The fastest method for installing this model locally is by using Docker.
Refer to the instructions below to proceed.
The installer automatically pulls the model (could be multiple GBs).
During setup, the script automatically determines and applies the best settings tailored to your machine.
Hermes-4-14B-AWQ-4bit is a **large language model** featuring **14 billion parameters** and optimized for both research and commercial deployment. Built on the latest transformer architecture, it leverages **AWQ (Activation-aware Weight Quantization)** to achieve a compact **4-bit** representation without sacrificing performance. The reduced memory footprint enables faster **inference speed** on consumerтАСgrade hardware while maintaining high **accuracy** on benchmarks. A dedicated fineтАСtuning pipeline allows developers to adapt the model for specialized tasks such as code generation, dialogue, and summarization. Below is a quick overview of its core specifications:
| Parameter Count | 14тАпB |
| Quantization | 4тАСbit AWQ |
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