@gita_vbpr: 😍😍 enak kok, cuma ga sempet cobain menu lain huhu next mau kesini lagi #capytiam #kopitiam #blokM #thaifood

GITA VBPR | DJ GITA SHY 🫦
GITA VBPR | DJ GITA SHY 🫦
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Region: ID
Saturday 17 October 2026 02:17:11 GMT
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iskhlfh
Mi⋆𐙚˚ :
sumpah kak gita makin cantik bgt bgt bgt,
2026-10-17 06:44:51
11
yuliyanash0507
CallmekaYul :
cobain toast pandan nya mom enak bgt 🥰🥰
2026-10-17 03:17:34
0
luvvmatchalatt3
MatchaLatte :
kak traktir es teh dong, malang panas banget 😭
2026-10-17 07:18:20
0
wendrapurnamatoh1
wendrapurnamatoh1 :
aku suka Nonton konten kk
2026-10-17 10:37:39
0
sii_putricantik88
siimbakputri88 :
2026-10-17 02:38:16
0
wendrapurnamatoh1
wendrapurnamatoh1 :
kakak Gita aku fans berat kk
2026-10-17 10:37:22
0
upehasanah
ulfhahasana :
habis brp menu segitu mom?
2026-10-17 07:06:02
0
sabun.12
SABUN 🧼 :
Halal kak?
2026-10-18 13:50:50
0
ninanurfaiza_123
Bunda Iqbal 👌 :
😍😍😍
2026-10-17 02:30:47
0
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Follow me then comment
Follow me then comment "SOUP" and I'll send you the open-source tool that fine-tunes an AI model on a 4 GB laptop GPU. Your laptop can now teach an AI model using your own data. A developer from Kazakhstan named Alpamys Makazhan fine-tuned an 8-billion-parameter model on a laptop with 4 GB of GPU memory, and he gave the tool away for free. It's called Soup. Here's how it works: 1. Install it with one line: pipx install "soup-cli[train]" 2. Run soup init and it writes you a config file. Set the base model (Llama, Qwen, Gemma, Mistral) and point it at your data. 3. Put your examples in a JSONL file. Your emails, support tickets, notes, product docs, anything you want the model to learn from. 4. Run soup train. Soup picks the batch size, sets up the LoRA adapter, and streams the model into your GPU one layer at a time so it never needs more than about 3.3 GB. 5. Run soup export to GGUF and load it in Ollama. You now have a model that knows your data, on your laptop, with no cloud bill. What makes this insane: ✅ 8B model trained on an RTX 3050 laptop at 3.32 GB peak VRAM ✅ About 120 tokens a second on that same laptop ✅ One YAML file and one command, no custom training scripts ✅ Free Colab notebook that proves the 4 GB claim before you install anything ✅ 8,700+ stars, Apache 2.0, free forever Why this matters: Fine-tuning used to mean renting a cloud GPU and fighting the setup for days, so almost everyone just used someone else's model. Now the gaming laptop you already own can train one on your own data over a lunch break. Follow me then comment "SOUP" and I'll send you the link. #finetuning #LLM #opensource #GitHub #machinelearning

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