IFM/K2-Horizon-MoVA-36B-A4B-GGUF · Hugging Face

more sizes (probably still uploading): https://huggingface.co/IFM/K2-Horizon-32B-GGUF https://huggingface.co/IFM/K2-Horizon-7B-GGUF https://huggingface.co/IFM/K2-Horizon-3.7B-GGUF https://huggingface.co/IFM/K2-Horizon-0.9B-GGUF from IFM: K2-Horizon-MoVA-36B-A4B is the sparse member of the K2-Horizon family: a Mixture-of-Experts model with Mixture-of-Values attention (MoVA) that stores 36B parameters and runs 4B per token. We have released the final checkpoint; intermediate checkpoints, along with the data and the training code, will be released. K2-Horizon-MoVA-36B-A4B Highlights Frontier-class results at 4B active parameters. On agentic and reasoning benchmarks it outscores open weight dense (approximately 30B model size) and MoE models up to 15× its size; and also performs competitively against closed frontier models (see Benchmark Results). 512K context. Native 524,288-token context from the midtraining stages onward. Intermediate checkpoints. Intermediate checkpoints will be released so capability changes can be studied across training rather than at a single checkpoint. Fully open. Training data/recipe and the training code will be made public. collection: https://huggingface.co/collections/IFM/k2-horizon submitted by /u/jacek2023 [link] [comments]

Source: r/LocalLLaMA | 2026-09-03