Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
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中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
A vector index built on TurboQuant, written in Rust with Python bindings
Serve large Qwen models fast on the GPUs you actually own. Qwen3.8-27B on a single 24 GB card with vLLM: 127 tok/s single-user (381 when the answer quotes the prompt), ~1,035 tok/s at 64 concurrent, 150k-262k context. vLLM patches, requant pipeline, benchmarks.
Dataflow compiler for QNN inference on FPGAs
QKeras: a quantization deep learning library for Tensorflow Keras
Official library for RaBitQ vector quantization and approximate nearest-neighbor search, in C++ and Python.
Fast, exact inference for StartLux-Decision models on NVIDIA GPUs: the released GGUF files on int8 and 4-bit tensor cores, behind the /v1/systemone API, with up to 5.3× lower latency than vLLM in FP8 and bit-identical answers.
PrismQuant: Optimal Null-Space Rotations for Grouped Quantizers