@nabillayasmiin: #kacamatanak #kacamatamurah #kacamatahitamanak #kacamata

nabillayasmiin
nabillayasmiin
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Monday 06 April 2026 10:55:21 GMT
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nurlia.aw
Nurlia AW :
1 thn masih kebesaran ya ?
2026-06-20 05:22:36
0
sulistia1388
CreamyLatte :
bun ini buat anak 5 th bisa ga
2026-04-24 07:43:11
1
lingganxiaojie
Ⱡł₦₲₲₳₦26 :
udh co
2026-05-08 09:03:36
0
ansnaica
Naica :
pa
2026-06-01 10:19:45
0
defaydefin09
mom df🍓 :
aku udh co buat anak aku usia 6thn setengah,muat kan kak..
2026-05-22 21:24:43
1
rrnpry29
Ibuyiyin :
Keranjang nya ga ada ka
2026-04-20 13:26:10
0
ulyandika3
Auly :
di aku mahal banget masa 32 ribu
2026-05-02 15:03:51
0
stw2.6
tiara_w08 :
Di aku cuma 3k😭
2026-04-20 23:00:08
0
nlzaaaa7
inaytsira :
ini frame nya ngelupas gak kak
2026-04-18 13:04:13
0
ddevita29
devita :
buat bayi 1 tahun kebesaran ga bun
2026-04-15 02:33:49
0
ibunkhansa24
Ibunnya Aca :
SINI KOMEN AKU BACK🥰
2026-05-04 10:29:09
0
inicarroll
inicarroll :
aku langsung beliin anakku yg umur 10bulan kak, meskipun kegedean lucuuu😂
2026-04-24 13:13:42
1
lusiistikomah5
Lusii istikomah :
😳😳😳
2026-04-24 10:18:37
0
tiirex24
tiirex :
😁😁😁
2026-04-24 10:42:17
0
auggst04
windaa489 :
😂😂😂
2026-06-10 06:33:14
0
almalisa30
Lisa Almahyra❤︎ :
baguss bgt
2026-04-27 14:39:02
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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