A GitHub project called minnow provides a fast inference server for LLaDA2.2, shared via Reddit on 2026-09-09. It gives practitioners a serving option for the LLaDA2.2 diffusion language model.
WebLLM: high-performance in-browser LLM inference engine shared on Hacker News
WebLLM: high-performance in-browser LLM inference engine shared on Hacker News
Liquid AI released LFM 2.5 QAD, a quantized version of its Liquid Foundation Model, with a 2.6B parameter GGUF file available on Hugging Face. The release was announced via a tweet from Liquid AI's official account.
Liquid AI released LFM 2.5 QAD, a quantized version of its Liquid Foundation Model, with a 2.6B parameter GGUF file available on Hugging Face. The release was announced via a tweet from Liquid AI's official account.
A developer released open-source AMDGCN kernels aimed at optimizing LLM inference. The kernels target AMD hardware to improve performance.
A developer released open-source AMDGCN kernels aimed at optimizing LLM inference. The kernels target AMD hardware to improve performance.
xllm: lightweight infrastructure for express LLM pre-training
xllm: lightweight infrastructure for express LLM pre-training
Anansi is an open-source memory API designed to give LLM applications persistent, queryable memory. It solves the problem of stateless LLM interactions by providing a simple interface for storing and retrieving conversation context or knowledge, aimed at developers building LLM-powered apps.
Anansi is an open-source memory API designed to give LLM applications persistent, queryable memory. It solves the problem of stateless LLM interactions by providing a simple interface for storing and retrieving conversation context or knowledge, aimed at developers building LLM-powered apps.