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Project comparison
RWKV LM vs vllm
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.
Best matched with other inference tools.
14.6K
Stars
+126
Weekly
37/100
Health
vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
Best matched with other inference tools.
93.1K
Stars
+606
Weekly
86/100
Health
Quick Take
Adoption
vllm has the larger GitHub footprint with 93.1K stars.
Momentum
vllm is currently growing faster at +606 stars this week.
Maintenance
vllm has the stronger automated maintenance signal at 86/100. This is not a security or fit verdict.
Side-by-side evidence
Use these signals to narrow your choice, then confirm setup, license, and fit upstream.
| Signal | RWKV LM | vllm |
|---|---|---|
| Evidence status | Basic listing· 2026-10-04 09:17 UTC | Verified snapshot· 2026-10-04 09:19 UTC |
| GitHub stars | 14.6K | 93.1K |
| Weekly growth | +126 | +606 |
| Health score | Caution37/100 | Strong86/100 |
| Contributors | 5 | 2.6K |
| Commits per week | 2.3 | 208.8 |
| Open issues | 156 | 4.9K |
| Language | Python | Python |
| License | Apache-2.0 | Apache-2.0 |
| Last commit | 2026-07-23 08:56 UTC | 2026-10-04 06:11 UTC |
| Last release | 5.00 | v0.20.2 |
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