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Achievements

Achievement: Pull Sharkx2Achievement: YOLO

Achievements

Achievement: Pull Sharkx2Achievement: YOLO

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fa-ina-tic/README.md

About Me

Focused on enhancing productivity for individuals and teams through AI

Currently interested in developing Knowledge-Based AI services

Deeply researching:

  • AIMET - Qualcomm's AI Model Efficiency Toolkit
  • Memvid - Video-based memory system
  • ExecuTorch - On-device execution for PyTorch models
  • TorchAO -PyTorch models' quantization

📊 GitHub Stats

fa-ina-tic's GitHub stats

🔥 Recent Activity

  1. ❗ Opened issue #2 in fa-ina-tic/mini-TGI
  2. 🗣 Commented on #1 in fa-ina-tic/mini-TGI
  3. ❗ Opened issue #1 in fa-ina-tic/mini-TGI
  4. 🗣 Commented on #4073 in quic/aimet
  5. ❌ Closed PR #4073 in quic/aimet

Pinned Loading

  1. memvid-rag memvid-rag Public

    local, multimodal rag agent for claude code

    Python 2

  2. browse-to-vault browse-to-vault Public

    Openclaw skill that creates obsidian docs based on browser history