Benchmarking DeepSeek Locally on Dual RTX 3080s
bkin777 · reddit · 2026-07-16
A user shared benchmark results for running the quantized version of DeepSeek V4 Flash on a rig with 2× RTX 3080 20GB + 64GB DDR5, providing full hardware specs and launch parameters.
Key takeaways:
- Model: 86.7GB GGUF version
- Environment: Debian 13, Nvidia 610.43.02 driver, llama.cpp fork
- Config: 128k context, --split-mode layer, manually tuned -ts 130,43 to avoid OOM
- Performance: 17 tokens/s generation speed, 270 tokens/s prefill
The author notes it runs stably but can still be optimized. The post also mentions that this specific fork fixes output anomalies caused by context quantization.
Related event: Developers Benchmark DeepSeek Quantized Models Locally(2 posts)→
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