最有价值项目

Docker&vLLM官方镜像部署DeepSeek模型，在生产环境中提供类OpenAI接口服务。

A lean, local AI research agent framework that runs on your machine

GLM-5.2 744B with a true 4-bit NVFP4 KV cache on 4x DGX Spark: 42 tok/s peak, 317K-token KV pool (+58.6% vs fp8), needle-verified at 250K depth, serving 316K context

Running Large Language Model easily.

Benchmarks and notes for running modern LLMs with vLLM on 8x Tesla V100-32GB in 2026.

Reproducible recipe: serve abliterated Gemma-4-12B (gemma4_unified) at 50-118 tok/s on no-NVLink Blackwell (SM120) via vLLM nightly + ModelOpt FP8/NVFP4 + MTP spec-decode.

An autonomous agentic pipeline that finds, proves, and patches real C memory-safety vulnerabilities end-to-end using a single 7B open-source LLM (Qwen2.5-Coder) on vLLM, with AddressSanitizer as a ground-truth oracle.

FlashAttention-style custom attention backend for vLLM on AMD MI50/MI60/Radeon VII (gfx906). Downstream fork of mixa3607/ML-gfx906 with replacement HIP kernels and a vllm.general_plugins entry point.

This Russia Doesn't Exist

Madlab is an advanced AI development studio designed to streamline the process of dataset management, model training, and evaluation. It combines a robust Node.js/Express backend with a powerful Python-based training engine and a modern React frontend.

Fine-tuned LLM for electroencephalography(EEG) data classification

CosyVoice3 LoRA fine-tuning companion repo — PEFT integration, 9 known pitfalls from IMDA NSC production runs, corrected from failed full-SFT attempt

Kairos: An autonomous development supervisor powered by Context Engineering. It provides a living memory and a contextual constitution for your projects to prevent AI context loss.

Tool for auto-generating README documentation for code repositories

LoRA supervised fine-tuning, RLHF (PPO) and RAG with llama-3-8B on the TLDR summarization dataset

Rosé Pine theme for JetBrains IDE (intellij, ...)

Nest plugin for IntelliJ Platform

Generate code, documentations and more. From comments, straight in the editor, just like codepilot

VSCode extension and IntelliJ plugin with snippets for built_value package.

Ease configuration of values for Helm charts in your IDE