gpt-oss-20b
The memory it needs, what you may do with it, and the hardware it suits.

gpt-oss-20b is a language model for chat, drafting and question answering, published by OpenAI on Hugging Face on 4 August 2025. It has about 20.9 billion parameters and a configured context window of 131,072 tokens. It is a mixture-of-experts model: 32 experts, 4 used for each token.

Its card lists the licence as Apache 2.0. In short, the licence allows commercial use, modification and redistribution, with attribution and a copy of the licence, and includes a patent grant.

Hugging Face counted about 6,192,993 downloads of it in the 30 days before we checked (7 Oct 2026), and 5,136 people have liked it there.

The arithmetic: parameters × bits per weight ÷ 8 gives the weights; add the KV cache, which grows with every token of context; then add about 1.5 GB for the runtime. These are estimates for planning, not measurements.

Each token of context adds about 0.02 MB of KV cache at 16-bit, so 32,768 tokens would add about 0.81 GB. 12 of its 24 layers use sliding-window attention, so the real cache is smaller than this full-attention estimate.

These verdicts are arithmetic, not tests, against the specification at launch: ANVE One can give a model about three quarters of its 64 GB of unified memory, while ANVE Office and ANVE Office Pro hold it on a 24 GB graphics card and keep the rest of the stack in 64 GB or 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.

• ERNIE-4.5-21B-A3B-Thinking (21.8B parameters, about 14 GB at 4-bit before context; commercial use allowed)
• internlm2-chat-20b (19.9B parameters, about 13 GB at 4-bit before context; custom licence: check before commercial use)
• EuroLLM-22B-Instruct-2512 (22.6B parameters, about 14 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.