#inference

Run a 110B on a 2016 PC with 16 GB RAM. Know your tok/s before you download. Placement beats budget: predicts speed + memory fit for any GGUF on your exact hardware, self-calibrates, emits the exact llama.cpp command — or 'quantprobe auto' does it all. Falsification-tested laws; misses published at full size. pip install quantprobe

Out-of-tree vLLM plugin and open format spec for NVFP4-CB / FP8-CB product-codebook weights — 2-6 bit-per-weight LLM quantization served on native Blackwell tensor cores.

Faster Whisper transcription with CTranslate2

Multi-engine LLM benchmark & monitoring CLI for Apple Silicon

Training-free KV cache compression via E8 lattice VQ. 2-bit KV that preserves retrieval (30/30 NIAH vs TurboQuant 0/30). Calibration-free, 9 architectures validated.

Command-line tools for Bayesian modelling, MCMC inference, and post-inference diagnostics across probabilistic programming languages.

stanli, the Stan Language Interpreter: op-graph executor over precompiled stan-math kernels. Compile and sample Stan models with no C++ toolchain.

Keine Repository-Beschreibung veröffentlicht.

OramaCore is the complete runtime you need for your projects, answer engines, copilots, and search. It includes a fully-fledged full-text search engine, vector database, LLM interface, and many more utilities.

Keine Repository-Beschreibung veröffentlicht.

TypeScript SDK, CLI, agent, and relayer for Tangle AI Cloud — decentralized LLM inference

JetStream is a throughput and memory optimized engine for LLM inference on XLA devices, starting with TPUs (and GPUs in future -- PRs welcome).

Complete python SDK, CLI, and API reference for integrating with the Pictograph.io platform.

Fused CUDA kernels for LLM inference - RMSNorm / RoPE / SwiGLU

Route every LLM request to the cheapest model that provably passes your quality gate — with a signed, tamper-evident receipt for every decision. Proof over prediction.

JetStream is a throughput and memory optimized engine for LLM inference on XLA devices, starting with TPUs (and GPUs in future -- PRs welcome).

Run any local LLM engine, auto-tuned to your GPU — polished web UI + OpenAI/Anthropic-compatible API. Point Claude Code at your own machine in one command. No Electron, no Python, offline-first.