Update README.md

README.md

@@ -1,3 +1,50 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+language:
+- en
+base_model:
+- state-spaces/mamba2-130m
+pipeline_tag: question-answering
+---
+
+# Mamba Retriever
+
+This repository contains model checkpoint for [Mamba Retriever](https://github.com/MambaRetriever/MambaRetriever)
+
+The model architecture is built upon [mamba](https://github.com/state-spaces/mamba), and is trained from [mamba2-130m](https://huggingface.co/state-spaces/mamba2-130m)
+
+
+# Usage
+
+We highly recommend creating a new conda environment first:
+```
+conda create -n mamba_retriever python=3.10.14
+conda activate mamba_retriever
+```
+
+Then, run the following in your terminal:
+```
+git clone https://github.com/state-spaces/mamba.git
+conda install cudatoolkit==11.8 -c nvidia
+pip install -r requirements.txt
+pip3 install torch==2.1.1 torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
+pip install accelerate -U
+cd mamba
+pip install .
+```
+
+Next, download and install the following two files from https://github.com/state-spaces/mamba/releases and https://github.com/Dao-AILab/causal-conv1d/releases:
+```
+mamba_ssm-2.2.2+cu118torch2.1cxx11abiFALSE-cp310-cp310-linux_x86_64.whl
+causal_conv1d-1.4.0+cu118torch2.1cxx11abiFALSE-cp310-cp310-linux_x86_64.whl
+```
+
+You can install them using
+```
+pip install mamba_ssm-2.2.2+cu118torch2.1cxx11abiFALSE-cp310-cp310-linux_x86_64.whl
+pip install causal_conv1d-1.4.0+cu118torch2.1cxx11abiFALSE-cp310-cp310-linux_x86_64.whl
+```
+
+## Evaluation
+
+All evaluation code and details are available at [Mamba Retriever Github](https://github.com/MambaRetriever/MambaRetriever)