Georgi Gerganov
fcca0a7004
refact : fix convert script + zero out KV cache to avoid nans ( #3523 )
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* refact : fix convert script + zero out KV cache to avoid nans
* ggml : silu(-inf) should never happen
* metal : assert various kernel requirements
2023-10-09 14:32:17 +03:00
pudepiedj
a8777ad84e
parallel : add option to load external prompt file ( #3416 )
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* Enable external file and add datestamp
* Add name of external file at end
* Upload ToK2024
* Delete ToK2024.txt
* Experiments with jeopardy
* Move ParallelQuestions to /proimpts and rename
* Interim commit
* Interim commit
* Final revision
* Remove trailing whitespace
* remove cmake_all.sh
* Remove cmake_all.sh
* Changed .gitignore
* Improved reporting and new question files.
* Corrected typo
* More LLM questions
* Update LLM-questions.txt
* Yet more LLM-questions
* Remove jeopardy results file
* Reinstate original jeopardy.sh
* Update examples/parallel/parallel.cpp
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-10-06 16:16:38 +03:00
Georgi Gerganov
ac2219fef3
llama : fix session saving/loading ( #3400 )
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* llama : fix session saving/loading
* llama : temp fix for clearing "future" tokens from the KV cache
* llama : fix handling of "future" tokens when loading sessions
* llama : fix comments for llama_kv_cache API
2023-10-03 21:04:01 +03:00
slaren
16bc66d947
llama.cpp : split llama_context_params into model and context params ( #3301 )
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* llama.cpp : split llama_context_params into model and context params
ggml-ci
* fix metal build
* fix freq_base/scale default to model value
* llama-bench : keep the same model between tests when possible
* move n_threads to llama_context_params, add n_threads_batch
* fix mpi build
* remove kv_size(), cuda scratch fixes
* remove low-vram option
* add n_threads_batch to system info, refactor to get_system_info()
* add documentation about --threads-batch to the READMEs
* llama-bench fix
* main : fix rope freq/scale warning
* llama.cpp : add llama_get_model
common : add llama_tokenize from model
* remove duplicated ctx/model functions
ggml-ci
* cuda : print total VRAM used
2023-09-28 22:42:38 +03:00
Georgi Gerganov
ec893798b7
llama : custom attention mask + parallel decoding + no context swaps ( #3228 )
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* tests : verify that RoPE is "additive"
* llama : replace ggml_diag_mask_inf with ggml_add (custom -inf mask)
* ggml : ggml_rope now takes a vector with positions instead of n_past
* metal : add rope_f16 kernel + optimize cpy kernels
* llama : unified KV cache + batch inference API
* llama : add new llama_decode() API that works with llama_batch
* llama : add cell_max heuristic for more efficient kv_cache
* llama : extend llama_kv_cache API
* llama : more robust cell_max heuristic + wip shift
* metal : disable concurrency optimization
* llama : add llama_kv_cache_shift_seq + no more context swaps
* llama : apply K-cache roping for Falcon and Baichuan
* speculative : fix KV cache management
* parallel : example for serving multiple users in parallel
* parallel : disable hot-plug to avoid cache fragmentation
* fixes : speculative KV cache + llama worst-case graph
* llama : extend batch API to select which logits to output
* llama : fix worst case graph build
* ggml-cuda : update rope implementation for parallel decoding (#3254 )
* ggml-cuda : update rope implementation for parallel decoding
* better solution for p0 computation
* fix rope
* simpler rope implementation
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* make : add parallel to build + fix static functions in llama.cpp
* simple : fix token counting
* parallel : various improvements
* llama : fix cell_max logic + rename functions
* parallel : try smaller batches when the KV cache is fragmented
* parallel : fix sequence termination criteria
* llama : silence errors KV cache errors
* parallel : remove new line from prompt
* parallel : process system prompt once + configurable paramters + llama API
* parallel : remove question with short answers
* parallel : count cache misses
* parallel : print misses on each request
* parallel : minor
* llama : fix n_kv to never become 0
* parallel : rename hot-plug to continuous-batching
* llama : improve llama_batch API + simplify parallel example
* simple : add parallel decoding support
* simple : improve comments + free batch
* ggml-cuda : add rope f16, restore performance with parallel decoding (#3272 )
* ggml-cuda : add rope f16, restore performance
* offload KQ_mask with all models
* fix rope shift
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* llama : disable MPI for now
ggml-ci
* train : make KQ_pos memory buffer permanent via dummy scale op
* ggml : revert change to ggml_cpy, add ggml_cont_Nd instead (#3275 )
ggml-ci
* parallel : fix bug (extra BOS) + smaller token_prev array
* parallel : fix cases where the input prompts can overflow the batch
* parallel : add disabled experimental batch chunking in powers of two
* llama : llama.h formatting + comments
* simple : add README.md
* llama : fix kv cache heuristic when context is less than 32
* parallel : fix crash when `-n -1`
* llama : simplify returns if/else branches
* metal : use mm kernels for batch size > 2
* examples : utilize new llama_get_logits_ith()
* examples : add example for batched decoding
* examples : do not eval prompt 2 times (close #3348 )
* server : clear the KV cache beyond n_past before llama_decode
* server : avoid context swaps by shifting the KV cache
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Co-authored-by: slaren <slarengh@gmail.com>
2023-09-28 19:04:36 +03:00
