In practice these features alongside int4 weight only quantization allow us toreduce peak memory by ~55%, meaning we can Llama3.1-8B inference with a130k context length with only 18.9 GB of peak memory.More details can be foundhere
what's meaning of the debug info? The debug info is the min/max of the max of input. Please refer the code. neural-compressor/neural_compressor/adaptor/torch_utils/waq/utils.py Lines 286 to 291 in 24419c9 def cal_scale(input_max_abs, weights, alpha, weight_max_lb=1e-5): we...
Dr. Robert Kübler August 20, 2024 13 min read Hands-on Time Series Anomaly Detection using Autoencoders, with Python Data Science Here’s how to use Autoencoders to detect signals with anomalies in a few lines of… Piero Paialunga ...
In language tasks, a few words/tokens in a sentence exhibit more importance than words to understand the overall meaning of a sentence better, leading to different patterns of self-attention applied to different parts of the input. In vision applications, a few regions in the input image may ...
In language tasks, a few words/tokens in a sentence exhibit more importance than words to understand the overall meaning of a sentence better, leading to different patterns of self-attention applied to different parts of the input. In vision applications, a few regions in the input image may ...
Quanto is device agnostic, meaning you can quantize and run your model regardless if you are on CPU/GPU/ MPS (Apple Silicon). Quanto is also torch.compile friendly. You can quantize a model with quanto and call `torch.compile` to the model to compile it for faster generation. This featur...
axis=1. These settings offer a good balance between quality, vram usage and speed. If you want better results with the same vram usage, switch toaxis=0and use the ATEN backend. If you want to use lower likenbits=2, you should useaxis=0with a low group-size via HQQ+, meaning adding...
(3) High Accuracy: The agent should maintain high translation accuracy, accurately conveying the meaning of the original language and avoiding ambiguity and misunderstandings as much as possible. (4) Contextual Understanding: The agent needs to understand the context of the text or speech and transla...
In practice these features alongside int4 weight only quantization allow us to reduce peak memory by ~55%, meaning we can Llama3.1-8B inference with a 130k context length with only 18.9 GB of peak memory. More details can be found here Training Quantization Aware Training Post-training quantiz...
In practice these features alongside int4 weight only quantization allow us to reduce peak memory by ~55%, meaning we can Llama3.1-8B inference with a 130k context length with only 18.9 GB of peak memory. More details can be found here Quantization Aware Training Post-training quantization can...