MirostatEta

MirostatEta is the learning rate of Mirostat’s adaptive loop. It controls how quickly Mirostat reacts to divergence between observed entropy and the target entropy MirostatTau.

Quick reference

Type	float
Default	0.1
Range	> 0; typical 0.05 – 0.3
Category	Adaptive sampler
Field on	SamplerParameters.MirostatEta

What it does

After each token, Mirostat computes the difference between the observed entropy and MirostatTau. It scales that difference by MirostatEta and adjusts its internal threshold accordingly.

• MirostatEta = 0.05 — slow adaptation. Smoother behavior; takes longer to settle.
• MirostatEta = 0.1 (default) — balanced.
• MirostatEta = 0.3 — fast adaptation. Tighter tracking of Tau but noisier.

MirostatEta only matters when Mirostat is enabled.

When to change it

Scenario	Value
Default	0.1
Smoother, slower adaptation	0.05
Fast tracking, aggressive correction	0.2 – 0.3

Most users leave MirostatEta = 0.1. Adjust only when Mirostat’s entropy wanders too far from Tau or oscillates too much.

Example

var preset = new Qwen25Preset();
preset.SamplerParameters.Mirostat = 2;
preset.SamplerParameters.MirostatTau = 5.0f;
preset.SamplerParameters.MirostatEta = 0.05f;  // slow, smooth adaptation

using var api = AsposeLLMApi.Create(preset);

Interactions

• Mirostat — must be 1 or 2.
• MirostatTau — the target MirostatEta adapts toward.

What’s next

• Mirostat — mode selector.
• MirostatTau — entropy target.
• Sampler parameters hub — all sampler knobs.