Model Detail
keys-DeepSeekV4Flash-Vision-EXP-ablit
—keys-DeepSeekV4Flash-Vision-EXP-ablit is a multimodal model with 152.3B parameters released by drowzeys. The model is registered under the image-text-to-text pipeline tag on Hugging Face, distributed under a other license.
keys-DeepSeekV4Flash-Vision-EXP-ablit ships with 152.3B parameters. Total weight footprint is approximately 304.6 GB, which is the relevant figure when planning local-inference VRAM. Access is gated on Hugging Face under the other license, which means a manual approval step before weights can be downloaded.
keys-DeepSeekV4Flash-Vision-EXP-ablit is best fit for mixed text-and-image reasoning tasks such as document understanding. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.
Dual-QK: Sharp Queries and Flat Keys for Prunable 2-bit KV Caches
arXiv:2610.09827v1 Announce Type: new Abstract: Long inputs and extended generation increase the storage and access costs of the key-value (KV) cache. Low-bit quantization reduces storage and memory traffic, while query-channel pruning can further reduce key-cache reads. Rotation-based quantization
QK-Wanda: Coupling Queries and Keys for Unstructured Pruning
arXiv:2610.01554v1 Announce Type: new Abstract: Wanda (Sun et al., 2024) prunes large language models by scoring weights independently within each linear projection, although queries and keys interact through dot products. We introduce QK-Wanda, which scores query and key weights by their individual
Pixels to Keys: Exploring Spatial and Motion Cues in Gameplay Inverse Dynamics
arXiv:2609.37907v2 Announce Type: replace Abstract: Video games offer scalable environments for studying perception and control in embodied agents. Abundant online gameplay videos could supply demonstrations, but they rarely include player inputs for training. Inverse Dynamics Models (IDMs) have thu
Learned Queries and Keys Are All You Need: Replacing the Value Projection with Structured Transforms
arXiv:2609.36698v1 Announce Type: new Abstract: To reduce the number of parameters and cache memory requirements of transformers we introduce dual-headed transformers instead of three heads. We studied Walsh-Hadamard Transform (WHT), Discrete Cosine Transform (DCT), Discrete Fourier Transform, filte
Spotify is giving you the keys to its recommendation algorithm with US launch of ‘Taste Profile’
Spotify is rolling out Taste Profile to Premium users in the U.S., letting listeners see how the streamer understands their tastes and use natural language to reshape their recommendations.
