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Documentation Fixes #456

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Update README.md
milanakondratova1 Aug 27, 2025
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Update README.md
milanakondratova1 Aug 27, 2025
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13 changes: 7 additions & 6 deletions README.md
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Expand Up @@ -5,11 +5,12 @@ RL Swarm is a peer-to-peer system for reinforcement learning. It allows you to t
Currently, we are running the [reasoning-gym](https://github.com/open-thought/reasoning-gym/tree/main) swarm on the Testnet. This swarm is designed to train models to solve a diverse set of reasoning tasks using the reasoning-gym dataset. The current list of default models includes:

Models:
- Gensyn/Qwen2.5-0.5B-Instruct
- Qwen/Qwen3-0.6B
- nvidia/AceInstruct-1.5B
- dnotitia/Smoothie-Qwen3-1.7B
- Gensyn/Qwen2.5-1.5B-Instruct

| Your RAM | Recommended Model | Download Size |
|----------|------------------|---------------|
| 4-8GB | Qwen2.5-0.5B | ~1GB |
| 8-16GB | Qwen2.5-1.5B | ~4GB |
| 16GB+ | Qwen2.5-7B+ | ~15GB+ |

This iteration of rl-swarm is powered by the [GenRL](https://github.com/gensyn-ai/genrl) library. It is a fully composable framework for decentralized reinforcement learning which enables users to create and customize their own swarms for reinforcement learning with multi-agent multi-stage environments.

Expand Down Expand Up @@ -82,7 +83,7 @@ If `docker-compose` does not work when running the above commands, please try `d

### Experimental (advanced) mode

If you want to experiment with the [GenRL](https://github.com/gensyn-ai/genrl) library or the[configurable parameters](https://github.com/gensyn-ai/rl-swarm/blob/main/rgym_exp/config/rg-swarm.yaml ), we recommend you run RL Swarm via shell script:
If you want to experiment with the [GenRL](https://github.com/gensyn-ai/genrl) library or the [configurable parameters](https://github.com/gensyn-ai/rl-swarm/blob/main/rgym_exp/config/rg-swarm.yaml ), we recommend you run RL Swarm via shell script:
```sh
python3 -m venv .venv
source .venv/bin/activate
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