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#!/usr/bin/env python3 | |
""" | |
Ollama Model Manager | |
This script provides two modes of operation: | |
- export: Exports an installed Ollama model to a tarball. | |
- import: Imports an Ollama model from a tarball. | |
The export mode reads a manifest file located at: | |
<base_path>/manifests/registry.ollama.ai/library/<model_name>/<model_size> |
# train_grpo.py | |
# | |
# See https://github.com/willccbb/verifiers for ongoing developments | |
# | |
""" | |
citation: | |
@misc{brown2025grpodemo, | |
title={Granular Format Rewards for Eliciting Mathematical Reasoning Capabilities in Small Language Models}, | |
author={Brown, William}, |
#!/bin/bash | |
### steps #### | |
# verify the system has a cuda-capable gpu | |
# download and install the nvidia cuda toolkit and cudnn | |
# setup environmental variables | |
# verify the installation | |
### | |
### to verify your gpu is cuda enable check |
# Setup Ubuntu | |
sudo apt update --yes | |
sudo apt upgrade --yes | |
# Get Miniforge and make it the main Python interpreter | |
wget https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-Linux-aarch64.sh -O ~/miniforge.sh | |
bash ~/miniforge.sh -b -p ~/miniforge | |
rm ~/miniforge.sh | |
echo "PATH=$PATH:$HOME/miniforge/bin" >> .bashrc |
Chinese Brand "ITworks" , Model TW891, distributed in France and Belgium by Darty