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lm-sys
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
!!! It's not an official WeChat Group, if the lm-sys find that it's not proper to post it, contact me to delete this. A group for people who are interested...
Dear Developers and Friends, I face it is very slow when using CPU, my environment is 1TB memory and 100C. I see from the function generate_stream. It seems like every...
Hi I am trying to deploy the model inside a docker container to build up the API service and WebUI : * base image : I tried both `nvidia/cuda:12.1.0-runtime-ubuntu20.04` and...
command: python -m fastchat.serve.model_worker --model-path /model_worker/lmsys/[vicuna-13b-delta-v1.1](https://huggingface.co/lmsys/vicuna-13b-delta-v1.1/tree/main) Error Info:  
The CUDA out of memory error occurred while saving in the last step of training 13B model on A100(40G) * 8, can someone help me to solve this? ## Training...
This change adds a working dockerized api setup, with the new t5 weights. Thanks for the great work on this new release! 
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Hi Developers and Friends, I face some issues here. When I use it to generate the result. From the result, the first part it is correct, but the rest of...
Hello, I want to run fschat on all 4 of my GPU's but even when I specify to use all 4 GPU's the model is still being run on 2...
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