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llama.cpp b9501 refactors state saving tests for token input

By PulseAugur Editorial · [1 sources] ·

The llama.cpp project has released version b9501, which includes refactoring for its test-save-load-state functionality. This update allows the test to accept token input, defaulting to generating random tokens if no prompt is provided, which is beneficial for models lacking a tokenizer. The changes also involve upfront tokenization and the use of new API functions for vocabulary access. AI

IMPACT Improves the testing framework for a popular inference engine, potentially leading to more stable and efficient model execution.

RANK_REASON This is a software release for an open-source project focused on inference, which falls under research/development. [lever_c_demoted from research: ic=1 ai=0.7]

Read on llama.cpp — Releases →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

llama.cpp b9501 refactors state saving tests for token input

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This is a software release for an open-source project focused on inference, which falls under research/development. [lever_c_demoted from research: ic=1 ai=0.7]
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  1. llama.cpp — Releases TIER_1 English(EN) · ggerganov ·

    b9501: tests : refactor test-save-load-state to accept token input (#24073)

    <ul> <li>tests : refactor test-save-load-state to accept token input</li> </ul> <ul> <li>Default prompt is now empty; when not provided, generate n_batch<br /> random tokens (useful for models without a tokenizer)</li> <li>Tokenization happens once upfront; pass token vector to t…

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