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hello community,
I thing there is a question a lot of people using LaVague asks themselves: how can I speed up my webagent scrapping ? It is very very slow.
How can I speed up the webagent scra…
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https://arxiv.org/pdf/2410.16663
On **Ascend NPUs**, our FastAttention can achieve a 10.7× speedup compared to the
standard attention implementation.
End-to-end performance evaluation of FastAtte…
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Currently, the job measures baseline and the latest performance at runtime.
Here, we aim to push the baseline into the repository (per the target environment), reducing the job runtime by half.
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In order to speedup tests it will be goo to update "ubuntu" runner to stronger one. I tried to do it by adding `ubuntu-latest-erigontests-large` but it doesn't work (stuck at Waiting for a runner to p…
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Hello Allegro Team,
I hope this message finds you well. I would like to propose the integration of xDiT, a scalable inference engine for Diffusion Transformers (DiTs), into the Allegro ecosystem. x…
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### SDK
Python
### Description
- From https://huggingface.co/blog/embedding-quantization: _Binary and Scalar Embedding Quantization for Significantly Faster & Cheaper Retrieval_
- Also from https…
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Objects can only be cyclic garbage if they are not reachable.
So, if we can cheaply identify the majority of reachable objects before performing the (relatively slow) cycle detecting pass, we can sav…
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Hi team,
I'm running inference on a g5.24xlarge GPU instance. The data is currently structured in a Pandas dataframe. I use Pandas apply method to apply the predict_entities function. When the df g…
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Some options:
- Check whether some model parameters can be omitted via the `save_pars` argument in `brms::brm()`
- Optimize multithreading, currently a single core is used for each chain, but `brms`…
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bitnet.cpp is the official inference framework for 1-bit LLMs (e.g., BitNet b1.58). It offers a suite of optimized kernels, that support fast and lossless inference of 1.58-bit models on CPU (with NPU…