Seed OSS 36B Instruct — Hardware Requirements & GPU Compatibility
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Seed OSS 36B Instruct is a 36B-parameter open language model from ByteDance-Seed. It supports a context window of up to 524,288 tokens. At BF16 it needs about 72.57 GB of VRAM — see which GPUs and Macs can run it below.
35.0K downloads
491 likesSpecifications
- Publisher
- ByteDance-Seed
- Parameters
- 36B
- Architecture
- SeedOssForCausalLM
- Context Length
- 524,288 tokens
- Vocabulary Size
- 155,136
- Release Date
- 2025-08-26
- License
- Apache 2.0
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HuggingFace
How Much VRAM Does Seed OSS 36B Instruct Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| BF16 | 16.00 | 72.6 GB | 141.0 GB | 72.00 GB | Brain floating point 16 — preferred for training |
Which GPUs Can Run Seed OSS 36B Instruct?
BF16 · 72.6 GBSeed OSS 36B Instruct (BF16) requires 72.6 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 95+ GB is recommended. Using the full 524K context window can add up to 68.5 GB, bringing total usage to 141.0 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Which Devices Can Run Seed OSS 36B Instruct?
BF16 · 72.6 GB5 devices with unified memory can run Seed OSS 36B Instruct, including NVIDIA DGX H100, NVIDIA DGX A100 640GB.
Related Models
Frequently Asked Questions
- How much VRAM does Seed OSS 36B Instruct need?
Seed OSS 36B Instruct requires 72.6 GB of VRAM at BF16. Full 524K context adds up to 68.5 GB (141.0 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 36B × 16 bits ÷ 8 = 72 GB
KV Cache + Overhead ≈ 0.6 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 69 GB (at full 524K context)
VRAM usage by quantization
BF1672.6 GBBF16 + full context141.0 GB- Can NVIDIA GeForce RTX 5090 run Seed OSS 36B Instruct?
No — Seed OSS 36B Instruct requires at least 72.6 GB at BF16, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
- Can I run Seed OSS 36B Instruct on a Mac?
Seed OSS 36B Instruct requires at least 72.6 GB at BF16, which exceeds the unified memory of most consumer Macs. You would need a Mac Studio or Mac Pro with a high-memory configuration.
- Can I run Seed OSS 36B Instruct locally?
Yes — Seed OSS 36B Instruct can run locally on consumer hardware. At BF16 quantization it needs 72.6 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Seed OSS 36B Instruct?
At BF16, Seed OSS 36B Instruct can reach ~40 tok/s on AMD Instinct MI300X. Speed depends mainly on GPU memory bandwidth. Real-world results typically within ±20%.
tok/s = (bandwidth GB/s ÷ model GB) × efficiency
Example: AMD Instinct MI300X → 5300 ÷ 72.6 × 0.55 = ~40 tok/s
Estimated speed at BF16 (72.6 GB)
~40 tok/s~30 tok/s~25 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Seed OSS 36B Instruct?
At BF16, the download is about 72.00 GB.
- Which GPUs can run Seed OSS 36B Instruct?
No single consumer GPU has enough VRAM to run Seed OSS 36B Instruct at BF16 (72.6 GB). Multi-GPU or professional hardware is required.
- Which devices can run Seed OSS 36B Instruct?
5 devices with unified memory can run Seed OSS 36B Instruct at BF16 (72.6 GB), including Mac Pro M2 Ultra (192 GB), Mac Studio M2 Ultra (192 GB), Mac Studio M4 Max (128 GB), NVIDIA DGX A100 640GB. Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.