GLM-4.7-Flash
How much memory it needs, what its licence allows, and whether it fits an office box.

GLM-4.7-Flash is a language model for chat, drafting and question answering, published by Z.ai (Zhipu) on Hugging Face on 19 January 2026. It has about 31.2 billion parameters and a configured context window of 202,752 tokens. It is a mixture-of-experts model: 64 experts, 4 used for each token.

Its card lists the licence as MIT. In short, the licence allows commercial use, modification and redistribution as long as the copyright notice is kept.

Hugging Face counted about 1,601,526 downloads of it in the 30 days before we checked (7 Oct 2026), and 1,863 people have liked it there.

The card lists 2 languages: en, zh (ISO codes as given on the card).

We size it the way you would size any model: the weights (parameters × bits ÷ 8), the KV cache for 8,192 tokens of context, and roughly 1.5 GB for the runtime itself. Real use varies with settings.

Each token of context adds about 0.05 MB of KV cache at 16-bit, so 32,768 tokens would add about 1.8 GB. This model uses multi-head latent attention, which stores a compressed cache.

Arithmetic against the launch specification, not a test: about three quarters of ANVE One’s 64 GB of unified memory for the model (as AMD’s Variable Graphics Memory allows), and the 24 GB on the graphics card in ANVE Office and ANVE Office Pro, which keep the rest of the stack in 64 GB and 128 GB of system memory. ANVE’s tested default is Qwen 3.8 27B; this model is not yet validated on ANVE.

This is the class ANVE runs by default (27B-class): strong enough for meeting minutes, summaries, drafting and question answering over an office’s own documents, and small enough for one box.

• Nemotron-3-Nano-30B-A3B (31.6B parameters, about 19 GB at 4-bit before context; custom licence: check before commercial use)
• Qwen3-30B-A3B (30.5B parameters, about 19 GB at 4-bit before context; commercial use allowed)
• Qwen3-30B-A3B-Instruct-2507 (30.5B parameters, about 19 GB at 4-bit before context; commercial use allowed)

No sealed ANVE unit exists; every image of the appliance on this site is a labelled render. The software runs today on a development machine. No customers yet, no certifications, no delivery date, and the final price is not announced.

Reservations are ₹999 in India or US$12 elsewhere, refundable in full until you confirm an order in writing (terms). Offices that cannot use cloud AI can apply to be one of ten design partners.