llama.cpp/examples/lookup
Pedro Cuenca b97bc3966e
llama : support Llama 3 HF conversion (#6745)
* Support Llama 3 conversion

The tokenizer is BPE.

* style

* Accept suggestion

Co-authored-by: Sourab Mangrulkar <13534540+pacman100@users.noreply.github.com>

* llama : add llama_token_is_eog()

ggml-ci

* llama : auto-detect more EOT tokens when missing in KV data

* convert : replacing EOS token is a hack

* llama : fix codegemma EOT token + add TODOs

* llama : fix model type string for 8B model

---------

Co-authored-by: Sourab Mangrulkar <13534540+pacman100@users.noreply.github.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-04-21 14:50:41 +03:00
..
CMakeLists.txt lookup: complement data from context with general text statistics (#5479) 2024-03-23 01:24:36 +01:00
lookup-create.cpp BERT tokenizer fixes (#6498) 2024-04-09 13:44:08 -04:00
lookup-merge.cpp lookup: complement data from context with general text statistics (#5479) 2024-03-23 01:24:36 +01:00
lookup-stats.cpp BERT tokenizer fixes (#6498) 2024-04-09 13:44:08 -04:00
lookup.cpp llama : support Llama 3 HF conversion (#6745) 2024-04-21 14:50:41 +03:00
README.md lookup : add prompt lookup decoding example (#4484) 2023-12-22 18:05:56 +02:00

llama.cpp/examples/lookup

Demonstration of Prompt Lookup Decoding

https://github.com/apoorvumang/prompt-lookup-decoding

The key parameters for lookup decoding are ngram_min, ngram_max and n_draft. The first two determine the size of the ngrams to search for in the prompt for a match. The latter specifies how many subsequent tokens to draft if a match is found.

More info:

https://github.com/ggerganov/llama.cpp/pull/4484 https://github.com/ggerganov/llama.cpp/issues/4226