AI is happening. The future is updating.GigaChat3.1-10B-A1.8B-bf16
`GigaChat 3.1 Lightning` is the compact instruct model of the GigaChat 3.1 family. It is a Mixture-of-Experts (MoE) model with 10B total parameters and 1.8B active parameters, designed for fast multilingual assistant workloads, reasoning, code, function calling, and product-style deployment. This repository contains the BF16 version of the model. The FP8 checkpoint is available at GigaChat3.1-10B-A1.8B, and a GGUF version is available at GigaChat3.1-10B-A1.8B-GGUF. The model has 10B total parameters with 1.8B active parameters at inference time. This allows it to scale model capacity aggressively while keeping the active compute budget much lower than that of an equally large dense model.
`GigaChat 3.1 Lightning` is the compact instruct model of the GigaChat 3.1 family. It is a Mixture-of-Experts (MoE) model with 10B total parameters and 1.8B active parameters, designed for fast multilingual assistant workloads, reasoning, code, function calling, and product-style deployment. This repository contains the BF16 version of the model. The FP8 checkpoint is available at GigaChat3.1-10B-A1.8B, and a GGUF version is available at GigaChat3.1-10B-A1.8B-GGUF. The model has 10B total parameters with 1.8B active parameters at inference time. This allows it to scale model capacity aggressively while keeping the active compute budget much lower than that of an equally large dense model.