> **Jev-Style v3 is available — smaller and stronger:** Jev-Style-0.8B-Decision-v3-MLX scores **79.2%** on the 2,000 typed decisions (v1: 53.4%, v2: 73.5%, as reported on the v2 card), takes **25,600-token** inputs, works across **51 languages** and scores options without the 26-letter cap (tested with 77 options), all at **0.8B** parameters. This repository preserves v1; v2 is here. A **Jev-style decision model**: it does not write text. Give it a state, a question and a list of options, and one forward pass returns the decision **with calibrated probabilities** - in 77 ms on an M1 Max. GGUF builds (BF16 / Q8_0 / Q4_K_M) for LM Studio and llama.cpp: chaoliangUNSW/Jev-Style-Qwen3.5-2B-Decision-GGUF
Vocos is a fast neural vocoder designed to synthesize audio waveforms from acoustic features. Trained using a Generative Adversarial Network (GAN) objective, Vocos can generate waveforms in a single forward pass. Unlike other typical GAN-based vocoders, Vocos does not model audio samples in the time domain. Instead, it generates spectral coefficients, facilitating rapid audio reconstruction through inverse Fourier transform.
Big thanks to the defog team for open sourcing sql-eval 👏 Natural-SQL also can handle complex, compound questions that other models typically struggle with. There is a more detailed writeup Here is a write up, small test done here. The model weights are licensed under `CC BY-SA 4.0`, with extra guidelines for responsible use expanded from the original model's Deepseek license. You're free to use and adapt the model, even commercially. If you alter the weights, such as through fine-tuning, you must publicly share your changes under the same `CC BY-SA 4.0` license.
GLM-4.5-Air는 당사 최신 플래그십 모델 계열의 경량형 버전으로, 에이전트 중심 애플리케이션에 특화되어 설계되었습니다. GLM-4.5와 마찬가지로 전문가 혼합(Mixture-of-Experts, MoE) 아키텍처를 채택하고 있지만, 더 컴팩트한 파라미터 구조를 갖추고 있습니다...
GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering,...