nihui-szyl/qwen-image-ncnn
Updated • 13
Md. Rakibul Islam
spryshanto
AI & ML interests
Building and optimizing open-source LLMs, retrieval-augmented generation (RAG), and efficient model inference using PyTorch and vLLM.
Recent Activity
liked a model 5 days ago
nihui-szyl/qwen-image-ncnn liked a model 6 days ago
abenzerps/Qwen-Image-2.1-Uncensored-GGUF liked a model about 1 month ago
Kwaipilot/KAT-Coder-V2.5-DevOrganizations
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HauhauCS/Gemma4-12B-QAT-Uncensored-HauhauCS-Balanced
Image-Text-to-Text • 12B • Updated • 774k • 384
yuxinlu1/gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2-GGUF
Text Generation • 12B • Updated • 712k • 1.62k
nex-agi/Nex-N2-Pro
Text Generation • 397B • Updated • 969 • 376
Wan-AI/Wan2.2-Animate-14B
Video-to-Video • 17B • Updated • 87.4k • 1.26k
openbmb/MiniCPM-o-4_5
Any-to-Any • 9B • Updated • 731k • 1.5k
moonshotai/Kimi-K2.7-Code
Image-Text-to-Text • 1T • Updated • 97k • • 1.4k
reacted to eabdullin's post with 🤗 4 months ago
Post
5758
I’m doing a PhD in AI, which sounds impressive until you realize it mostly means I spend three years trying to make a computer say something slightly less stupid than it said yesterday.
People hear "AI researcher" and they think I’m building the future. No. I’m in a basement at 2 a.m. Googling, "CUDA error what the f**k does this mean."
And the worst part about AI research now is compute. You don’t even ask, "Is this idea good?" anymore. You ask, "Can I afford for this idea to be wrong?"
My advisor comes to me one day and says, "I think we should fine-tune our own language model."
I said, "Professor, with what money? I’m a PhD student. I have two bank accounts: checking and emotionally checking."
He goes, "Don’t worry. We have compute."
Now, in academia, "don’t worry" is never the beginning of a good sentence.
I said, "What do you mean we have compute?"
He said, "My friend knows the cluster admin. He can get us on the GPUs."
I said, "Okay… what do we have to do?"
He goes, "Nothing crazy. Just be very grateful in the acknowledgements."
I said, "How grateful?"
He said, "Maybe put him as co-author."
I said, "Co-author? Are we using the cluster, or is the cluster using us?"
Because at that point, that’s not a favor. That’s academic child support.
So I go to the server room, and the cluster admin walks up to me and goes, "So you’re the NLP student."
And in my head I’m like, "No, tonight you’re the principal investigator. You’re the provider. I’m just a little token waiting to be attended to."
Because whoever controls the GPUs controls the relationship. That’s lab romance.
He starts setting things up, and I’m trying to act casual, but I don’t understand any of the numbers he’s saying.
He’s like, "Yeah, I can probably give you four H100s for the weekend."
I’m nodding like, "Mmm. Four. Weekend. H. One hundred. Absolutely."
Inside I’m like, "Is that good? Is that prison time? Why did he say it like he was offering me organs?"
[Continue in comments...]
People hear "AI researcher" and they think I’m building the future. No. I’m in a basement at 2 a.m. Googling, "CUDA error what the f**k does this mean."
And the worst part about AI research now is compute. You don’t even ask, "Is this idea good?" anymore. You ask, "Can I afford for this idea to be wrong?"
My advisor comes to me one day and says, "I think we should fine-tune our own language model."
I said, "Professor, with what money? I’m a PhD student. I have two bank accounts: checking and emotionally checking."
He goes, "Don’t worry. We have compute."
Now, in academia, "don’t worry" is never the beginning of a good sentence.
I said, "What do you mean we have compute?"
He said, "My friend knows the cluster admin. He can get us on the GPUs."
I said, "Okay… what do we have to do?"
He goes, "Nothing crazy. Just be very grateful in the acknowledgements."
I said, "How grateful?"
He said, "Maybe put him as co-author."
I said, "Co-author? Are we using the cluster, or is the cluster using us?"
Because at that point, that’s not a favor. That’s academic child support.
So I go to the server room, and the cluster admin walks up to me and goes, "So you’re the NLP student."
And in my head I’m like, "No, tonight you’re the principal investigator. You’re the provider. I’m just a little token waiting to be attended to."
Because whoever controls the GPUs controls the relationship. That’s lab romance.
He starts setting things up, and I’m trying to act casual, but I don’t understand any of the numbers he’s saying.
He’s like, "Yeah, I can probably give you four H100s for the weekend."
I’m nodding like, "Mmm. Four. Weekend. H. One hundred. Absolutely."
Inside I’m like, "Is that good? Is that prison time? Why did he say it like he was offering me organs?"
[Continue in comments...]
- 1 reply
reacted to danielhanchen's post with 👍 4 months ago
Post
4406
Google releases Gemma 4 QAT. ✨
You can now run Gemma 4 at 3x less memory with near original performance.
QAT makes it possible to run Gemma 4 26B-A4B on 16GB RAM.
GGUFs: https://huggingface.co/collections/unsloth/gemma-4-qat
QAT Guide: https://unsloth.ai/docs/models/gemma-4/qat
You can now run Gemma 4 at 3x less memory with near original performance.
QAT makes it possible to run Gemma 4 26B-A4B on 16GB RAM.
GGUFs: https://huggingface.co/collections/unsloth/gemma-4-qat
QAT Guide: https://unsloth.ai/docs/models/gemma-4/qat
- 1 reply
liked a
model 4 months ago
reacted to danielhanchen's post with 🔥 4 months ago
Post
9465
Gemma 4 12B can now run locally on just 8GB RAM via Dynamic GGUFs.
Google's new model, Gemma 4 12B Unified supports image, audio and 256K context.
You can run and train the model via Unsloth Studio.
GGUF: unsloth/gemma-4-12b-it-GGUF
Guide: https://unsloth.ai/docs/models/gemma-4
Google's new model, Gemma 4 12B Unified supports image, audio and 256K context.
You can run and train the model via Unsloth Studio.
GGUF: unsloth/gemma-4-12b-it-GGUF
Guide: https://unsloth.ai/docs/models/gemma-4
- 5 replies
liked 6
models 4 months ago
google/gemma-4-12B
Any-to-Any • 12B • Updated • 141k • 753
Supertone/supertonic-3
Text-to-Speech • Updated • 28.5k • 972
OmniAvatar/OmniAvatar-14B
Text-to-Video • Updated • 175 • 114
Qwen/Qwen3-VL-235B-A22B-Thinking
Image-Text-to-Text • 236B • Updated • 13.2k • • 405
Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice
Text-to-Speech • 2B • Updated • 2.41M • 2.01k
kyutai/moshika-rag-pytorch-bf16
Audio-to-Audio • 8B • Updated • 1.09k • 15