dvlt.cu: inference engine written from scratch in CUDA/C++ for NVIDIA's DVLT 3D transformer model
Im into both HPC and 3D reconstruction, so I built this as a side project. dvlt.cu is a single 5MB bβ¦
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dvlt.cu: inference engine written from scratch in CUDA/C++ for NVIDIA's DVLT 3D transformer model
Im into both HPC and 3D reconstruction, so I built this as a side project. dvlt.cu is a single 5MB bβ¦
Introduction to LLM API Benchy
As i was struggling to find a good benchmark for my LLM and inference engines and always did somethiβ¦
QAT MTP Heads Upload + PARALLEL=2 Fix + 12B 2-slot Bench
Title: Gemma 4 QAT MTP assistant heads now public on HuggingFace + PARALLEL=2 crash fix + 12B 2-slotβ¦
Are local models good enough to replace Claude/Codex solely for simple HTML tasks?
I know local models canβt compete fully yet, but Iβm curious about where the limits are. My use caseβ¦
RTX 3090 EBay Pricing is Crazy!!
Couple of years ago, before Local LLMs were in vogue, I bought 8 RTX 3090 @ $700 each to build a AI β¦
Another 1-click admin account takeover in pewdiepie's AI tool (language in video nsfw)
submitted by /u/theonejvo [link] [comments]β¦
Best Coding Harness for Qwen3.6 35B?
I've been happily using GitHub Copilot for 7-8 months, primarily in Visual Studio and VS Code, mostlβ¦
Z.ai, we need Air! GLM GGUF wen?
First we never saw an upgraded Air model after 4.5. Then GLM 4.7 Turbo was great, but quickly surpasβ¦
What are you running on 16Gb VRAM + 64Gb Ram?
I know this gets asked a lot, but I can only find threads that are at least a couple of months old, β¦
AMD MI50 on Debian Testing is doing great and getting better.
There is probably some relevant information to other cards here but my benchmarks are on dual MI50 cβ¦
120 tok/s on 12GB VRAM with Gemma 4 12B QAT MTP
Google just released the QAT (Quantization-Aware Training) variant of their Gemma 4 models, includinβ¦
KV cache quant benchmarks: KVarN 6-bit matches q8_0, 4-bit matches q5_0. Massive!
TL;DR Based on long context KLD benchmarks, KVarN appears to be just better than usual llama.cpp KV β¦