Can I Run Seed OSS 36B Instruct on a NVIDIA A100 80GB?
Runs at Q8_0 — near-lossless quality.
3 quantizations fit your 80.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q8_0BEST | 39.5 GB | 41.0 GB | 38.4 GB | +40.5 GB |
| Q6_K | 30.8 GB | 32.3 GB | 29.7 GB | +49.2 GB |
| Q4_K_M | 22.9 GB | 24.4 GB | 21.8 GB | +57.0 GB |
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Top-ranked open-source models that fit in 80.0GB.
FAQ
Can the NVIDIA A100 80GB run Seed OSS 36B Instruct?
Yes. The NVIDIA A100 80GB's 80.0GB of VRAM is enough to run Seed OSS 36B Instruct at Q8_0 quantization (39.5GB required).
What's the best quantization to use?
Q8_0 is the highest-precision quantization that fits in your 80.0GB. It uses about 39.5GB of memory and 41.0GB recommended for comfortable inference.
What if I need more headroom for context length?
KV cache memory grows with context length. The numbers above assume a baseline 2K-4K context. For long-context use (32K+), add another 2-6GB depending on the model architecture.