RopeFreqBase
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RopeFreqBase is the base frequency (often denoted θ, theta) used in RoPE’s positional encoding. Overriding it changes how position indices map to rotation angles. Most users leave this at the model default.
Quick reference
| Type | float? |
| Default | null (use model metadata; equivalent to the value from the GGUF file) |
| Range | Typical 10000.0 – 10000000.0 |
| Category | Position encoding |
| Field on | ContextParameters.RopeFreqBase |
What it does
In RoPE, each attention head’s frequency vector is built from freq_base^(-k/d) for k across dimensions. The default freq_base = 10000.0 works for contexts in the tens of thousands of tokens. Very long contexts sometimes use much larger bases — for example, RopeFreqBase = 1_000_000 for 128K-trained models.
null(default) — use the model’s trained value from GGUF metadata.- A positive float — override. Use only when you know the correct value for your target context.
Built-in presets leave this as null — the metadata is usually correct.
When to change it
| Scenario | Value |
|---|---|
| Default (recommended) | null |
| Running a model in a non-standard context regime | Set per upstream model card |
| Extending a short-context model with hand-tuned RoPE | Non-trivial — refer to papers |
Changing RopeFreqBase without understanding the effect usually degrades quality. Prefer RopeScalingType approaches for context extension.
Example
var preset = new Qwen25Preset();
preset.ContextParameters.RopeFreqBase = 1_000_000f; // only if the model documents this
Interactions
RopeScalingType— overall scaling algorithm.RopeFreqScale— multiplicative scaler applied on top.
What’s next
- RopeScalingType — algorithm selector.
- RopeFreqScale — scale factor.
- Context parameters hub — all context knobs.