Seed-OSS-36B-Instruct The memory it needs, what you may do with it, and the hardware it suits.
Short answer. Seed-OSS-36B-Instruct needs about 24 GB of memory at 4-bit, 42 GB at 8-bit and 76 GB at full 16-bit precision, including runtime overhead and an 8,192-token KV cache. It has about 36.2 billion parameters and a 524,288-token context window. Licence in short: commercial use allowed. By memory alone, on ANVE’s launch configurations: ANVE One fits at 8-bit, ANVE Office fits at 4-bit, ANVE Office Pro (GPU) fits at 4-bit. These are estimates from its published size, not benchmarks.
01
What it is
Seed-OSS-36B-Instruct is a language model for chat, drafting and question answering, published by ByteDance Seed on Hugging Face on 20 August 2025. It has about 36.2 billion parameters and a configured context window of 524,288 tokens.
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 50,069 downloads of it in the 30 days before we checked (7 Oct 2026), and 505 people have liked it there.
02
How much memory it needs
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 0.26 MB of KV cache at 16-bit, so 32,768 tokens would add about 8.6 GB.
Precision
Weights
KV cache (8,192 tokens)
Total, estimated
BF16 (full precision)
72 GB
2.1 GB
76 GB
8-bit (Q8_0)
38 GB
2.1 GB
42 GB
4-bit (Q4_K)
20 GB
2.1 GB
24 GB
03
Architecture at a glance
Setting
Value in config.json
Architecture class
SeedOssForCausalLM
Model type
seed_oss
Layers
64
Hidden size
5,120
Attention heads
80
Key-value heads
8 (grouped-query attention)
Head size
128
Vocabulary
155,136
Configured context
524,288
Stored precision
bfloat16
04
Will it fit on ANVE?
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.
Configuration (at launch)
Memory for the model
Verdict
ANVE One
about 48 GB of 64 GB unified memory
fits at 8-bit
ANVE Office
24 GB on the RTX PRO 4000 Blackwell SFF Edition
fits at 4-bit
ANVE Office Pro (GPU)
24 GB on the RTX PRO 4000 Blackwell
fits at 4-bit
05
What an office would use it for
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.
06
Similar models to compare
c4ai-command-r-v01 (35.0B parameters, about 21 GB at 4-bit before context; non-commercial only)
Qwen2.5-32B-Instruct (32.8B parameters, about 20 GB at 4-bit before context; commercial use allowed)
DeepSeek-R1-Distill-Qwen-32B (32.8B parameters, about 20 GB at 4-bit before context; commercial use allowed)
07
Questions people ask
How much memory does Seed-OSS-36B-Instruct need?
About 24 GB at 4-bit, 42 GB at 8-bit and 76 GB at full 16-bit precision, including an 8,192-token KV cache and about 1.5 GB of runtime overhead. These are estimates from its parameter count.
Can Seed-OSS-36B-Instruct run on a 24 GB graphics card?
Yes, at 4-bit by this estimate, with room left for context.
Is Seed-OSS-36B-Instruct free for commercial use?
Its card lists Apache 2.0, which allows commercial use, modification and redistribution, with attribution and a copy of the licence, and includes a patent grant. Read the licence itself before relying on this summary; it is not legal advice.
What is Seed-OSS-36B-Instruct’s context window?
Its configuration sets 524,288 tokens. Longer contexts need more memory for the KV cache, so the practical limit on a given machine can be lower.
08
What is not real yet
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.
