Shush is an app that deploys a WhisperV3 model with Flash Attention v2 on Modal and makes requests to it via a NextJS app
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Updated
Jun 7, 2024 - TypeScript
Shush is an app that deploys a WhisperV3 model with Flash Attention v2 on Modal and makes requests to it via a NextJS app
Implementation of FlashAttention (FA1-FA4) in PyTorch for educational and algorithmic clarity
Triton implementation of FlashAttention2 that adds Custom Masks.
🎭 Real-time voice-controlled 3D avatar with multimodal AI - speak naturally and watch your AI companion respond with perfect lip-sync
Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.
A flexible and efficient implementation of Flash Attention 2.0 for JAX, supporting multiple backends (GPU/TPU/CPU) and platforms (Triton/Pallas/JAX).
Cross-platform FlashAttention-2 Triton implementation for Turing+ GPUs with custom configuration mode
A cutlass cute implementation of headdim-64 flashattentionv2 TensorRT plugin for LightGlue. Run on Jetson Orin NX 8GB with TensorRT 8.5.2.
Vulkan & GLSL implementation of FlashAttention-2
FlashAttention for sliding window attention in Triton (fwd + bwd pass)
A Gradio-based demo application for comparing state-of-the-art OCR models: DeepSeek-OCR, Dots.OCR, HunyuanOCR, and Nanonets-OCR2-3B.
DeepSeek-OCR-2-Unlimited-OCR is an advanced, experimental visual document processing and open-ended text localization dashboard. This application establishes a unified interface that allows users to swap between two premier vision-language document models: deepseek-ai/DeepSeek-OCR-2 and baidu/Unlimited-OCR.
SAM3-Plus-Qwen3.5 is an advanced, experimental computer vision suite that seamlessly integrates Facebook's Segment Anything Model 3 (SAM3) with the Qwen3.5 multimodal reasoning engine.
Tiny VLMs Lab is a Hugging Face Space and open-source project showcasing lightweight Vision-Language Models for image captioning, OCR, reasoning, and multimodal understanding. It offers a simple Gradio interface to upload images, query models, adjust generation settings, and export results in Markdown or PDF.
A high-performance C++ backend for extreme-context LLM inference. It replaces item-count batching with dynamic, VRAM-aware First-Fit Decreasing (FFD) bin packing. By using PyBind11 for async queueing, 16-token alignment, and `cudaHostAlloc` for zero-copy FlashAttention-2 transfers, it mathematically eliminates OOMs and maximizes GPU throughput.
Transcribe audio in minutes with OpenAI's WhisperV3 and Flash Attention v2 + Transformers without relying on third-party providers and APIs. Host it yourself or try it out.
TRELLIS.2-Text-to-3D-FA2 is an advanced, experimental 3D asset generation suite that couples high-speed text-to-image synthesis with structured 3D geometry reasoning. By linking Alibaba's rapid Tongyi-MAI/Z-Image-Turbo pipeline with Microsoft's state-of-the-art microsoft/TRELLIS.2-4B foundational 3D asset mode.
Poplar implementation of FlashAttention for IPU
Core-OCR is an advanced, experimental Optical Character Recognition (OCR) and document analysis suite designed for highly accurate text extraction, table reconstruction, and complex visual reasoning. Built on the robust Qwen2.5-VL and Qwen2-VL multimodal architectures.
Toy Flash Attention implementation in torch
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