Description
Return supplied token-bucket padding efficiency.
Language-model bookkeeping separates scores, probabilities, dimensions, capacity and positional transforms. A local ranking, padding or coordinate operation can illustrate a model component without running a model, sampling a token, fitting calibration or demonstrating output quality.
Return supplied token-bucket padding efficiency.
When to use this tool
Use Token Bucket Padding Efficiency Term when checking the stated model-dimension, ranking, probability-prefix or local transform convention.
How to use the tool and how it works
- Enter lengths, bucketLength. Use the units and conventions below.
- Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
- Read actualTokens, allocatedTokens, efficiency, waste. Use the output convention below.
Return supplied token-bucket padding efficiency. Require whole bucketLength >= 1 and a nonempty length array within [0,bucketLength]; actualTokens sums lengths, allocated = rowCount*bucketLength, efficiency = actual/allocated, waste subtracts actual.1
| Input field | Meaning and units | Accepted input |
|---|---|---|
| lengths | Nonnegative whole supplied lengths no greater than bucketLength. | Required. Array of safe integer; maximum items 256. |
| bucketLength | Bucket Length | Required. Safe integer; minimum 1. |
| Output field | Interpretation | Returned shape |
|---|---|---|
| actualTokens | Actual Tokens | Required. Safe integer. |
| allocatedTokens | Allocated Tokens | Required. Safe integer. |
| efficiency | Efficiency | Required. Finite number. |
| waste | Waste | Required. Safe integer. |
{
"input": {
"lengths": [
3,
5
],
"bucketLength": 8
},
"output": {
"actualTokens": 8,
"allocatedTokens": 16,
"efficiency": 0.5,
"waste": 8
}
}Limitations and assumptions
- Length entries must be nonnegative whole counts; no tokenizer, batch packing, actual memory or execution speed is measured.
- Inputs must satisfy both the field types and the cross-field conditions above. Invalid input causes an error; a successful false flag or documented placeholder is a different result.
- Numeric calculations use binary floating point unless exact decimal-integer arithmetic is explicitly stated. No hidden measurement tolerance or decimal rounding is added; nonfinite or out-of-contract results are rejected. Numeric signed-zero results are exported as zero.
Alternative or Complementary methods
Use a complete implementation with verified tensor/token conventions and appropriate model evaluation when actual inference, memory, sampling or quality results are required.
References
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