
This repository contains installation instructions and helper scripts for setting up the FortyTwo Network console application on Linux systems
Sample index.html https://arcxteam.github.io/fortytwo-node/example/
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sudo apt update && sudo apt upgrade -y &&
sudo apt install -y \
automake autoconf build-essential clang curl \
gcc git htop iptables jq libatomic1 libblas3 libclang-dev \
libgbm1 liblapack3 liblapack-dev libleveldb-dev libomp-dev \
libopenblas-dev libgomp1 libopenmpi-dev libssl-dev lz4 make nano \
ncdu ninja-build nvme-cli pkg-config \
python3-pip screen tar tmux unzip wget
mkdir -p ~/FortytwoCLI && cd ~/FortytwoCLI
curl -L -o fortytwo-console-app.zip https://github.com/Fortytwo-Network/fortytwo-console-app/archive/refs/heads/main.zip
unzip fortytwo-console-app.zip
cd fortytwo-console-app-main
# will delete official script linux.sh
rm linux.sh
wget https://raw.githubusercontent.com/arcxteam/fortytwo-node/refs/heads/main/.p2p_known_peers.json
wget https://raw.githubusercontent.com/arcxteam/fortytwo-node/refs/heads/main/linux.sh
screen -S fortytwo
chmod +x linux.sh && ./linux.sh
Qwen3 1.7B Q4 but I’m recommended use custom modelCtrl + A + D# back to screen log
screen -r fortytwo
Note; After installation, the FortyTwo console application be ready run. If not yet received 42T after a few minutes or hourly.. check your logs, if get like here
The script downloaded FortytwoCapsule-linux-amd64-cuda124 (GPU version), which requires CUDA libraries libcuda.so.1. On CPU-only servers without NVIDIA drivers, this library is missing, causing the load failure.
llm_model.rs:315 llama.cppnvidia-smi and selects CPU binary (correct)-cuda124 for GPU, even in “CPU” branch—likely a script bug (non-existent CPU file defaults to GPU)rm -f FortytwoCapsule
LATEST=$(curl -s https://download.swarminference.io/capsule/latest)
wget “https://download.swarminference.io/capsule/v${LATEST}/FortytwoCapsule-linux-amd64”
-O FortytwoCapsule
chmod +x FortytwoCapsule
2. **Rerun Script**:
```bash
cd ~/FortytwoCLI/fortytwo-console-app-main
rm linux.sh
wget https://raw.githubusercontent.com/arcxteam/fortytwo-node/refs/heads/main/linux.sh
chmod +x linux.sh && ./linux.sh
select 1LLM_HF_REPO and LLM_HF_MODEL_NAMEGGUF & llama.cpp0.5B-3B with quantity param Q3_K_M or Q4_K_M or Q5_K_MExample my custom LLModel
LLM_HF_REPO="unsloth/DeepSeek-R1-Distill-Qwen-1.5B-GGUF"
LLM_HF_MODEL_NAME="DeepSeek-R1-Distill-Qwen-1.5B-Q4_K_M.gguf"
NODE_NAME="⬢ MATH EQUATIONS & REASONING: DeepSeek-R1-Distill-Qwen-1.5B Q4"
+="-cuda124" in download sections.