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今日 AI

面向 AI 构建者筛选模型、Agent、研究与开源项目的最新动态。

Updated
01
OpenGVLab's InternVL2-1B Beats Larger 4B Vision Models at Under 2GB
modelImageLlmsAlphaSignal ·

OpenGVLab's InternVL2-1B Beats Larger 4B Vision Models at Under 2GB

OpenGVLab released InternVL2-1B , a 0.9B parameter vision language model under MIT license. Combines InternViT-300M-448px vision encoder with Qwen2-0.5B-Instruct language backbone via MLP projector. Scores 754 on OCRBench, beating larger PaliGemma-3B (614) and Mini-InternVL-2B (654).

06
Sharp-Spark Squeezes a 4B Coding AI Into 6 GB GPUs
modelGpusLlmsAlphaSignal ·

Sharp-Spark Squeezes a 4B Coding AI Into 6 GB GPUs

Sharp-Spark-X2.5-4B-GGUF is an imatrix-quantized repack of Spark-X2.5-4B targeting 6 GB VRAM GPUs. Q6 ties upstream Q8 on MMLU-Pro while using 43% fewer tokens at the median. Ties Anthropic Haiku 4.5 on an SWE-bench-Live slice at 4B parameters.

10
Liquid AI's LFM3 Squeezes Multimodal AI Into 1GB on Local Hardware
modelAudioGpusLiquid AI ·

Liquid AI's LFM3 Squeezes Multimodal AI Into 1GB on Local Hardware

Liquid AI released LFM3 , six open-weight 2B-class models sharing one backbone across text, vision, audio, omni, and decision tasks. New tri-hybrid architecture mixes 13 gated convolutions, 5 sliding-window attention, and 6 global attention layers across 24 layers.

11
Unsloth Shrinks Qwen-Image-2.1-Turbo to 2.47 GB for Consumer GPUs
modelImageOpen SourceUnsloth AI ·

Unsloth Shrinks Qwen-Image-2.1-Turbo to 2.47 GB for Consumer GPUs

Unsloth released GGUF quants of Qwen-Image-2.1-Turbo, the 8-step distilled version of Qwen's 7B image model Sizes range from 2.47 GB (Q2_K) to 14.23 GB (F16); Q4_K_M at 4.2 GB is the recommended rung Uses Unsloth Dynamic 2.0, which keeps critical layers at higher precision for better accuracy at

17
Open-Source Mika Controls Android Apps Invisibly in the Background
repoAgentsOpen SourceAlphaSignal ·

Open-Source Mika Controls Android Apps Invisibly in the Background

Mika is an open-source Android AI agent that operates apps on a hidden background screen while you use your phone Over 2,000 GitHub stars within days, Apache-2.0 licensed, written in Kotlin and available on GitHub Bring-your-own-key design supports OpenAI-compatible, Anthropic and Gemini endpoints