r/LocalLLaMA · · 1 min read

Kwai-Keye/Keye-VL-2.0-30B-A3B-GGUF · Hugging Face

Mirrored from r/LocalLLaMA for archival readability. Support the source by reading on the original site.

Kwai-Keye/Keye-VL-2.0-30B-A3B-GGUF · Hugging Face

Meet Keye-VL-2.0-30B-A3B — the latest 30B-class flagship base model in the Keye series, purpose-built to push the frontier of long-video understanding and to unlock the first generation of Agent capabilities in the Keye family.

Highlights

  • Outstanding Video Understanding and Temporal Localization: Across five video benchmarks, Keye-VL-2.0-30B-A3B leads open-source competitors and matches or surpasses Gemini-3-Flash on temporal grounding.
  • DSA-Native Long-Context Architecture: Sparse attention and targeted feature aggregation enable precise hour-long video understanding while keeping computation efficient.
  • High-Efficiency Inference and Training Stack: DSA (DeepSeek Sparse Attention), ExtraIO, heterogeneous ViT-LM parallelism, activation optimization, and custom kernels reduce long-sequence prefill cost and boost training throughput.
  • Data-Centric Multimodal Pre-Training: A carefully curated data pipeline, Keye-VL-1.5 vision encoder, and synthetic CoT data strengthen perception, OCR/chart/table understanding, and reasoning continuity.
  • Robust Post-Training for Reliable Reasoning: MOPD, bucket advantage scaling, Context-RL, and high-SNR data filtering improve cross-modal expert merging, reduce hallucinations, and stabilize long-context decisions.
  • Agent-Ready Multimodal Capabilities: Built-in Code, Tool, and Search agent abilities support repository tasks, API-style tool use, web-grounded search, and visual self-correction workflows.

As the first multi-modal model to land DSA in production, Keye-VL-2.0-30B-A3B delivers nearly lossless reasoning over 256K ultra-long context. It tops video understanding benchmarks at its scale and consistently rivals — or surpasses — top-tier closed-source models on fine-grained temporal perception. More importantly, it is the first Keye base model to ship with a built-in Agent collaboration mechanism, demonstrating solid system-level orchestration in Search, Tool, and Code scenarios.

submitted by /u/jacek2023
[link] [comments]

Discussion (0)

Sign in to join the discussion. Free account, 30 seconds — email code or GitHub.

Sign in →

No comments yet. Sign in and be the first to say something.

More from r/LocalLLaMA