datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
sdxl-turbo-rtmenasa-turbofan-degradationOriginal source:
https://data.nasa.gov/Aerospace/CMAPSS-Jet-Engine-Simulated-Data/ff5v-kuh6/about_data
Example analysis:
https://www.kaggle.com/code/carlkirstein/predictive-maintenance-nasa-turbofan-regression/notebook
Use the "cycle" column as the relative time index (operational cycle of the engine in the "engine" column).
[From "readme.txt" in the original source]
Experimental Scenario
Data sets consists of multiple multivariate time series. Each data set is further divided into… See the full description on the dataset page: https://huggingface.co/datasets/nominal-io/nasa-turbofan-degradation.rtx-4060ti-8gb-turboquant-bench-2026-05
RTX 4060 Ti 8GB — turboquant KV cache benchmark (Qwen3.6-35B-A3B)
practitioner-tested benchmarks of turboquant KV cache types vs standard llama.cpp on an RTX 4060 Ti 8GB with 32GB DDR5-6000 RAM.
hardware
component
spec
GPU
NVIDIA RTX 4060 Ti, 8 GB VRAM
CPU
AMD Ryzen 5 7600X (6c/12t)
RAM
32 GB DDR5-6000 dual-channel
OS
Windows 11 + WSL2 Ubuntu 26.04
model
Qwen3.6-35B-A3B-UD-Q4_K_M (22.1 GB). hybrid SSM+attention architecture — 10/40 layers… See the full description on the dataset page: https://huggingface.co/datasets/witcheer/rtx-4060ti-8gb-turboquant-bench-2026-05.turbo-alpaca-cleanedLlama_3_1_8b_Instruct_Turbo_chat_CSLlama_3_1_8b_Instruct_Turbo_chat_physicsTurbo-AILlama_3_1_8b_Instruct_Turbo_chat_biologyLlama_3_1_8b_Instruct_Turbo_chat_mathLlama-3.1-70B-TurboTurbo-AI-Testing