* Add draft model param to llama class, implement basic prompt lookup decoding draft model
* Use samplingcontext for sampling
* Use 1d array
* Use draft model for sampling
* Fix dumb mistake
* Allow for later extensions to the LlamaDraftModel api
* Cleanup
* Adaptive candidate prediction
* Update implementation to match hf transformers
* Tuning
* Fix bug where last token was not used for ngram prediction
* Remove heuristic for num_pred_tokens (no benefit)
* fix: n_candidates bug.
* Add draft_model_num_pred_tokens server setting
* Cleanup
* Update README