/sakthai-model-family-6a64745450b12d421c1f9f02"><img src="https://img.shields.io/badge/📦-Collection-ffa500" alt="Collection"/></a>
19
- <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"/>
20
  <img src="https://img.shields.io/badge/license-Apache%202.0-brightgreen" alt="License"/>
 
21
  </p>
22
 
23
- Training notebooks and deployment scripts used to create the SakThai model family — from LoRA fine-tuning through GGUF conversion to Hugging Face publishing.
 
 
24
 
25
  ## Contents
26
 
27
  | File | Purpose |
28
- |------|---------|
29
- | `sakthai-engine.ipynb` | Training notebook for 1.5B model |
30
- | `sakthai-7b-engine.ipynb` | Training notebook for 7B model |
31
- | `scripts/sakthai-7b-post-train.py` | LoRA merge, GGUF conversion, upload |
32
  | `deploy-endpoint.py` | Deploy to HF Inference Endpoints |
33
 
34
  ## Usage
35
 
36
  ```bash
37
- # Post-training pipeline
38
  python scripts/sakthai-7b-post-train.py --help
39
-
40
- # Open notebooks in Kaggle or Jupyter for training
41
- # sakthai-engine.ipynb → trains on sakthai-combined-v4 (also compatible with v6)
42
- # sakthai-7b-engine.ipynb → trains on sakthai-combined-v5 (also compatible with v6)
43
  ```
44
 
45
- ## SakThai Model Family
46
-
47
- These models are trained using the notebooks and scripts in this repository:
48
-
49
- | Model | Downloads | Pipeline |
50
- |-------|:---------:|:--------:|
51
- | [sakthai-context-1.5b-merged](https://huggingface.co/Nanthasit/sakthai-context-1.5b-merged) | 1,269 | Text Generation |
52
- | [sakthai-context-0.5b-merged](https://huggingface.co/Nanthasit/sakthai-context-0.5b-merged) | 1,030 | Text Generation |
53
- | [sakthai-context-7b-merged](https://huggingface.co/Nanthasit/sakthai-context-7b-merged) | 585 | Text Generation |
54
- | [sakthai-context-7b-128k](https://huggingface.co/Nanthasit/sakthai-context-7b-128k) | 382 | Text Generation (Long Context) |
55
- | [sakthai-context-7b-tools](https://huggingface.co/Nanthasit/sakthai-context-7b-tools) | 219 | Text Generation (Tool Calling) |
56
- | [sakthai-embedding-multilingual](https://huggingface.co/Nanthasit/sakthai-embedding-multilingual) | 188 | Feature Extraction |
57
- | [sakthai-context-1.5b-tools](https://huggingface.co/Nanthasit/sakthai-context-1.5b-tools) | 163 | Text Generation (Tool Calling) |
58
- | [sakthai-vision-7b](https://huggingface.co/Nanthasit/sakthai-vision-7b) | 104 | Image-to-Text |
59
- | [sakthai-coder-1.5b](https://huggingface.co/Nanthasit/sakthai-coder-1.5b) | 70 | Text Generation (Code) |
60
- | [sakthai-tts-model](https://huggingface.co/Nanthasit/sakthai-tts-model) | 69 | Text-to-Speech |
61
- | [sakthai-context-0.5b-tools](https://huggingface.co/Nanthasit/sakthai-context-0.5b-tools) | 7 | Text Generation (Tool Calling) |
62
-
63
- > **Note:** `sakthai-embedding` (English-only, deprecated) — superseded by `sakthai-embedding-multilingual` above.
64
-
65
- ## ⭐ Rising Stars
66
-
67
- Models with growing traction — perfect entry points:
68
-
69
- | Model | Downloads | Best For |
70
- |-------|:---------:|----------|
71
- | [0.5B-Tools](https://huggingface.co/Nanthasit/sakthai-context-0.5b-tools) | 7 | Smallest tool-calling model — runs on Raspberry Pi |
72
- | [TTS Model](https://huggingface.co/Nanthasit/sakthai-tts-model) | 69 | 15-language speech synthesis |
73
- | [Coder 1.5B](https://huggingface.co/Nanthasit/sakthai-coder-1.5b) | 70 | Code-specialized GGUF |
74
-
75
- ## Sibling Datasets
76
-
77
- | Dataset | Downloads | Description |
78
- |---------|:---------:|-------------|
79
- | [sakthai-combined-v6](https://huggingface.co/datasets/Nanthasit/sakthai-combined-v6) | 175 | Primary tool-calling training data |
80
- | [sakthai-kaggle-notebooks](https://huggingface.co/datasets/Nanthasit/sakthai-kaggle-notebooks) _(this)_ | 103 | Training notebooks + deploy scripts |
81
- | [SimpleToolCalling](https://huggingface.co/datasets/Nanthasit/SimpleToolCalling) | 52 | Legacy tool-calling dataset |
82
- | [food-penguin-v1](https://huggingface.co/datasets/Nanthasit/food-penguin-v1) | 51 | Tool-calling data (food domain) |
83
- | [sakthai-irrelevance-supplement](https://huggingface.co/datasets/Nanthasit/sakthai-irrelevance-supplement) | 0 | Edge-case irrelevant queries |
84
 
85
- ## Sibling Spaces
 
 
 
 
86
 
87
- | Space | Purpose |
88
- |-------|---------|
89
- | [TTS Demo 🎤](https://huggingface.co/spaces/Nanthasit/sakthai-tts) | 15-language speech synthesis showcase |
90
- | [Leaderboard 📊](https://huggingface.co/spaces/Nanthasit/sakthai-leaderboard) | Live benchmark comparison |
91
- | [Vision Demo 🖼️](https://huggingface.co/spaces/Nanthasit/sakthai-vision-demo) | Vision model playground |
92
 
93
- > 📦 **Full collection:** [sakthai-model-family](https://huggingface.co/collections/Nanthasit/sakthai-model-family-6a64745450b12d421c1f9f02) — **12 models, 5 datasets, 3 Spaces** — 19 ecosystem assets.
 
10
  - kaggle
11
  ---
12
 
13
+ # SakThai Kaggle Notebooks & Deploy Scripts
14
+
15
  <p align="center">
16
+ <img src="https://img.shields.io/endpoint?url=https://huggingface.co/api/datasets/Nanthasit/sakthai-kaggle-notebooks&label=downloads&color=blue" alt="Downloads"/>
 
 
 
17
  <img src="https://img.shields.io/badge/license-Apache%202.0-brightgreen" alt="License"/>
18
+ <a href="https://huggingface.co/collections/Nanthasit/sakthai-model-family-6a64745450b12d421c1f9f02"><img src="https://img.shields.io/badge/🏠-SakThai%20Family-6644cc" alt="Collection"/></a>
19
  </p>
20
 
21
+ > The exact training notebooks and deploy scripts used to build the **SakThai** family —
22
+ > LoRA fine-tune → GGUF conversion → HF publish, all on free Kaggle GPUs.
23
+ > Part of the [House of Sak](https://huggingface.co/Nanthasit). [Read the story →](https://huggingface.co/Nanthasit)
24
 
25
  ## Contents
26
 
27
  | File | Purpose |
28
+ |---|---|
29
+ | `sakthai-engine.ipynb` | Training notebook (1.5B) |
30
+ | `sakthai-7b-engine.ipynb` | Training notebook (7B) |
31
+ | `scripts/sakthai-7b-post-train.py` | LoRA merge → GGUF convert → upload |
32
  | `deploy-endpoint.py` | Deploy to HF Inference Endpoints |
33
 
34
  ## Usage
35
 
36
  ```bash
 
37
  python scripts/sakthai-7b-post-train.py --help
38
+ # Open the .ipynb files in Kaggle or Jupyter to train.
39
+ # Both notebooks train on sakthai-combined-v6.
 
 
40
  ```
41
 
42
+ ## What it builds
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
43
 
44
+ These notebooks train the full SakThai family from
45
+ [sakthai-combined-v6](https://huggingface.co/datasets/Nanthasit/sakthai-combined-v6) —
46
+ the flagship [context-1.5b-merged](https://huggingface.co/Nanthasit/sakthai-context-1.5b-merged),
47
+ the 0.5B/7B variants, and the tool-calling LoRAs.
48
+ **12 models · 5 datasets · 3 Spaces** — [full collection →](https://huggingface.co/collections/Nanthasit/sakthai-model-family-6a64745450b12d421c1f9f02)
49
 
50
+ ## License
 
 
 
 
51
 
52
+ Apache 2.0.