GraphCanon updated 2w · GitHub synced 2w
Decision brief
TinyZero is a scaled-down version of the R1-Zero architecture from DeepSeek, focusing on minimal setup with essential components.
Good fit when
- When you need a streamlined implementation of the R1-Zero architecture without unnecessary complexity.
- For projects that require leveraging vLLM and Ray for efficient processing but prefer a lightweight framework setup.
Avoid when
- If your project demands extensive customization options not available in this minimal version.
- When working with environments where specific versions of PyTorch older than 2.4.0 are required, as TinyZero mandates the use of PyTorch 2.4.0 or allows vLLM to manage its installation.
- Pricing:
- freemium - The framework itself is free and can be used without charge;
- Requirements:
- Min 4 GB RAM; Specific Python environment setup (Python 3.9) and dependency installation steps are outlined in the README.
Observed Jul 11, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Slowing (160d since push)
- As of 2w
- Provenance
- Not a fork · Personal account
- As of 2w
- Security (OSV)
- No criticals
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install TinyZeroHow it fits your stack(1)
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A minimal version of the R1-Zero architecture from DeepSeek, setup instructions provided in README for environment creation and dependencies installation including vLLM and Ray.
Capability facts
- Languages
- python
Source: github.language+pyproject.toml · Aug 6, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 6, 2026)
conda create -n zero python=3.9Source link
Tags
README
Installation
conda create -n zero python=3.9
---
# install torch [or you can skip this step and let vllm install the correct version for you]
pip install torch==2.4.0 --index-url https://download.pytorch.org/whl/cu121
---
# install vllm
pip3 install vllm==0.6.3 # or you can install 0.5.4, 0.4.2 and 0.3.1
pip3 install ray
For agents
This page has a .md twin and JSON over the API.