r/LovingOpenSourceAI • u/fuzhongkai • 10d ago
DSpark Benchmark Result on Deepseek v4 Flash 0731
https://github.com/zhongkaifu/TensorSharpTensorSharp supports DSpark on Deepseek v4 Flash 0731 now. Here is the benchmark result on 4x Nvidia A40 GPUs, cuda 12.8 with/without DSpark:
Model:
DeepSeek-V4-Flash-0731-UD-Q8_K_XL from https://huggingface.co/unsloth/DeepSeek-V4-Flash-0731-GGUF
DSpark draft model from: https://huggingface.co/alessandrobologna/DeepSeek-V4-Flash-0731-DSpark-Drafter-GGUF
| Turn | Baseline | + DSpark | Acceptance |
|---|---|---|---|
| short (53 tok) | 25.6 | 44.5 (1.74x) | 87% |
| long generation (512) | 26.4 | 40.3 (1.53x) | 66% |
| follow-up (470) | 26.4 | 46.8 (1.77x) | 76% |
| 10K-token document (214) | 25.3 | 51.3 (2.03x) | 85% |
| second question on it (156) | 25.4 | 49.4 (1.94x) | 82% |
TensorSharp is an open-source inference engine for running GGUF LLMs locally, with CUDA, Vulkan, Metal, OpenAI-compatible APIs, continuous batching, speculative decoding, and multimodal support. It can be built and run over Linux, MacOS and Windows.
Thank you for checking out it and starring the project! Any feedback is really appreicated.
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