@k1nyun: I adore shin soukoku so much maybe too much but idrk #shinsoukoku #sskk #bsd #targetaudience #foryou I'm not really sure about the last part cause I didn't do my research there, so don't jump me okay

˚‧Osamu Dazai₊˚
˚‧Osamu Dazai₊˚
Open In TikTok:
Region: PH
Saturday 04 July 2026 04:06:46 GMT
16933
4429
43
420

Music

Download

Comments

tofusamu
便利店🐟🩹 :
THEYRE LITERALLY SO FATED TO BE PARTNERS TOGETHER AND I CAN PROVE IT BECAUSE DURING THE GUILD FIGHT (shin skk vs fitzgerald) MY DAD SHED A TEAR FOR THEM AND IT WAD THE FIRST TIME I SAW HIM DO THAT IN MY ENTIRE LIFE
2026-07-05 23:54:11
116
xstar._.kissedx
starrie 🐟🪸 :
628th video in my public sskk collection GAHSJF I LOVE THEM 😭😭😭😭😭
2026-07-07 18:17:32
4
kylie.rsigma
♫͜ ຽ 🅂ɑ𝕠 ♡𓏼 ͜ 𝕊𝐒𝐊𝐊 🕸 :
I don't like you but i love you I love sskk. my whole life.
2026-07-04 12:37:45
43
nyver._19
✶◟# Nyver ⁺ :
love at first sight 🥹💗
2026-07-06 14:21:33
152
sylasloverrr
sylasloverrr :
also didn’t akutagawa said he felt weak/vulnerable without his coat ?? and he still gave it to atushi
2026-08-09 12:04:48
5
dazai_osamu1231
AKUTAGAWA IS ALIVE 😭💖 :
AKUTAGAWA IS ALIVE 😭💖·
2026-08-07 11:29:29
4
yeon_is_cat
ohits_rain_ing :
i love jinko and diablo, i love shin soukoku, i love these two fools in love..
2026-07-05 03:53:07
28
aeeiim
A. 🇵🇰 :
I love duos where they first try to k!ll eachother but then would die for the other one
2026-08-13 10:29:03
3
ludonfire
lud :
i love them
2026-08-04 19:05:01
2
upnthetaintedsorrow
yoshiki :
I LOVE SSKK THEY ARE MY ROMAN EMPIRE I ADORE THEM
2026-07-15 14:36:39
4
fallen_angel_08
miew :
they really made a great partner because they actually care about each other despite the hate feeling
2026-08-13 05:01:55
1
loveliestangels
sam :
i miss sskk
2026-07-05 12:17:45
3
arina_kumuzaki
Ari 🔮 :
I lwk started watching bsd because of dazai and chuuya but I stayed the entire time, getting hide and sad mostly for the two of them.
2026-07-18 18:36:54
4
shinkailov3vanilla
Hayami Shinkai :
LOVE THEM SO MUCH😭
2026-07-13 10:37:31
1
4ku.tagawa_
akutagawa's grin. :
akutagawa's grin. approves✅✅
2026-07-05 19:32:26
3
rashomon88
Rashomon:33[🌟🎈][❄️🎀] :
I AM SO OBSESSED HELP
2026-07-14 12:12:46
1
laceybambi
𐙚 sol :
they mean sm to me
2026-07-25 15:30:09
1
ihavenoclue666
Lalaloopsie <3 :
slide 6
2026-07-22 13:43:18
1
To see more videos from user @k1nyun, please go to the Tikwm homepage.

Other Videos

Unsloth now trains LLMs on AMD GPUs — fine-tune local AI models on a Radeon, Ryzen AI laptop, or Instinct card. 500+ models, 3GB VRAM minimum, 2x faster training, 70% less VRAM, and it runs on Windows, WSL, and Linux. ---- 🚀 DYNAMOUS AI COMMUNITY Want to learn agentic coding with live daily events and workshops? Check out Dynamous AI: https://dynamous.ai/?code=646a60 Get 10% off here 👉 https://shorturl.smartcode.diy/dynamous_ai_10_percent_discount ⚡ HOSTINGER — RELIABLE HOSTING FOR YOUR PROJECTS (10% OFF) Whether you're shipping a portfolio, a side project, n8n flows, or AI agents — I use Hostinger for fast, affordable VPS + web hosting. Get 10% off here 👉 https://hostinger.com/DIYSMARTCODE (Affiliate link — costs you nothing, supports the channel.) ---- What you will see in this 80-second breakdown: → Unsloth adds AMD support — train and fine-tune LLMs without an NVIDIA card → Which hardware works: Radeon RX 9000 / 7000 / 6000, Ryzen AI laptops, Instinct MI300 / MI350 → As little as 3GB of VRAM to fine-tune a small model on a card you already own → 500+ models, up to 2x faster training, 70% less VRAM, no accuracy loss → Runs on Windows, WSL, and Linux — export to GGUF, safetensors, or a LoRA adapter, then wire it into Claude Code → One-line install: curl the script and start fine-tuning on your own machine Unsloth AMD docs: https://unsloth.ai/docs/basics/amd Unsloth GitHub: https://github.com/unslothai/unsloth For years, fine-tuning a model meant one thing: an NVIDIA card. Unsloth just knocked that wall down — so here's the real question. Does training on your own AMD hardware finally break NVIDIA's grip on AI, or is CUDA still too far ahead? Radeon or GeForce — which one are you training on? Drop it in the comments. #Unsloth #AMD #AMDGPU #Radeon #LLM #LocalAI #FineTuning #MachineLearning #AI #OpenSourceAI #ROCm #RyzenAI #AMDInstinct #ArtificialIntelligence #LLMTraining #AICoding #DeepLearning #Gemma #ClaudeCode #DevTools #LocalLLM #AMDdeveloper
Unsloth now trains LLMs on AMD GPUs — fine-tune local AI models on a Radeon, Ryzen AI laptop, or Instinct card. 500+ models, 3GB VRAM minimum, 2x faster training, 70% less VRAM, and it runs on Windows, WSL, and Linux. ---- 🚀 DYNAMOUS AI COMMUNITY Want to learn agentic coding with live daily events and workshops? Check out Dynamous AI: https://dynamous.ai/?code=646a60 Get 10% off here 👉 https://shorturl.smartcode.diy/dynamous_ai_10_percent_discount ⚡ HOSTINGER — RELIABLE HOSTING FOR YOUR PROJECTS (10% OFF) Whether you're shipping a portfolio, a side project, n8n flows, or AI agents — I use Hostinger for fast, affordable VPS + web hosting. Get 10% off here 👉 https://hostinger.com/DIYSMARTCODE (Affiliate link — costs you nothing, supports the channel.) ---- What you will see in this 80-second breakdown: → Unsloth adds AMD support — train and fine-tune LLMs without an NVIDIA card → Which hardware works: Radeon RX 9000 / 7000 / 6000, Ryzen AI laptops, Instinct MI300 / MI350 → As little as 3GB of VRAM to fine-tune a small model on a card you already own → 500+ models, up to 2x faster training, 70% less VRAM, no accuracy loss → Runs on Windows, WSL, and Linux — export to GGUF, safetensors, or a LoRA adapter, then wire it into Claude Code → One-line install: curl the script and start fine-tuning on your own machine Unsloth AMD docs: https://unsloth.ai/docs/basics/amd Unsloth GitHub: https://github.com/unslothai/unsloth For years, fine-tuning a model meant one thing: an NVIDIA card. Unsloth just knocked that wall down — so here's the real question. Does training on your own AMD hardware finally break NVIDIA's grip on AI, or is CUDA still too far ahead? Radeon or GeForce — which one are you training on? Drop it in the comments. #Unsloth #AMD #AMDGPU #Radeon #LLM #LocalAI #FineTuning #MachineLearning #AI #OpenSourceAI #ROCm #RyzenAI #AMDInstinct #ArtificialIntelligence #LLMTraining #AICoding #DeepLearning #Gemma #ClaudeCode #DevTools #LocalLLM #AMDdeveloper

About