Update llm nightly

neuralmagic · Oct 12, 2023 · baa9f91 · baa9f91
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diff --git a/README.md b/README.md
@@ -56,7 +56,7 @@ We are excited to announce initial support for performant LLM inference in DeepS
 
 Install (requires Linux):
 ```bash
-pip install -U deepsparse-nightly[transformers]==1.6.0.20231007
+pip install -U deepsparse-nightly[llm]
 ```
 
 Run inference:

diff --git a/docs/llms/text-generation-pipeline.md b/docs/llms/text-generation-pipeline.md
@@ -23,7 +23,7 @@ This user guide explains how to run inference of text generation models with Dee
 DeepSparse support for LLMs is available on DeepSparse's nightly build on PyPi:
 
 ```bash
-pip install -U deepsparse-nightly[transformers]==1.6.0.20231007
+pip install -U deepsparse-nightly[llm]
 ```
 
 #### **System Requirements**

diff --git a/research/mpt/README.md b/research/mpt/README.md
@@ -43,7 +43,7 @@ While GSM is a "toy" math dataset, it serves as an example of how LLMs can be ad
 Install the DeepSparse Nightly build (requires Linux):
 
 ```bash
-pip install deepsparse-nightly[transformers]==1.6.0.20231007
+pip install -U deepsparse-nightly[llm]
 ```
 
 The models generated in the paper are hosted on [SparseZoo](https://sparsezoo.neuralmagic.com/?ungrouped=true&sort=null&datasets=gsm8k&architectures=mpt) and [Hugging Face](https://huggingface.co/collections/neuralmagic/sparse-finetuning-mpt-65241d875b29204d6d42697d).