For the fastest local setup of this model, Docker is the best choice.
Follow the step-by-step instructions below.
Hands-free setup: the system self-downloads the heavy model files.
The setup file includes an intelligent feature that instantly optimizes all configurations for your hardware profile.
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 consumer鈥慻rade hardware while maintaining high **accuracy** on benchmarks. A dedicated fine鈥憈uning 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 | 14鈥疊 |
| Quantization | 4鈥慴it AWQ |
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