We introduce Query-aware Inference for LLMs (Q-LLM), a system designed to process extensive sequences akin to human cognition. By focusing on memory data relevant to a given query, Q-LLM can accurately capture pertinent information within a fixed window size and provide precise answers to ...
conda create -n qllm python=3.10 -y conda activate qllm git clone https://github.com/ModelTC/QLLM cd QLLM pip install --upgrade pip pip install -e . ⚙️ Usage We provide the training scripts in scripts folder. For example, to perform W4A8 quantization for LLaMA-7B, run sh sc...
@wejoncy#138 feat: support new quantization algorithm 'Vptq' by@wejoncyin#141 #143 fix package by@wejoncyin#144 @wejoncy in Full Changelog:v0.2.0...v0.2.1
conda create -n qllm python=3.10 -y conda activate qllm git clone https://github.com/ModelTC/QLLM cd QLLM pip install --upgrade pip pip install -e . ⚙️ Usage We provide the training scripts inscriptsfolder. For example, to perform W4A8 quantization for LLaMA-7B, run ...
Qllm-Eval列举出很多大模型落地环节应当关注的模型能力，对产业中的模型量化工作实践，比如如何选取量化方法、针对哪些层或组件进行优化等问题具有指导意义。图注：重要知识点总结 原文链接：https://arxiv.org/pdf/2402.18158.pdf仓库地址：https://github.com/thu-nics/qllm-eval 欢迎Follow该仓库查看更详细的实验...
Qllm-Eval列举出很多大模型落地环节应当关注的模型能力，对产业中的模型量化工作实践，比如如何选取量化方法、针对哪些层或组件进行优化等问题具有指导意义。图注：重要知识点总结 原文链接：https://arxiv.org/pdf/2402.18158.pdf仓库地址：https://github.com/thu-nics/qllm-eval 欢迎Follow该仓库查看更详细的实验...
执行main.py CUDA_VISIBLE_DEVICES=0 python main.py --models hf_opt_125m --datasets SuperGLUE_BoolQ_ppl --work-dir ./outputs/debug/api_test --w_bit 8 出现这个错误 (qllm_eval) lyg@lyg-System-Product-Name:~/Codes/score/qllm-eval$ CUDA_VISIBLE_DEVICES=0 python /home/lyg/Codes/score/...
仓库地址:https://github.com/thu-nics/qllm-eval 欢迎Follow该仓库查看更详细的实验数据以及绘图工具,并追踪更多模型的测试结果。后续该项目还将随着Transformer的版本更新持续迭代,以支持更多模型的KV Cache量化。 1、训练后量化(Post-Training Quantization,PTQ) ...
They can also directly retrieve data from some databases and APIs (GitHub, Reddit, Google Drive, etc.). Splitting documents: Text splitters break down documents into smaller, semantically meaningful chunks. Instead of splitting text after n characters, it's often better to split by header or ...
本地部署大语言模型deepseek-1.5B版本. Contribute to Q95754932/LLM development by creating an account on GitHub.