Quick Run GLM-5-FP8 Using Pinokio with Native FP4

The shortest path to running this model is by activating Hyper-V features.

Make sure to follow the instructions below.

The loader auto-caches the model archive (several GBs included).

Without any user input, the software calibrates parameters for optimal hardware usage.

🔗 SHA sum: c62bb4006cec1f19ab29b3ee53b87e14 | Updated: 2026-06-27 Verify Processor: 6-core 3.5 GHz minimum required RAM: 32 GB or higher for smooth 32k context lengths Disk Space: at least 100 GB for multiple local LLM variants GPU: modern architecture (Ada Lovelace / Ampere minimum)

GLM-5-FP8 is a next-generation language model that leverages *FP8* quantization to deliver high performance on modern hardware. It maintains accuracy and speed while significantly reducing memory usage. The model sets new benchmarks in tasks such as MMLU and Commonsense Reasoning, achieving state-of-the-art results. Its refined transformer block incorporates sparse attention mechanisms for efficient processing of long sequences. A concise overview of its technical specifications is provided below.

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