Qwen3.5-122B-A10B-FP8 Locally via Ollama 2 One-Click Setup Easy Build
The shortest path to running this model is by activating Hyper-V features.
Simply follow the directions outlined below.
The script takes care of fetching the multi-gigabyte model weights.
The setup file includes a feature that instantly optimizes all configurations.
The Qwen3.5-122B-A10B-FP8 model delivers unprecedented performance for large language tasks with its massive 122 billion parameters and optimized A10B architecture.
Built with FP8 precision, the model achieves a balance between computational efficiency and accuracy, reducing memory footprint while maintaining high fidelity outputs.
Benchmarks across diverse NLP tasks show that the model outperforms previous generations by a significant margin, especially in reasoning and code generation.
Its inference latency is notably low on modern GPUs, enabling real‑time applications without sacrificing quality.
The model also supports multimodal inputs, allowing seamless integration with text, images, and audio for comprehensive AI solutions.
| Specification | Value |
|---|---|
| Parameters | 122 B |
| Precision | FP8 |
| Architecture | A10B |
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