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Project comparison
RWKV LM vs Ollama
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
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.
14.5K
Stars
0
Weekly
23/100
Health
Ollama
Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
171.2K
Stars
+450
Weekly
95/100
Health
Quick Take
Adoption
Ollama has the larger GitHub footprint with 171.2K stars.
Momentum
Ollama is currently growing faster at +450 stars this week.
Maintenance
Ollama has the stronger health score at 95/100.
Side-by-side Metrics
| Signal | RWKV LM | Ollama |
|---|---|---|
| GitHub stars | 14.5K | 171.2K |
| Weekly growth | 0 | +450 |
| Health score | 23 | 95 |
| Contributors | 5 | 600 |
| Commits per week | 2.6 | 24.5 |
| Open issues | 147 | 3.2K |
| Language | Python | Go |
| License | Apache-2.0 | MIT |
| Last commit | 4d ago | 15h ago |
| Last release | 5.00 | v0.23.2 |
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