Update README.md

Author: okoge-kaz

README.md

@@ -1,11 +1,8 @@
-# Kotoba Recipes
+# MoE Recipes
 
 # Table of Contents
 
 1. [Installation](#installation)
-2. [Instruction Tuning](#instruction-tuning)
-3. [LLM Continual Pre-Training](#llm-continual-pre-training)
-4. [Support Models](#support-models)
 
 ## Installation
 
@@ -31,24 +28,3 @@ To install the FlashAttention, run the following command: (GPU is required)
 pip install ninja packaging wheel
 pip install flash-attn --no-build-isolation
 ```
-
-### ABCI
-
-If you use [ABCI](https://abci.ai/) to run the experiments, install scripts are available in `kotoba-recipes/install.sh`.
-
-## Instruction Tuning
-
-[scripts/abci/instruction](scripts/abci/instruction) contains the scripts to run instruction tunings on ABCI.
-
-If you want to use custom instructions, you need to modify the `src/llama_recipes/datasets/alpaca_dataset.py`.
-
-## LLM Continual Pre-Training
-
-[scripts/abci/](scripts/abci/) contains the scripts to run LLM continual pre-training on ABCI.
-7B, 13B, 70B directories contain the scripts to run the experiments with the corresponding model size (Llama 2).
-
-## Support Models
-
-- [meta Llama 2](https://huggingface.co/meta-llama/Llama-2-7b-hf)
-- [mistral 7b](https://huggingface.co/mistralai/Mistral-7B-v0.1)
-- [swallow](https://huggingface.co/tokyotech-llm/Swallow-70b-hf)