Key Features and Advantages Compact yet Powerful: With only 13 billion active parameters (out of a total of 80 billion), the model delivers competitive performance on a wide range of benchmark tasks, rivaling much larger models. Hybrid Reasoning Support: Supports both fast and slow thinking modes, allowing users to flexibly choose according to their needs. Ultra-Long Context Understanding: Natively supports a 256K context window, maintaining stable performance on long-text tasks. Enhanced Agent Capabilities: Optimized for agent tasks, achieving leading results on benchmarks such as BFCL-v3, τ-Bench and C3-Bench. Efficient Inference: Utilizes Grouped Query Attention (GQA) and supports multiple quantization formats, enabling highly efficient inference.

Why Choose Hunyuan-A13B? As a powerful yet computationally efficient large model, Hunyuan-A13B is an ideal choice for researchers and developers seeking high performance under resource constraints. Whether for academic research, cost-effective AI solution development, or innovative application exploration, this model provides a robust foundation for advancement.

Parameters specifically for Roo Code:

PARAMETER top_p 0.9
PARAMETER num_ctx 96304
PARAMETER num_keep 1500
PARAMETER num_predict 32768
PARAMETER repeat_penalty 1.1
PARAMETER temperature 0.25
PARAMETER top_k 40