ollama vs reasoning-from-scratch
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| ollama | reasoning-from-scratch | |
|---|---|---|
| Tagline | Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. | Implement a reasoning LLM in PyTorch from scratch, step by step |
| Stars | 176k | 4.7k |
| Forks | 17k | 699 |
| Open issues | 3.4k | 2 |
| Language | Go | Jupyter Notebook |
| License | MIT | Apache-2.0 |
| Last pushed | Jul 7, 2026 | Jul 6, 2026 |
| Categories | AI Agents, LLM Frameworks | LLM Frameworks, Model Training |
ollama
Ollama is a platform for deploying and interacting with various large language models (LLMs) such as Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, and Gemma on macOS, Windows, Linux, and Docker environments.
Go
reasoning-from-scratch
Repository containing code and resources for building a large language model with reasoning capabilities using PyTorch. Aimed at educational purposes to understand how reasoning models operate.
Jupyter Notebook