[Paper] Sparse Delta Memory: Scaling the State of Linear RNNs through Sparsity
Linear attention models allow a fixed state size and a fixed amount of compute per token. However, due to their limited state size, linear attention models…
Linear attention models allow a fixed state size and a fixed amount of compute per token. However, due to their limited state size, linear attention models…
“token efficiency needs to drop to as much as 20% over the next 12 months, and 90% by the following year” submitted by /u/JLeonsarmiento [link] [comments]
TL;DR: Quantization has a marked impact on agentic performance but little effect on knowledge. I manage a small HPC cluster at a university, and we have…
No real details or timescales yet, but this article has confirmation from Alexandr Wang that Meta are working on an open source variant of Muse Spark.…
Wow... https://github.com/kacper-daftcode/vLLM-Moet Using this customized vllm provided as a docker, I'm able to run DS V4 Flash on a single RTX 6000 Pro (apparently it also…
Hello, Locallama! "long-time" member here, from the days when the max context window doubled from 2K to a whooping 4K! Now I feel like I am…
I have to admit, a lot of people we're 100% correct to make the suggestion to try this model. I am sorry I ever doubted. The…
I've been running some systematic tests on a few models comparing FP16 vs various GGUF quant levels, and instead of looking at one aggregate benchmark score,…
submitted by /u/Fcking_Chuck [link] [comments]
submitted by /u/yogthos [link] [comments]