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rhgo1749/README.md

H4v3Lab

English

I build and experiment with LLM inference systems, heterogeneous serving, and efficient local AI runtimes.

Open to full-time roles, research collaborations, and graduate research opportunities.

한국어

LLM 추론 시스템, 이기종 서빙, 효율적인 로컬 AI 런타임을 개발하고 실험하고 있습니다.

정규직 채용, 연구 협업, 대학원 연구 기회에 열려 있습니다.

中文

我专注于 LLM 推理系统、异构推理服务以及高效本地 AI 运行时的开发与实验。

欢迎全职工作机会、研究合作以及研究生研究机会。

日本語

LLM 推論システム、異種ハードウェアを活用したサービング、効率的なローカル AI ランタイムの開発・検証に取り組んでいます。

フルタイムの採用、研究協力、大学院での研究機会を歓迎しています。

Contact

📫 Email: rhgo1749@naver.com

Pinned Loading

  1. qwen3.8-flash-next-exllamav3-3x5070ti-recipe qwen3.8-flash-next-exllamav3-3x5070ti-recipe Public

    Reproducible ExLlamaV3 recipe and optimization log for Qwen3.8-Flash-Next on 3x RTX 5070 Ti 16GB

    Python

  2. qwen3.8-flash-next-strata-gpu-per-lane-recipe qwen3.8-flash-next-strata-gpu-per-lane-recipe Public

    Measured 3x RTX 5070 Ti recipe for Qwen3.8-Flash-Next on the Strata multi-GPU fork: 3x262K lanes, shared expert arena, and real Hermes concurrency results.

    Python

  3. Niko1221/Strata Niko1221/Strata Public

    Qwen3.8-Flash-Next on any consumer hardware: one-click install for Windows / Linux. Strata inference engine, OpenAI/Anthropic API on localhost, optional image input.

    C++ 7.2k 637

  4. Strata-Lanes Strata-Lanes Public

    Forked from Niko1221/Strata

    Qwen3.8-Flash-Next (125B MoE) on a 12-24 GB NVIDIA GPU + 64 GB RAM: one-click install for Windows / Linux. Strata inference engine, OpenAI/Anthropic API on localhost, optional image input.

    C++