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There are several projects aiming to make inference on CPU efficient.
The first part is research:
- Which project works better,
- And compatible with Refact license,
- And doesn't bloat the dock…
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MLA(Multi-Head Latency Attention) was proposed in [DeepSeek-v2](https://github.com/deepseek-ai/DeepSeek-V2/blob/main/deepseek-v2-tech-report.pdf) for efficient inference.
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# AutoFocus: Efficient Multi-Scale Inference #
- Author: Mahyar Najibi, Bharat Singh, Larry S. Davis
- Origin: https://arxiv.org/abs/1812.01600
- Related:
> This is 2.5X faster than our multi-…
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### 🚀 The feature, motivation and pitch
For LLM inference, requests per second(QPS) is not constant. It needs launch vllm engine on demand. For elastic instance, it's significance to reduce TTFT(Time…
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### 🚀 The feature, motivation and pitch
I'm working on ensembling multiple UNet with the method mentioned in [MODEL ENSEMBLING
](https://pytorch.org/tutorials/intermediate/ensembling.html). This met…
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Hey guys great work with this. We were wondering if and (approximately) when you will be releasing the multi gpu inferencing. Furthermore what is the time taken with default settings to inference a 6 …
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(allegro) D:\PyShit\Allegro>python single_inference.py ^
More? --user_prompt "A seaside harbor with bright sunlight and sparkling seawater, with manyboats in the water. From an aerial view, the boats…
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Recently, I noticed that the `SentenceTransformers` class has gained the ability to use the ONNX backend, which is incredibly beneficial for enhancing performance, especially on CPUs.
I would like …
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## Model Zoo (we generally first implement USP and then PipeFusion for a new model)
wait for your comments.
## Scheduler
- [ ] Decouple VAE and DiT backbone. They can have different parallel …
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Hi @HL-hanlin ,
Thank you for you amazing work of Ctrl-Adapter! I was trying to run the code on a single NVIDIA 3090 GPU, but I came into the OOM error. Could you please enlighten me what GPU resou…