marauder-actual 122e73860b feat: tts-norm LoRA — dataset generator + training script ...

gen_tts_dataset.py: 4960 synthetic examples, 22 categories (numbers,
currencies, dates, times, temperatures, acronyms, NATO phonetic, URLs,
markdown, etc). Bilingual EN/PL with explicit [lang] tag prefix.

train_tts_norm.py: Unsloth LoRA training for Qwen2.5-7B-Instruct.
Rank 16, 3 epochs, packing, max_seq 768. Trained on H100 in 20m38s,
final loss 0.091. Adapter: 154MB.

2026-05-26 00:14:51 +02:00

bt7274-lora-v1

init: bt7274 lora training — v1 adapter, v2 dataset (500 examples), justfile

2026-05-25 16:37:30 +02:00

docs

docs: bt7274 persona, specialist plan, tts-clean LoRA

2026-05-25 16:40:09 +02:00

.gitignore

init: bt7274 lora training — v1 adapter, v2 dataset (500 examples), justfile

2026-05-25 16:37:30 +02:00

bt7274_v1.jsonl

init: bt7274 lora training — v1 adapter, v2 dataset (500 examples), justfile

2026-05-25 16:37:30 +02:00

bt7274_v2.jsonl

init: bt7274 lora training — v1 adapter, v2 dataset (500 examples), justfile

2026-05-25 16:37:30 +02:00

bt7274_v3.jsonl

v3 dataset (582 ex, 14% direct) + Qwen3.5-27B training script

2026-05-25 18:57:17 +02:00

gen_tts_dataset.py

feat: tts-norm LoRA — dataset generator + training script

2026-05-26 00:14:51 +02:00

gen_v3.py

v3 dataset (582 ex, 14% direct) + Qwen3.5-27B training script

2026-05-25 18:57:17 +02:00

justfile

init: bt7274 lora training — v1 adapter, v2 dataset (500 examples), justfile

2026-05-25 16:37:30 +02:00

merge.py

init: bt7274 lora training — v1 adapter, v2 dataset (500 examples), justfile

2026-05-25 16:37:30 +02:00

train_qwen35_27b.py

fix: parse tool_call arguments from JSON string to dict for Qwen3.5 template

2026-05-25 19:16:07 +02:00

train_tts_norm.py

feat: tts-norm LoRA — dataset generator + training script

2026-05-26 00:14:51 +02:00

train_v1.py

init: bt7274 lora training — v1 adapter, v2 dataset (500 examples), justfile

2026-05-25 16:37:30 +02:00

train.py

init: bt7274 lora training — v1 adapter, v2 dataset (500 examples), justfile

2026-05-25 16:37:30 +02:00

S

Description

LoRA fine-tuning pipeline for building persona, specialist, and voice adapters.

9.9 MiB

Languages

Python 96.7%

Jinja 2%

Just 1.3%