AHN Mamba 2 For Qwen 2.5 Instruct 14B
ByteDance's AHN Mamba 2 For Qwen 2.5 Instruct 14B is a chat model that excels at handling long-context conversations, thanks to its Artificial Hippocampus Networks (AHNs) architecture, which transforms lossless memory into fixed-size compressed representations. With a context window of 32,768 tokens, this model is well-suited for processing lengthy input sequences.
Input
Output
Context
33K
Max Output
8K
Parameters
51.4M
Technical Specifications
Model TypeChat
Context Window32,768 tokens
Max Output Tokens8,192 tokens
Parameters51.4M
Release DateOct 8, 2025
Training CutoffNot available
Licenseapache-2.0
Open SourceYes
Input Modalities
Text
Output Modalities
Text
Capabilities
Estimated GPU Requirements for AHN Mamba 2 For Qwen 2.5 Instruct 14B
Estimates based on INT8 quantization. Actual requirements vary by framework and configuration.
Related Tools
Data sourced from official provider APIs and documentation
Last updated: Jun 23, 2026
Start building with the right model.
Automatically route workloads to the right model for every task, every time.