Update README.md

README.md

@@ -55,77 +55,6 @@ We conduct evaluation on both mathematical and coding benchmarks. Due to the hig
 
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-<!-- Note:
-1. Evaluation variance for the same model is typically within ±0.5 across multiple runs.
-2. DeepCoder consistently scored around 23 in our tests - lower than its reported performance.
-3. NVIDIA's Nemotron-Research-Reasoning-Qwen-1.5B slightly outperformed its reported score, potentially due to different parameter settings in their original evaluation. -->
-
-## Getting Started
-
-### Installation
-
-```bash
-# Installing Python 3.10 Environment.
-conda create -n archer python=3.10 -y
-conda activate archer
-
-# Installing dependencies.
-pip install torch==2.5.1 --index-url https://download.pytorch.org/whl/cu124
-wget -nv https://github.com/Dao-AILab/flash-attention/releases/download/v2.7.3/flash_attn-2.7.3+cu12torch2.5cxx11abiFALSE-cp310-cp310-linux_x86_64.whl
-pip install --no-cache-dir flash_attn-2.7.3+cu12torch2.5cxx11abiFALSE-cp310-cp310-linux_x86_64.whl
-
-cd ArcherCodeR
-pip install -e .
-```
-
-### Data Preparation
-
-Download the training and test data from Hugging Face.
-
-```bash
-python tools/download_datasets.py
-```
-
-#### Initialize Ray Cluster
-
-We have provided a one-click script to initialize Ray environments on any number of machines. Run the following command on the head node:
-
-```bash
-bash ./tools/start_ray.sh
-```
-
-Note: 
-- Please replace your_wandb_api_key in export WANDB_API_KEY=your_wandb_api_key with your actual key.
-- Hostfile locations vary across operating systems (e.g., on my machine, it's located at /etc/mpi/hostfile). Locate the file on your server and modify its content accordingly.
-
-### Training
-
-We have currently only provided the script and data to reproduce the results of the “ArcherCodeR-1.5B-DAPO”.
-
-```bash
-bash ./scripts/train/run_archer_qwen2.5_1.5b_code.sh
-```
-
-### Evaluation
-
-#### Step 1: Convert model format
-
-Run the following command to convert the model to Hugging Face format:
-
-```bash
-bash ./tools/model_merge.sh
-```
-
-#### Step 2: Run evaluation
-
-Execute the script below to evaluate model performance on the LiveCodeBench v5 benchmark:
-
-```bash
-bash ./scripts/eval/run_eval.sh
-```
-
-Note: Please update the path parameters in the scripts above as needed.
-
 ## Technical Report
 
 [Stabilizing Knowledge, Promoting Reasoning: Dual-Token Constraints for RLVR](https://arxiv.org/abs/2507.15778)