Motivation As discussed in our sync meeting @merrymercy @Ying1123 , we aim to contribute to SGLang by integrating NVIDIA's TensorRT Model Optimizer (ModelOpt) with optimized and quantized models, f...
This PR is for upstreaming AutoGPTQ/AutoAWQ quantized model inference enablement for HPU (commits in this PR are already merged into vllm-fork for HPU with HabanaAI#770). maktukmak and others added 20 commits February 25, 2025 22:24 gptq hpu support added 1c005c7 row vs column para...
Technologies like T-MAC, Ladder, and LUT Tensor Core provide solutions for running low-bit quantized LLMs, supporting efficient operation across edge devices and encouraging researchers to design and optimize LLMs using low-bit quantization. By reducing memory and computational demands...
de-quantized v’ = [-1.1, 70, 5.5, 0.0]精度的损失开始出现了，让如果我们将同样的损失应用于由70亿个参数组成的LLM:缺乏精度将在整个神经网络中积累，导致有意义的信息完全丢失，并导致纯噪声。而且我们现在使用的是8位格式，如果是4位甚至3位，结果会更糟，对吧。但是大佬们找到了一种将量化应用于...
This paper presents a methodology to separate the quantization process from the hardware-specific model compilation stage via a pre-quantized deep learning model description in standard ONNX format. Separating the quantization process from the model compilation stage enables independent development. The ...
i am using deeplabv3_257_mv_gpu.tflite download from tensoflow lite web page and targeted for mobile devices. I believe it is already quantized and optimized. BTW, if i want to check whether the model file is quantized? how to do it? 0 Kudos Reply Post...
The DEE in the solution after 4 h reaction was quantized by flame ionization detector (FID) detector. The stability test was performed in 16 h containing four circles. Every circle lasted 4 h. Similarly, the amount of produced H2 was tested every hour, and DEE in the solution was analyzed...
Deploying low-bit quantized LLMs on edge devices often requires dequantizing models to ensure hardware compatibility. However, this approach has two major drawbacks: Performance:Dequantization overhead can result in poor performance, negating the benefits of low-bit quantization....
Grok-1 INT4-FP8 quantized model performance (one measured) # CK_MOE=1 USE_INT4_WEIGHT=1 python -m sglang.bench_one_batch --batch-size 32 --input 1024 --output 512 --model /data/grok-1-W4A8KV8 --tokenizer-path Xenova/grok-1-tokenizer --tp 8 --quantization fp8 --trust-remote-...
TypeError: Object of type Int4CPULayout is not JSON serializablewhen I want to save the int4 quantized model. It seems that the torchao api is not friendly. We'd like to figure out how to make it works. ifnottorch.cuda.is_available()andis_torchao_available()andself.quant_type=="int...