The quick start builds and runs Qwen3-0.6B: trtmc build Qwen/Qwen3-0.6B --precision bf16 --max-cache-length 16384 --output qwen3-0.6b.bundle trtmc run ./qwen3-0.6b.bundle --prompt "What is the capital ...

S1-mini is a 462 MB open-weights normalizer that sits after ASR, removing fillers and resolving self-corrections locally.

In this tutorial, we implement an end-to-end supervised fine-tuning pipeline for the XYZ-Aquila-SFT dataset, Hugging Face Transformers, PyTorch, and PEFT. We stream and inspect the dataset, parse ...

Z.ai just released GLM-5.3. GLM-5.3 runs on the same 743B base model as GLM-5.2. Every reported gain comes from scaled post-training: more task environments, more environment types, longer training.

Meta has released Muse Glimmer, a 30-billion-parameter multimodal model distilled from Muse Spark. It is tuned for always-on local agent workflows, and ships under Apache 2.0. A 30B model normally ...

In this tutorial, we build an end-to-end post-training pipeline for a compact instruction-tuned language model using AllenAI’s Open Instruct framework. We move through three major training stages: ...

In this tutorial, we implement an end-to-end MiniMax-H3 video generation workflow using ComfyUI as a headless inference backend. We configure the environment around GPU memory, disk capacity, model ...

Long-horizon agents accumulate context faster than they resolve tasks. Every tool output, observation, and intermediate reasoning step stays in the window, and the two capabilities that matter — ...

Kimi K3 is a sparse Mixture-of-Experts (MoE) model built on two architectural updates. Those are Kimi Delta Attention (KDA) and Attention Residuals (AttnRes). Both change how information flows across ...

Most foundation models in biology have a fundamental blind spot: they see cells as frozen snapshots. Give a model a single-cell transcriptome — a readout of which genes are active in a cell at a given ...

The streaming giant's research team dropped a model that doesn't just remove objects from video. It understands what happens next. Video editing has always had a dirty secret: removing an object from ...

Chat Memory is not flat. Conversations save as L0, then an async pipeline refines them into L1 Atom, L2 Scenario and L3 Core/Persona. Retrieval is layered too. L2 and L3 provide a fast context ...