A high-throughput and memory-efficient inference and serving engine for LLMs
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Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
💖🧸 Self hosted, you-owned Grok Companion, a container of souls of waifu, cyber livings to bring them into our worlds, wishing to achieve Neuro-sama's altitude. Capable of realtime voice chat, Minecraft, Factorio playing. Web / macOS / Windows supported.
- ai-vtuber
- live2d
- neuro-sama
- neurosama
SGLang is a high-performance serving framework for large language models and multimodal models.
TranslatedCloudMoe Windows 10/11 Activation Toolkit get digital license, the best open source Win 10/11 activator in GitHub.
- digital-license
- activation-toolkit
- windows-10
- win-10
Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.8, DeepSeek-V4, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM5.3, Gemma4, Llava, Phi4, ...) (AAAI 2025).
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.
TranslatedHigh-efficiency QQ bot support library
- java
- kotlin
- mirai
- chatbot
TranslatedLeave the dailies to March 7th, and keep the Trailblaze for yourself. An open-source automation assistant for "Honkai: Star Rail".
- honkai-star-rail
- star-rail
- march7thassistant
A 2.78-trillion-parameter Kimi K3 running inference on a single CPU in 8.24 GB of RAM. Portable C99: no BLAS, no framework, no GPU.
- avx2
- c99
- cpu-inference
- deep-learning
Run 35B MoE models in ~2.5 GB of RAM. Weights stream from SSD; a trained router predicts loads a step ahead. Mac, iPhone, Android, Windows supported
Lightweight, vanilla javascript parallax library
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
- optimization
- multi-objective-optimization
- nsga2
- nsga3
Project Maya - run GLM-5.3-Flash (321B MoE), DeepSeek-V4.1-Flash-1017 (748B MoE) and MiniMax-M3.1-Flash (428B MoE) privately on your own GPU(s), from one card to 16, NVIDIA or AMD, Linux or Windows. Engine, server, dashboard, OpenAI- and Anthropic-compatible API, quant tools.
FST: fast java serialization drop in-replacement
- serialization
- json
- java
- offheap
Implementing LLM architectures from scratch in PyTorch
- gemma3
- llama4
- llm
- moe
Get SQL Server notification on record table change
- notification
- notifications
- table
- record
Run a 105 GB AI model on a Mac that can't hold it. Qwen3.8-Flash-Next 4-bit, streamed from SSD on 16–64 GB Apple Silicon Macs. Fully native Swift, MLX and Metal. Offline, no Python. CLI, Swift library, and Ollama/OpenAI/Anthropic APIs. Works with Claude Code and Codex.
- apple-silicon
- llm
- llm-inference
- local-llm
A functional query tool for Elixir
Ming-3.0-tts is an open-source TTS model family with 0.5B dense and 7.9B-A1.3B MoE variants, supporting multilingual speech, voice cloning, voice design, and natural-language control.
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Xolotl (formerly Strata-DSV4.1): run DeepSeek-V4.1-Flash, all 552B, as a local coding agent on one gaming PC (RTX 4090 + 90 GB RAM) at up to ~27 tok/s, 512K context, October 1017 builds included. Plus GLM-5.3-Flash and Qwen3.8. MoE experts tiered across VRAM, pinned RAM and NVMe; OpenAI + Anthropic API.
A pure-Go JavaScript runtime built for running many small plugin sandboxes fast.
- golang
- javascript
- sandbox
Naive-N0.5-Flash is an open-weight 309B MoE model with 15.5B active parameters, built for coding and AI R&D.