|
Download README.md from KucLab/kuclab_v1: direct link, hf CLI and curl.
- Browser
- Download file 923 Bytes
-
https://huggingface.co/datasets/KucLab/kuclab_v1/resolve/main/README.md
- Command line
-
hf download hf://datasets/KucLab/kuclab_v1/README.md
-
curl -L -o README.md https://huggingface.co/datasets/KucLab/kuclab_v1/resolve/main/README.md
923 Bytes
metadata
license: mit
pretty_name: kuclab_v1
KucLab V1.0 training data (28321 samples)
First public flagship corpus for KucLab V1.0.
Base model
- Preferred:
google/gemma-2-9b-it - Fallback:
google/gemma-2-9b(already on disk) - Method: QLoRA (L4 24GB)
Mix
| Source | Role |
|---|---|
| personality / public QA | product voice + identity (tiny) |
| anti-refusal | fix V0.5 collapse modes |
| code seed + HF code | engineering strength |
| history seed + wiki history | knowledge |
| tools_json (messages) | portable function calling |
| multiturn | chat stability |
| stack / czech_code / pro / v06 reuse | proven local data (filtered) |
Files
train.jsonl— trainingeval_prompts.jsonl— post-train smoke testsmeta.json— build metadata
Train
dataset: ./data/kuclab_v1/train.jsonl
config: ./configs/kuclab_v1.yaml
Built: 2026-07-26T13:50:59.241361+00:00