Penguin-VL is a compact vision-language model family built to study how far multimodal efficiency can be pushed by redesigning the vision encoder, rather than only scaling data or model size.

Abstract: In underwater environments, the absorption and scattering of light often result in various types of degradation in captured images, including color cast, low contrast, low brightness, and ...

rmsNormEps = try container.decodeIfPresent(Float.self, forKey: .rmsNormEps) ?? 1e-6 ropeTheta = try container.decodeIfPresent(Float.self, forKey: .ropeTheta) ?? 1_000 ...

Researchers from Renmin University and Bytedance have released iLLaDA, an 8B language model that works differently from ChatGPT. It matches Qwen2.5 at the base level but falls behind after fine-tuning ...

This article was edited and created by AI. Qwen3-8B prefill 7x faster, vLLM 0.22.1 released, Gemma-4 QAT GGUF arrives — Today's changes for CUDA 16GB environments Qwen3-8B prefilling in llama.cpp has ...

This article has been edited and created by AI. llama.cpp CUDA 13.3 Official Binary Distribution Started and vLLM FusedMoE CUDA Graph Optimization — Qwen3-8B Inference 6x Faster With the llama.cpp ...

Abstract: A brain-computer interface (BCI) that decodes speech directly from neural activity provides a rapid and natural means of communication for individuals with speech impairments or aphasia.