NVIDIA T4

Headlines · 3

1. 2d
   DOOMFORMER implements a Transformer through DOOM mechanics

   A creator introduced DOOMFORMER, an experimental Transformer whose mathematical operations are implemented through DOOM game mechanics and voodoo dolls rather than a conventional numerical library. The creator says it can classify MNIST digits drawn on DOOM maps, make decisions, and play DOOM across many game instances. These capabilities and the scale of the experiment have not been independently reproduced or benchmarked.

   Hacker News 首页（100+ 分） · 🔥 1
2. 6d
   Reddit user seeks Qwen3.5-9B QLoRA fine-tuning advice

   A Reddit user is seeking advice on fine-tuning Qwen3.5-9B with QLoRA using about 500 GB of mixed images, scanned documents, PDFs, Word files, and Excel files. They report running a Q5_K_XL build on an ASUS ESC4000 G3 with 128 GB of RAM and eight NVIDIA T4 GPUs, using separate llama.cpp instances behind a round-robin nginx load balancer. Their internal harness reportedly measured 35–40 tokens per second for an average single user and a 3–5 second time to first token, but the post does not provide a completed fine-tuning workflow or validated answer.

   r/LocalLLaMA · 🔥 0
3. Oct 22
   Open-XTTS-Trainer Brings Full XTTS v2 Training Pipeline

   Developer u/yashubhakt released Open-XTTS-Trainer, an MPL-2.0-licensed suite for training XTTS v2's DVAE audio tokenizer, GPT text model, and Latent HiFi-GAN vocoder. Its vocabulary extension stage can add Unicode glyphs for scripts such as Hindi, Arabic, Thai, and Dhivehi, and the project includes a one-click Colab demo. The developer reports NVIDIA T4 convergence tests on LJSpeech and a JFK address, but these results have not been independently verified.

   r/MachineLearning · 🔥 0

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