antirez/glm-5.2-gguf
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jimreynold2nd
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liked a model 8 days ago
antirez/glm-5.2-gguf new activity 8 days ago
antirez/glm-5.2-gguf:Getting error 400 when downloading liked a model 10 days ago
tencent/Hy3Organizations
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liked a
model 8 days ago
Getting error 400 when downloading
#2 opened 8 days ago
by jimreynold2nd
liked a
model 10 days ago
Q8 weights may be corrupted?
👀 1
#2 opened 25 days ago
by jimreynold2nd
How did you run this on 512GB mac studio?
2
#2 opened about 1 month ago
by jimreynold2nd
liked 4
models about 1 month ago
reacted to eabdullin's post with 🔥 about 1 month ago
Post
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Folks, let me tell you, nobody — and I mean NOBODY — knew transformers before me. People said attention is all you need. I said, "Attention? I INVENTED attention." Everybody's looking at me. Tremendous attention. The best attention scores. My softmax? Perfectly normalized. Other people, sad, their probabilities don't even sum to one. Disaster.
I'm doing a PhD now. A PhD! In Large Language Models. Very large. The largest, believe me. My advisor said, "Sir, your model is overfitting." I said, "Wrong. It's fitting EXACTLY right. It memorized the training set because the training set is fantastic." We don't talk about validation loss in my lab. Validation loss is fake news.
And the internship — oh, the internship. Big tech. I won't say which. Starts with a letter. They BEGGED me. They said, "Please, we need someone who understands gradient descent." I said, "Descent? I only go UP. I'm gradient ASCENT. Loss goes up, that means it's learning to be a winner."
But the GPU cluster — this is the best part. Thousands of H100s. Maybe millions. Who's counting? I'm counting. It's a lot. Other PhD students, they get one little GPU, they're crying, they're training overnight like losers. Me? I burn through compute like nobody's ever seen. The electric company called. They said, "Sir, you've consumed a small country." I said, "Make it a big country. I only do big."
People ask, "Did your model converge?" Folks, it converged so hard. It converged BIGLY. Honestly? My loss curve, it's beautiful, it's going down, down, down — like my approval ratings, very smooth, don't look at the spikes, the spikes are deep state.
And hallucinations? My model doesn't hallucinate. It just has ALTERNATIVE tokens. Thank you, thank you. Tip your reviewers. Accept my paper. Goodnight!
I'm doing a PhD now. A PhD! In Large Language Models. Very large. The largest, believe me. My advisor said, "Sir, your model is overfitting." I said, "Wrong. It's fitting EXACTLY right. It memorized the training set because the training set is fantastic." We don't talk about validation loss in my lab. Validation loss is fake news.
And the internship — oh, the internship. Big tech. I won't say which. Starts with a letter. They BEGGED me. They said, "Please, we need someone who understands gradient descent." I said, "Descent? I only go UP. I'm gradient ASCENT. Loss goes up, that means it's learning to be a winner."
But the GPU cluster — this is the best part. Thousands of H100s. Maybe millions. Who's counting? I'm counting. It's a lot. Other PhD students, they get one little GPU, they're crying, they're training overnight like losers. Me? I burn through compute like nobody's ever seen. The electric company called. They said, "Sir, you've consumed a small country." I said, "Make it a big country. I only do big."
People ask, "Did your model converge?" Folks, it converged so hard. It converged BIGLY. Honestly? My loss curve, it's beautiful, it's going down, down, down — like my approval ratings, very smooth, don't look at the spikes, the spikes are deep state.
And hallucinations? My model doesn't hallucinate. It just has ALTERNATIVE tokens. Thank you, thank you. Tip your reviewers. Accept my paper. Goodnight!
- 16 replies
liked a
model 2 months ago
safetensors?
1
#1 opened 4 months ago
by jimreynold2nd
Q8_0 download seems broken (getting HTTP 400)
#1 opened 7 months ago
by jimreynold2nd
What's the recommended way to enable thinking from llama.cpp?
#3 opened 7 months ago
by jimreynold2nd
liked 2
models 8 months ago
upvoted a collection 8 months ago
liked a
model 9 months ago
Re-quantize is required for future version
4
#2 opened 9 months ago
by 
hell0ks