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Facts
| Fact | BlinkDL/RWKV-LM RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding. | aa1143/NamiGPT 零基础入门大模型（LLM）的基础教程：从零手写 GPT-2，一行行看懂大模型是怎么工作的 | Build GPT-2 from scratch in PyTorch, step by step |
|---|---|---|
| Stars | 14,773 | 188 |
| Net stars, last 30 days | +41 | Not recorded |
| Largest star day | +8 on Jun 30, 2026 | +73 on Oct 28, 2026 |
| Milestone reached in the record | None | 100 on Oct 28, 2026 |
| Forks | 1,026 | 17 |
| Language | Python | Python |
| License | APACHE-2.0 | MIT |
| Created | Aug 8, 2021 | Oct 28, 2026 |
| Last push | Nov 4, 2026 | Oct 28, 2026 |
| Archived | No | No |
| Health facts: Maintenance | 4 of 4 checks | 3 of 4 checks |
| Health facts: Releases | 0 of 3 checks | 0 of 3 checks (1 without data) |
| Health facts: Security practice | 0 of 1 check | 0 of 1 check |
| Health facts: Community files | 1 of 3 checks | 1 of 3 checks |
| Commits, last 13 weeks | 12 | 16 |
| Weeks with commits, last 52 | 32 of 52 | 1 of 52 |
| In the Repository Index since | Oct 22, 2026 | Oct 29, 2026 |
Topics that all of them have on the Repository Host: deep-learning, gpt-2, pytorch, transformer. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined