AHN Mamba 2 For Qwen 2.5 Instruct 7B
ByteDance's AHN Mamba 2 For Qwen 2.5 Instruct 7B is a chat model that excels at handling long-context inputs, leveraging Artificial Hippocampus Networks (AHNs) to transform lossless memory into fixed-size compressed representations. With a context window of 32,768 tokens, this model is well-suited for tasks that require processing lengthy sequences of text.
Input
Output
Context
33K
Max Output
8K
Parameters
18.6M
Technical Specifications
Model TypeChat
Context Window32,768 tokens
Max Output Tokens8,192 tokens
Parameters18.6M
Release DateOct 8, 2025
Training CutoffJun 1, 2024
Licenseapache-2.0
Open SourceYes
Input Modalities
Text
Output Modalities
Text
Capabilities
Estimated GPU Requirements for AHN Mamba 2 For Qwen 2.5 Instruct 7B
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 24, 2026
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