# FWKV Project: Open-Weight Models and Datasets
Source: https://savrn.com/model-publishers/fwkv
Markdown alternate of the page above; the site index is https://savrn.com/llms.txt

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## Models

Model · Text generation

### [Myosotis-1-base](https://savrn.com/models/myosotis-1-base)

[FWKV Project](https://savrn.com/model-publishers/fwkv)

Myosotis-1-base is the first flagship release from us, introducing a 100-million parameter recurrent language model built on the FWKV architecture. Myosotis-1 is engineered to never truly forget—using a mathematically clamped exponential decay that guarantees an infinite effective context window while maintaining blazing-fast inference on consumer hardware. Instead of pairwise attention, Myosotis uses a fixed-size state vector updated via a gated linear recurrence: $$ St = S{t-1} \odot W + kt \odot vt $$ - \\( W = \text{clamp}(\sigma(w), 0.1) \\) is a learned, constant-per-channel decay. - By clamping the minimum decay to 0.1, the model guarantees that past information decays exponentially…

Open weights apache-2.0 102M parameters transformers

[View model](https://savrn.com/models/myosotis-1-base)

## Explore More

- [All model publishers](https://savrn.com/model-publishers)
- [The model directory](https://savrn.com/models)
- [The dataset directory](https://savrn.com/datasets)

## Source

- Listed from their public repositories, read 2026-09-25.
- [Hugging Face profile](https://huggingface.co/FWKV)
- [How the hub is built](https://savrn.com/model-hub/methodology)