From 21b44ad938266b94a3d1efc6a0f44a3563b3ec3f Mon Sep 17 00:00:00 2001 From: RangeKing Date: Thu, 6 Jul 2023 17:46:51 +0800 Subject: [PATCH] Update README.md --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index ae70f50..3795193 100644 --- a/README.md +++ b/README.md @@ -59,7 +59,7 @@ We conducted a comprehensive evaluation of InternLM using the open-source evalua | HumanEval | 14.0 | 10.4 | 14.0 | 9.2 | 9.2 | 9.2 | 11.0 | | RACE(High) | 76.3 | 57.4 | 46.9* | 28.1 | 66.3 | 40.7 | 54.0 | -- The evaluation results were obtained from[OpenCompass 20230706](https://github.com/internLM/OpenCompass/) (some data marked with *, which menas come from the original papers), and evaluation configuration can be found in the configuration files provided by [OpenCompass](https://github.com/internLM/OpenCompass/). +- The evaluation results were obtained from [OpenCompass 20230706](https://github.com/internLM/OpenCompass/) (some data marked with *, which means come from the original papers), and evaluation configuration can be found in the configuration files provided by [OpenCompass](https://github.com/internLM/OpenCompass/). - The evaluation data may have numerical differences due to the version iteration of [OpenCompass](https://github.com/internLM/OpenCompass/), so please refer to the latest evaluation results of [OpenCompass](https://github.com/internLM/OpenCompass/). ### Model Zoo @@ -82,7 +82,7 @@ To load the InternLM 7B Chat model using Transformers, use the following code: >>> model = model.eval() >>> response, history = model.chat(tokenizer, "hello", history=[]) >>> print(response) -Hello! How can I help you today？ +Hello! How can I help you today? >>> response, history = model.chat(tokenizer, "please provide three suggestions about time management", history=history) >>> print(response) Sure, here are three tips for effective time management: