mirror of
https://github.com/ggml-org/llama.cpp.git
synced 2026-05-14 04:54:06 +00:00
68e7ea3eab
* spec : refactor * spec : drop support for incompatible vocabs * spec : update common_speculative_init() * cont : pass seq_id * cont : dedup ctx_seq_rm_type * server : sketch the ctx_dft decode loop * server : draft prompt cache and checkpoints * server : improve ctx names * server, spec : transition to unified spec context * cont : sync main and drft contexts * cont : async drft eval when possible * cont : handle non-ckpt models * cont : pass correct n_past for drafting * cont : process images throught the draft context * spec : handle draft running out of context * server : fix mtmd draft processing * server : fix URL for draft model * server : add comment * server : clean-up + dry * speculative-simple : update * spec : fix n_past type * server : fix slot ctx_drft ptr * tools : update readme * naming : improve consistency * spec : refactor for multi-sequence speculative context * cont : prepare params * cont : prepare params * spec : support parallel drafts * server : support parallel drafting * llama : reuse device buffers when possible * server, spec : clean-up * cont : clean-up * cont : minor * spec : reset `drafting` flag at the end * spec : introduce `common_speculative_process()` * spec : allow for multiple spec types (chain of speculators) * replace old type field of type common_speculative_type in the common_params_speculative struct with a vector to allow multiple types to be specified * introduce common_get_enabled_speculative_impls(const std::vector<enum common_speculative_type>) to figure out which implementations the user has enabled * introduce common_speculative_type_from_names(const std::vector<std::string> & names) to parse the already user provided spec types * all speculators run sequentially, best one wins (we verify its drafted tokens) * maximize expected accepted tokens for current round by calculating the product between the probability of accepting current token (n_acc_tokens / n_gen_drafts) and the draft's length --------- Co-authored-by: Petros Sideris <petros.sideris@nokia.com>
llama.cpp/examples/speculative-simple
Demonstration of basic greedy speculative decoding
./bin/llama-speculative-simple \
-m ../models/qwen2.5-32b-coder-instruct/ggml-model-q8_0.gguf \
-md ../models/qwen2.5-1.5b-coder-instruct/ggml-model-q4_0.gguf \
-f test.txt -c 0 -ngl 99 --color on \
--sampling-seq k --top-k 1 -fa on --temp 0.0 \
-ngld 99 --spec-draft-n-max 16 --spec-draft-n-draft-min 5 --draft-p-min 0.9