FWKV (Feed-forward Weighted Key Value, or Floored Weighted Key Value) is a novel
efficient language model architecture proposed on May 13, 2026 by Me.
Design Philosophy
FWKV is built on two simple ideas:
FFNN
as the primary compute block — fast, parallelizable, hardware-friendly
floor(W·K·V)
as the sole context mechanism — a multiplicative recurrent state
with a learned decay W floored above zero, so the model can never fully forget
Sample
Inference speed (CUDA -- T4)
Training
Factorised tied weights, chunked CE, bf16 training.
Best val perplexity:
143.62
Runs of FlameF0X FWKV-50M on huggingface.co
30
Total runs
0
24-hour runs
2
3-day runs
2
7-day runs
-254
30-day runs
More Information About FWKV-50M huggingface.co Model
FWKV-50M huggingface.co is an AI model on huggingface.co that provides FWKV-50M's model effect (), which can be used instantly with this FlameF0X FWKV-50M model. huggingface.co supports a free trial of the FWKV-50M model, and also provides paid use of the FWKV-50M. Support call FWKV-50M model through api, including Node.js, Python, http.
FWKV-50M huggingface.co is an online trial and call api platform, which integrates FWKV-50M's modeling effects, including api services, and provides a free online trial of FWKV-50M, you can try FWKV-50M online for free by clicking the link below.
FlameF0X FWKV-50M online free url in huggingface.co:
FWKV-50M is an open source model from GitHub that offers a free installation service, and any user can find FWKV-50M on GitHub to install. At the same time, huggingface.co provides the effect of FWKV-50M install, users can directly use FWKV-50M installed effect in huggingface.co for debugging and trial. It also supports api for free installation.