float32
Qwen3-SG1-10S-III-INSTRUCT-Float32-256k-ctx-6B-i1-GGUFmadlad400-10b-ct2-float32encodec-24khz-float32Qwen3-SG1-10S-III-INSTRUCT-Float32-256k-ctx-6B-GGUFDavidAU_-_Psyonic-Cetacean-V1-20B-Ultra-Quality-Float32-ggufargsearch_-_llama-7b-sft-float32-ggufPsyonic-Cetacean-V1-20B-Ultra-Quality-Float32-i1-GGUFmadlad400-3b-mt-ct2-int8_float32
Datasets
All datasets matching “float32”WTK-15min-float32AE29H_float32
AE29H_float32
Audio Embeddings ~29 hours dataset contains precomputed audio embeddings designed for Nanowakeword framework. The embeddings are intended to be used as general-purpose negative training data, meaning the audio does not contain the target wake word or phrase.
Unlike raw audio datasets, the files in this dataset contain low-dimensional audio embeddings extracted from audio clips using a pre-trained speech embedding model. These embeddings can be directly used as input… See the full description on the dataset page: https://huggingface.co/datasets/arcosoph/AE29H_float32.Hypersim_600_resize_float32nyu_depth_train_float32_1449eval_LSVLA_float32_pick_run1_2026_08_04This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so_follower",
"total_episodes": 50,
"total_frames": 21538,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:50"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/Alkatt/eval_LSVLA_float32_pick_run1_2026_08_04.eval_LSVLA_float32_stack_run2_2026_08_04