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Author SHA1 Message Date
Georgi Gerganov d28e572c02 cmake : fix add_compile_options on macOS 2023-10-12 14:31:05 +03:00
Georgi GerganovandGitHub 1a8c8795d6 ci : check if there is enough VRAM (#3596) 
ggml-ci
 2023-10-12 13:44:56 +03:00
Georgi Gerganov 6b3ae4da92 prompts : add mnemonics.txt 2023-10-12 09:35:30 +03:00
Georgi GerganovandGitHub 57dd55e2c7 server : fix kv cache management (#3588) 2023-10-12 09:29:04 +03:00
Georgi Gerganov b8fe4b5cc9 main : fix session loading bug (#3400) 2023-10-11 23:55:41 +03:00
Georgi GerganovandGitHub 8c70a5ff25 batched : add bench tool (#3545) 
* batched : add bench tool

* batched : minor fix table

* batched-bench : add readme + n_kv_max is now configurable

* batched-bench : init warm-up batch

* batched-bench : pass custom set of PP, TG and PL

* batched-bench : add mmq CLI arg
 2023-10-11 21:25:33 +03:00
Georgi GerganovandGitHub fcca0a7004 refact : fix convert script + zero out KV cache to avoid nans (#3523) 
* 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
Georgi GerganovandGitHub dcc09d2596 metal : do not use mul_mm kernels when ne00 < 64 (#3542) 2023-10-09 14:28:27 +03:00
Georgi GerganovandGitHub db3abcc114 sync : ggml (ggml-backend) (#3548) 
* sync : ggml (ggml-backend)

ggml-ci

* zig : add ggml-backend to the build
 2023-10-08 20:19:14 +03:00
Georgi GerganovandGitHub 94e502dfb7 ci : enable on obj-c changes + fix metal build (#3540) 2023-10-08 11:24:50 +03:00
Georgi GerganovandGitHub b0ec5218c3 metal : support MTLGPUFamily < Apple7, formatting, style (#3524) 
* metal : improve decoding speed for batches of 2-16

* metal : rename kernels mul_mat_ to mul_mv_

* metal : indentations

* minor

* metal : print more GPU info + disable mul_mm for MTLGPUFamiliy < Apple7
 2023-10-08 10:01:53 +03:00
Georgi Gerganov 0c731ca403 prompts : fix editorconfig checks after #3416 2023-10-06 16:36:32 +03:00
Georgi GerganovandGitHub beabc8cfb0 readme : add project status link 2023-10-04 16:50:44 +03:00
Georgi Gerganov 0d152b37fe ggml : fix build after #3329 2023-10-04 16:25:41 +03:00
Georgi GerganovandGitHub f93af02488 sync : ggml (conv 1d + 2d updates, UB fixes) (#3468) 
* sync : ggml (conv 1d + 2d updates)

ggml-ci

* ggml : fix UB in q5_0 and q5_1 quantize code

ggml.c:1033:39: runtime error: left shift of 1 by 31 places cannot be represented in type 'int'
SUMMARY: UndefinedBehaviorSanitizer: undefined-behavior

ggml.c:1081:39: runtime error: left shift of 1 by 31 places cannot be represented in type 'int'
SUMMARY: UndefinedBehaviorSanitizer: undefined-behavior

ggml-ci

* tests : fix UB in test-quantize-perf
 2023-10-04 15:29:58 +03:00
Georgi GerganovandGitHub ac2219fef3 llama : fix session saving/loading (#3400) 
* 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
Georgi GerganovGitHubxaedes
 		bc34dd4f5b train : fix KQ_pos allocation (#3392) 
* train : fix KQ_pos allocation

* make sure KQ_pos is not reallocated in finetune

---------

Co-authored-by: xaedes <xaedes@gmail.com>
 2023-09-29 19:05:18 +03:00
Georgi GerganovandGitHub 2619109ad5 ci : disable freeBSD builds due to lack of VMs (#3381) 2023-09-28 19:36:36 +03:00
Georgi GerganovGitHubslaren
 		ec893798b7 llama : custom attention mask + parallel decoding + no context swaps (#3228) 
* 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

---------

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

---------

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

---------

Co-authored-by: slaren <slarengh@gmail.com>
 2023-09-28 19:04:36 +03:00
Georgi GerganovandGitHub 7eb41179ed readme : update hot topics 2023-09-20 20:48:22 +03:00
Georgi GerganovandGitHub d119c04c15 examples : fix benchmark-matmult (#1554) 
The precision for Q4_0 has degraded since #1508
 2023-09-20 10:02:39 +03:00
Georgi GerganovandGitHub c6f1491da0 metal : fix bug in soft_max kernels (out-of-bounds access) (#3194) 2023-09-15 20:17:24 +03:00
Georgi GerganovandGitHub 8c00b7a6ff sync : ggml (Metal F32 support + reduce ggml-alloc size) (#3192) 
* sync : ggml (Metal F32 support + reduce ggml-alloc size)

ggml-ci

* llama-bench : fix ggml_cpu_has_metal() duplicate function

ggml-ci
 2023-09-15 19:06:03 +03:00
Georgi GerganovandGitHub a51b687657 metal : relax conditions on fast matrix multiplication kernel (#3168) 
* metal : relax conditions on fast matrix multiplication kernel

* metal : revert the concurrnecy change because it was wrong

* llama : remove experimental stuff
 2023-09-15 11:09:24 +03:00
Georgi GerganovandGitHub 94f10b91ed readme : update hot tpoics 2023-09-08 18:18:04 +03:00
Georgi GerganovandGitHub b3e9852e47 sync : ggml (CUDA GLM RoPE + POSIX) (#3082) 
ggml-ci
 2023-09-08 17:58:07 +03:00
Georgi GerganovandGitHub c4f496648c metal : fix kernel_norm (fixes Falcon on Metal) (#3057) 
* metal : fix kernel_norm

ggml-ci

* metal : put warning in kernel_norm to not combine the loops

* metal : restore original F16 mat-vec multiplication

It works after the norm fixes

* common : don't do warm-up with more than n_batch tokens (close #3058)

ggml-ci

* metal : minor
 2023-09-07 15:49:09 +03:00
Georgi Gerganov 178b1850eb k-quants : fix zero-weight guard in Q6_K (ref #3040) 2023-09-06 12:40:57 +03:00
Georgi Gerganov 35938ee3b0 llama : update logic for number of threads when using BLAS 2023-09-05 10:46:39 +03:00
Georgi GerganovandGitHub 921772104b speculative : add grammar support (#2991) 
* speculative : add grammar support

* grammars : add json_arr.gbnf

* grammar : add comments to new grammar file

* grammar : remove one nested level

* common : warm-up with 2 tokens - seems to work better

* speculative : print draft token pieces

* speculative : reuse grammar parser + better logs and comments

* speculative : avoid grammar_mem

* make : fix speculative build
 2023-09-05 08:46:17 +03:00
Georgi Gerganov 2ba85c8609 py : minor 2023-09-04 22:50:50 +03:00
Georgi GerganovandGitHub e36ecdccc8 build : on Mac OS enable Metal by default (#2901) 
* build : on Mac OS enable Metal by default

* make : try to fix build on Linux

* make : move targets back to the top

* make : fix target clean

* llama : enable GPU inference by default with Metal

* llama : fix vocab_only logic when GPU is enabled

* common : better `n_gpu_layers` assignment

* readme : update Metal instructions

* make : fix merge conflict remnants

* gitignore : metal
 2023-09-04 22:26:24 +03:00
Georgi GerganovandGitHub 47068e5170 speculative : PoC for speeding-up inference via speculative sampling (#2926) 
* speculative : initial example

* speculative : print encoding speed

* speculative : add --draft CLI arg
 2023-09-03 15:12:08 +03:00
Georgi Gerganov 8f429fa511 perplexity : fix ETA by warming up the model with an empty run 2023-09-03 13:43:17 +03:00
Georgi GerganovandGitHub b7f2aa9e51 metal : restore 363f0bf and fix reduce in F16_F32 kernels (#2986) 2023-09-03 13:23:33 +03:00
Georgi Gerganov d9151e6f57 metal : revert 6af0bab until we fix it 
This restores the generated text to be the same as before #2959
 2023-09-03 12:40:56 +03:00
Georgi Gerganov 0d58936686 llama2c : rename function 2023-09-01 17:01:11 +03:00
Georgi GerganovandGitHub 13268c5331 metal : slight speed-up for add and mul kernels (#2917) 2023-09-01 13:42:41 +03:00
Georgi Gerganov b532a69b2f convert.py : use dir name to name the llama 2023-08-30 13:29:40 +03:00
Georgi Gerganov c90d135eb4 examples : fix underscore in beam-search + .gitignore (close #2900) 2023-08-30 12:53:24 +03:00
Georgi Gerganov 3a007648f2 metal : add option to disable debug logs (close #2764) 2023-08-29 11:33:46 +03:00
Georgi Gerganov 611363ac79 scripts : add pipefail 2023-08-29 10:50:30 +03:00
Georgi GerganovandGitHub 35feac6560 ggml : sync (mem align to header + conv_transpose_2d fixes + ggml_alloc) (#2852) 
* ggml : sync (mem align to header + conv_transpose_2d fixes)

ggml-ci

* ggml-alloc : minor fix

* ggml-alloc : sync more fixes
 2023-08-28 14:24:53 +03:00
Georgi GerganovandGitHub f55538c3cc metal : fix memory leak (#2762) 
* metal : fix memory leak

* metal : fix encoders memory leak

* metal : clean up more memory resources

* metal : fix more leaks

* metal : reuse dispatch queue + autoreleasepool

* metal : reuse array for command buffers and encoders

* ggml : assert for odd number of blocks on ARM

15M tinyllama is an example
 2023-08-28 10:59:08 +03:00
Georgi GerganovandGitHub 103cfafc77 gguf : fix strings to not be null-terminated (#2839) 
* gguf : fix strings to not be null-terminated

ggml-ci

* gguf : fix gguf_add_tensor name
 2023-08-27 21:50:22 +03:00
Georgi Gerganov c10704d01e llama : fix MPI threads (close #2827) 2023-08-27 18:55:41 +03:00
Georgi GerganovandGitHub eaa13a48ff falcon : fix CUDA inference by making K and Q contiguous (#2830) 
* falcon : fix CUDA inference by making K and Q contiguous

ggml-ci

* cuda : add assert to guard from non-cont ropes
 2023-08-27 16:40:48 +03:00
Georgi GerganovandGitHub da7455d046 readme : fix headings 2023-08-27 15:52:34 +03:00
Georgi Gerganov 25423e9185 scripts : helper convert script 2023-08-27 15:24:58 +03:00
Georgi GerganovandGitHub c48c5bb0b0 readme : update hot topics 2023-08-27 14:44:35 +03:00
Georgi GerganovGitHubklosax
 		d0cee0d36d gguf : add 64-bit support (GGUF v2) (#2821) 
* gguf : bump version to 2

* gguf : add support for 64-bit (no backwards comp yet)

* gguf : v1 backwards comp

* gguf.py : bump GGUF version

* gguf.py : uint64_t on all lengths, sizes and counts, enums still uint32_t

* gguf.py : string lengths uint32_t

* gguf : update all counts to 64-bit

* gguf.py : string len uint64_t and n_dims uint32_t

* gguf : fix typo

* llama.cpp : print gguf version

---------

Co-authored-by: klosax <131523366+klosax@users.noreply.github.com>
 2023-08-27 14:19:54 +03:00
Georgi GerganovGitHubklosax
 		edd4c14817 llama : more tokenizer fixes (#2810) 
* tests : write a Python tokenizer test (wip)

* llama : prefix input text for tokenization with whitespace

* llama : distinguish pieces from decoded text + fix detokenization

* common : add comments

* examples : no longer manually add leading space when tokenizing

* tests : use Python to generate tokenizer tests for C++

* tests : add option to tokenize text files

ggml-ci

* tests : add test-tokenizer-1.py

* llama.cpp : fix LF token

* hellaswag : move the concat space for clarity

* tests : add falcon tests (py + cpp, currently do not pass Unicode)

ggml-ci

* common : temporary separate llama_detokenize calls for SPM and BPE

---------

Co-authored-by: klosax <131523366+klosax@users.noreply.github.com>
 2023-08-27 14:19:19 +03:00
Georgi GerganovandGitHub 04f4b1eb10 k-quants : remove unnecessary tensor shape restrictions (#2811) 2023-08-26 17:37:35 +03:00
Georgi GerganovandGitHub 5439a0ab57 ci : pip install gguf in editable mode (#2782) 
ggml-ci
 2023-08-25 13:03:25 +03:00
Georgi GerganovandGitHub 3f460a2b72 cuda : add RoPE kernel for mode == 2 (NeoX) (#2760) 
* cuda : add RoPE kernel for mode == 2 (NeoX)

* falcon : do not offload the embeddings layer
 2023-08-25 11:55:59 +03:00
Georgi Gerganov 01f2224682 falcon : write file type 2023-08-24 19:58:30 +03:00
Georgi Gerganov 8f8c28e89c convert : auto-determine model name based on dir + scripts update 2023-08-24 19:26:47 +03:00
Georgi GerganovandGitHub d67777c202 metal : add Q8_0 support (#2763) 
* metal : add dequantize_q8_0 kernel

* metal : add mul_mat_q8_0_f32 kernel

* metal : add Q8_0 mul_mm kernel
 2023-08-24 16:19:57 +03:00
Georgi GerganovandGitHub c3e53b421a llama : escape all U+2581 in a string (#2750) 2023-08-24 12:26:01 +03:00
Georgi Gerganov 44d5462b5c readme : fix link 2023-08-23 23:44:19 +03:00
Georgi Gerganov c7868b0753 minor : fix trailing whitespace 2023-08-23 23:43:00 +03:00
Georgi GerganovandGitHub 79da24b58c readme : update hot topics 2023-08-23 23:41:16 +03:00
Georgi GerganovGitHubklosaxslaren
 		cf658adc83 llm : add Falcon support (#2717) 
* llama : refactor GGUF constants into static maps

* llama : check if model architecture is known

* llama : refactor llama_model_load_internal()

* gguf : add KV constant maps

* llm : read arch-specific KVs

* convert : add dummy scores + types

* falcon : load tensor data (CPU only)

* llama : fix loading progress bar

* llama : add arch member to llama_model

* falcon : CPU inference working

* falcon : support non-40B models

* falcon : minor

* llama : minor updates

ggml-ci

* convert-falcon-hf-to-gguf.py : fix special token mapping

* llama.cpp : llama default UNK token = id 0

* llama.cpp : fix bpe tokenizer

* llama.cpp : fix the fix of bpe tokenizer

* ggml : pass eps to ggml_norm

* metal : implement RoPE (mode = 2) + avoid ggml_repeat

* ggml : ggml_repeat always creates new tensor

* falcon : copy-paste self-attention from LLaMA

* metal : print extra compute pipeline info

* falcon : minor changes (still chasing the Metal problem)

* llama.cpp : fix linefeed token

* metal : fix GELU kernel numerical stability by using precise::tanh

* metal : temporary workaround for the concurrency optimization bug

* falcon : add CUDA offloading (#2739)

* llama : better model naming and size reporting

* llama : prep new tokenizer support

* llama : advanced BPE tokenizer based on ggllm.cpp imlpementation

* llama : remove oboslete comment

ggml-ci

* common : remove obsolete BPE API + disable test-tokenizer-1

* llama : revert BPE special-case in llama_byte_to_token()

* cuda : add TODOs for RoPE NeoX implementation

* llama : default special tokens based on vocab type

* perplexity : add log for start of tokenization

---------

Co-authored-by: klosax <131523366+klosax@users.noreply.github.com>
Co-authored-by: slaren <slarengh@gmail.com>
 2023-08-23 23:08:04 +03:00
Georgi Gerganov a192860cfe minor : fix trailing whitespace 2023-08-23 22:37:39 +03:00
Georgi GerganovandGitHub deb7dfca4b gguf : add ftype meta info to the model (#2710) 
* llama : add ftype meta info to the model

ggml-ci

* convert.py : add ftype when converting (does not work)

* convert.py : fix Enum to IntEnum

ggml-ci
 2023-08-22 20:05:59 +03:00
Georgi GerganovandGitHub ef3f333d37 ggml : sync latest (SAM + SD operators, CUDA alibi) (#2709) 
* ggml : sync latest (SAM + SD operators, CUDA alibi)

ggml-ci

* ggml : fix tabs
 2023-08-22 14:22:08 +03:00
Georgi Gerganov c8dba409e6 py : remove obsolete script 2023-08-21 23:40:22 +03:00
Georgi GerganovGitHubM. Yusuf SarıgözklosaxgoerchslarenKerfuffle
 		6381d4e110 gguf : new file format with flexible meta data (beta) (#2398) 
* gguf : first API pass

* gguf : read header + meta data

* gguf : read tensor info

* gguf : initial model loading - not tested

* gguf : add gguf_get_tensor_name()

* gguf : do not support passing existing ggml_context to gguf_init

* gguf : simplify gguf_get_val

* gguf : gguf.c is now part of ggml.c

* gguf : read / write sample models

* gguf : add comments

* refactor : reduce code duplication and better API (#2415)

* gguf : expose the gguf_type enum through the API for now

* gguf : add array support

* gguf.py : some code style changes

* convert.py : start a new simplified implementation by removing old stuff

* convert.py : remove GGML vocab + other obsolete stuff

* GGUF : write tensor (#2426)

* WIP: Write tensor

* GGUF : Support writing tensors in Python

* refactor : rm unused import and upd todos

* fix : fix errors upd writing example

* rm example.gguf

* gitignore *.gguf

* undo formatting

* gguf : add gguf_find_key (#2438)

* gguf.cpp : find key example

* ggml.h : add gguf_find_key

* ggml.c : add gguf_find_key

* gguf : fix writing tensors

* gguf : do not hardcode tensor names to read

* gguf : write sample tensors to read

* gguf : add tokenization constants

* quick and dirty conversion example

* gguf : fix writing gguf arrays

* gguf : write tensors one by one and code reuse

* gguf : fix writing gguf arrays

* gguf : write tensors one by one

* gguf : write tensors one by one

* gguf : write tokenizer data

* gguf : upd gguf conversion script

* Update convert-llama-h5-to-gguf.py

* gguf : handle already encoded string

* ggml.h : get array str and f32

* ggml.c : get arr str and f32

* gguf.py : support any type

* Update convert-llama-h5-to-gguf.py

* gguf : fix set is not subscriptable

* gguf : update convert-llama-h5-to-gguf.py

* constants.py : add layer norm eps

* gguf.py : add layer norm eps and merges

* ggml.h : increase GGML_MAX_NAME to 64

* ggml.c : add gguf_get_arr_n

* Update convert-llama-h5-to-gguf.py

* add gptneox gguf example

* Makefile : add gptneox gguf example

* Update convert-llama-h5-to-gguf.py

* add gptneox gguf example

* Update convert-llama-h5-to-gguf.py

* Update convert-gptneox-h5-to-gguf.py

* Update convert-gptneox-h5-to-gguf.py

* Update convert-llama-h5-to-gguf.py

* gguf : support custom alignment value

* gguf : fix typo in function call

* gguf : mmap tensor data example

* fix : update convert-llama-h5-to-gguf.py

* Update convert-llama-h5-to-gguf.py

* convert-gptneox-h5-to-gguf.py : Special tokens

* gptneox-main.cpp : special tokens

* Update gptneox-main.cpp

* constants.py : special tokens

* gguf.py : accumulate kv and tensor info data + special tokens

* convert-gptneox-h5-to-gguf.py : accumulate kv and ti + special tokens

* gguf : gguf counterpart of llama-util.h

* gguf-util.h : update note

* convert-llama-h5-to-gguf.py : accumulate kv / ti + special tokens

* convert-llama-h5-to-gguf.py : special tokens

* Delete gptneox-common.cpp

* Delete gptneox-common.h

* convert-gptneox-h5-to-gguf.py : gpt2bpe tokenizer

* gptneox-main.cpp : gpt2 bpe tokenizer

* gpt2 bpe tokenizer (handles merges and unicode)

* Makefile : remove gptneox-common

* gguf.py : bytesarray for gpt2bpe tokenizer

* cmpnct_gpt2bpe.hpp : comments

* gguf.py : use custom alignment if present

* gguf : minor stuff

* Update gptneox-main.cpp

* map tensor names

* convert-gptneox-h5-to-gguf.py : map tensor names

* convert-llama-h5-to-gguf.py : map tensor names

* gptneox-main.cpp : map tensor names

* gguf : start implementing libllama in GGUF (WIP)

* gguf : start implementing libllama in GGUF (WIP)

* rm binary commited by mistake

* upd .gitignore

* gguf : calculate n_mult

* gguf :  inference with 7B model working (WIP)

* gguf : rm deprecated function

* gguf : start implementing gguf_file_saver (WIP)

* gguf : start implementing gguf_file_saver (WIP)

* gguf : start implementing gguf_file_saver (WIP)

* gguf : add gguf_get_kv_type

* gguf : add gguf_get_kv_type

* gguf : write metadata in gguf_file_saver (WIP)

* gguf : write metadata in gguf_file_saver (WIP)

* gguf : write metadata in gguf_file_saver

* gguf : rm references to old file formats

* gguf : shorter name for member variable

* gguf : rm redundant method

* gguf : get rid of n_mult, read n_ff from file

* Update gguf_tensor_map.py

* Update gptneox-main.cpp

* gguf : rm references to old file magics

* gguf : start implementing quantization (WIP)

* gguf : start implementing quantization (WIP)

* gguf : start implementing quantization (WIP)

* gguf : start implementing quantization (WIP)

* gguf : start implementing quantization (WIP)

* gguf : start implementing quantization (WIP)

* gguf : quantization is working

* gguf : roper closing of file

* gguf.py : no need to convert tensors twice

* convert-gptneox-h5-to-gguf.py : no need to convert tensors twice

* convert-llama-h5-to-gguf.py : no need to convert tensors twice

* convert-gptneox-h5-to-gguf.py : simplify nbytes

* convert-llama-h5-to-gguf.py : simplify nbytes

* gptneox-main.cpp : n_layer --> n_block

* constants.py : n_layer --> n_block

* gguf.py : n_layer --> n_block

* convert-gptneox-h5-to-gguf.py : n_layer --> n_block

* convert-llama-h5-to-gguf.py : n_layer --> n_block

* gptneox-main.cpp : n_layer --> n_block

* Update gguf_tensor_map.py

* convert-gptneox-h5-to-gguf.py : load model in parts to save memory

* convert-llama-h5-to-gguf.py : load model in parts to save memory

* convert : write more metadata for LLaMA

* convert : rm quantization version

* convert-gptneox-h5-to-gguf.py : add file_type key

* gptneox-main.cpp : add file_type key

* fix conflicts

* gguf : add todos and comments

* convert-gptneox-h5-to-gguf.py : tensor name map changes

* Create gguf_namemap.py : tensor name map changes

* Delete gguf_tensor_map.py

* gptneox-main.cpp : tensor name map changes

* convert-llama-h5-to-gguf.py : fixes

* gguf.py : dont add empty strings

* simple : minor style changes

* gguf : use UNIX line ending

* Create convert-llama-7b-pth-to-gguf.py

* llama : sync gguf-llama.cpp with latest llama.cpp (#2608)

* llama : sync gguf-llama.cpp with latest llama.cpp

* minor : indentation + assert

* llama : refactor gguf_buffer and gguf_ctx_buffer

* llama : minor

* gitignore : add gptneox-main

* llama : tokenizer fixes (#2549)

* Merge tokenizer fixes into the gguf branch.

* Add test vocabularies

* convert : update convert-new.py with tokenizer fixes (#2614)

* Merge tokenizer fixes into the gguf branch.

* Add test vocabularies

* Adapt convert-new.py (and fix a clang-cl compiler error on windows)

* llama : sync gguf-llama with llama (#2613)

* llama : sync gguf-llama with llama

* tests : fix build + warnings (test-tokenizer-1 still fails)

* tests : fix wstring_convert

* convert : fix layer names

* llama : sync gguf-llama.cpp

* convert : update HF converter to new tokenizer voodoo magics

* llama : update tokenizer style

* convert-llama-h5-to-gguf.py : add token types

* constants.py : add token types

* gguf.py : add token types

* convert-llama-7b-pth-to-gguf.py : add token types

* gguf-llama.cpp :  fix n_head_kv

* convert-llama-h5-to-gguf.py : add 70b gqa support

* gguf.py : add tensor data layout

* convert-llama-h5-to-gguf.py : add tensor data layout

* convert-llama-7b-pth-to-gguf.py : add tensor data layout

* gptneox-main.cpp : add tensor data layout

* convert-llama-h5-to-gguf.py : clarify the reverse permute

* llama : refactor model loading code (#2620)

* llama : style formatting + remove helper methods

* llama : fix quantization using gguf tool

* llama : simplify gguf_file_saver

* llama : fix method names

* llama : simplify write_header()

* llama : no need to pass full file loader to the file saver

just gguf_ctx

* llama : gguf_file_saver write I32

* llama : refactor tensor names (#2622)

* gguf: update tensor names searched in quantization

* gguf : define tensor names as constants

* gguf : initial write API (not tested yet)

* gguf : write to file API (not tested)

* gguf : initial write API ready + example

* gguf : fix header write

* gguf : fixes + simplify example + add ggml_nbytes_pad()

* gguf : minor

* llama : replace gguf_file_saver with new gguf write API

* gguf : streaming support when writing files

* gguf : remove oboslete write methods

* gguf : remove obosolete gguf_get_arr_xxx API

* llama : simplify gguf_file_loader

* llama : move hparams and vocab from gguf_file_loader to llama_model_loader

* llama : merge gguf-util.h in llama.cpp

* llama : reorder definitions in .cpp to match .h

* llama : minor simplifications

* llama : refactor llama_model_loader (WIP)

wip : remove ggml_ctx from llama_model_loader

wip : merge gguf_file_loader in llama_model_loader

* llama : fix shape prints

* llama : fix Windows build + fix norm_rms_eps key

* llama : throw error on missing KV paris in model meta data

* llama : improve printing + log meta data

* llama : switch print order of meta data

---------

Co-authored-by: M. Yusuf Sarıgöz <yusufsarigoz@gmail.com>

* gguf : deduplicate (#2629)

* gguf : better type names

* dedup : CPU + Metal is working

* ggml : fix warnings about unused results

* llama.cpp : fix line feed and compiler warning

* llama : fix strncpy warning + note token_to_str does not write null

* llama : restore the original load/save session implementation

Will migrate this to GGUF in the future

* convert-llama-h5-to-gguf.py : support alt ctx param name

* ggml : assert when using ggml_mul with non-F32 src1

* examples : dedup simple

---------

Co-authored-by: klosax <131523366+klosax@users.noreply.github.com>

* gguf.py : merge all files in gguf.py

* convert-new.py : pick #2427 for HF 70B support

* examples/gguf : no need to keep q option for quantization any more

* llama.cpp : print actual model size

* llama.cpp : use ggml_elements()

* convert-new.py : output gguf (#2635)

* convert-new.py : output gguf (WIP)

* convert-new.py : add gguf key-value pairs

* llama : add hparams.ctx_train + no longer print ftype

* convert-new.py : minor fixes

* convert-new.py : vocab-only option should work now

* llama : fix tokenizer to use llama_char_to_byte

* tests : add new ggml-vocab-llama.gguf

* convert-new.py : tensor name mapping

* convert-new.py : add map for skipping tensor serialization

* convert-new.py : convert script now works

* gguf.py : pick some of the refactoring from #2644

* convert-new.py : minor fixes

* convert.py : update to support GGUF output

* Revert "ci : disable CI temporary to not waste energy"

This reverts commit 7e82d25f40386540c2c15226300ad998ecd871ea.

* convert.py : n_head_kv optional and .gguf file extension

* convert.py : better always have n_head_kv and default it to n_head

* llama : sync with recent PRs on master

* editorconfig : ignore models folder

ggml-ci

* ci : update ".bin" to ".gguf" extension

ggml-ci

* llama : fix llama_model_loader memory leak

* gptneox : move as a WIP example

* llama : fix lambda capture

ggml-ci

* ggml : fix bug in gguf_set_kv

ggml-ci

* common.h : .bin --> .gguf

* quantize-stats.cpp : .bin --> .gguf

* convert.py : fix HF tensor permuting / unpacking

ggml-ci

* llama.cpp : typo

* llama : throw error if gguf fails to init from file

ggml-ci

* llama : fix tensor name grepping during quantization

ggml-ci

* gguf.py : write tensors in a single pass (#2644)

* gguf : single pass for writing tensors + refactoring writer

* gguf : single pass for writing tensors + refactoring writer

* gguf : single pass for writing tensors + refactoring writer

* gguf : style fixes in simple conversion script

* gguf : refactor gptneox conversion script

* gguf : rename h5 to hf (for HuggingFace)

* gguf : refactor pth to gguf conversion script

* gguf : rm file_type key and method

* gguf.py : fix vertical alignment

* gguf.py : indentation

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

* convert-gptneox-hf-to-gguf.py : fixes

* gguf.py : gptneox mapping

* convert-llama-hf-to-gguf.py : fixes

* convert-llama-7b-pth-to-gguf.py : fixes

* ggml.h : reverse GGUF_MAGIC

* gguf.py : reverse GGUF_MAGIC

* test-tokenizer-0.cpp : fix warning

* llama.cpp : print kv general.name

* llama.cpp : get special token kv and linefeed token id

* llama : print number of tensors per type + print arch + style

* tests : update vocab file with new magic

* editorconfig : fix whitespaces

* llama : re-order functions

* llama : remove C++ API + reorganize common source in /common dir

* llama : minor API updates

* llama : avoid hardcoded special tokens

* llama : fix MPI build

ggml-ci

* llama : introduce enum llama_vocab_type + remove hardcoded string constants

* convert-falcon-hf-to-gguf.py : falcon HF --> gguf conversion, not tested

* falcon-main.cpp : falcon inference example

* convert-falcon-hf-to-gguf.py : remove extra kv

* convert-gptneox-hf-to-gguf.py : remove extra kv

* convert-llama-7b-pth-to-gguf.py : remove extra kv

* convert-llama-hf-to-gguf.py : remove extra kv

* gguf.py : fix for falcon 40b

* falcon-main.cpp : fix for falcon 40b

* convert-falcon-hf-to-gguf.py : update ref

* convert-falcon-hf-to-gguf.py : add tensor data layout

* cmpnct_gpt2bpe.hpp : fixes

* falcon-main.cpp : fixes

* gptneox-main.cpp : fixes

* cmpnct_gpt2bpe.hpp : remove non-general stuff

* Update examples/server/README.md

Co-authored-by: slaren <slarengh@gmail.com>

* cmpnct_gpt2bpe.hpp : cleanup

* convert-llama-hf-to-gguf.py : special tokens

* convert-llama-7b-pth-to-gguf.py : special tokens

* convert-permute-debug.py : permute debug print

* convert-permute-debug-master.py : permute debug for master

* convert-permute-debug.py : change permute type of attn_q

* convert.py : 70b model working (change attn_q permute)

* Delete convert-permute-debug-master.py

* Delete convert-permute-debug.py

* convert-llama-hf-to-gguf.py : fix attn_q permute

* gguf.py : fix rope scale kv

* convert-llama-hf-to-gguf.py : rope scale and added tokens

* convert-llama-7b-pth-to-gguf.py : rope scale and added tokens

* llama.cpp : use rope scale kv

* convert-llama-7b-pth-to-gguf.py : rope scale fix

* convert-llama-hf-to-gguf.py : rope scale fix

* py : fix whitespace

* gguf : add Python script to convert GGMLv3 LLaMA models to GGUF (#2682)

* First pass at converting GGMLv3 LLaMA models to GGUF

* Cleanups, better output during conversion

* Fix vocab space conversion logic

* More vocab conversion fixes

* Add description to converted GGUF files

* Improve help text, expand warning

* Allow specifying name and description for output GGUF

* Allow overriding vocab and hyperparams from original model metadata

* Use correct params override var name

* Fix wrong type size for Q8_K

Better handling of original style metadata

* Set default value for gguf add_tensor raw_shape KW arg

* llama : improve token type support (#2668)

* Merge tokenizer fixes into the gguf branch.

* Add test vocabularies

* Adapt convert-new.py (and fix a clang-cl compiler error on windows)

* Improved tokenizer test

But does it work on MacOS?

* Improve token type support

- Added @klosax code to convert.py
- Improved token type support in vocabulary

* Exclude platform dependent tests

* More sentencepiece compatibility by eliminating magic numbers

* Restored accidentally removed comment

* llama : add API for token type

ggml-ci

* tests : use new tokenizer type API (#2692)

* Merge tokenizer fixes into the gguf branch.

* Add test vocabularies

* Adapt convert-new.py (and fix a clang-cl compiler error on windows)

* Improved tokenizer test

But does it work on MacOS?

* Improve token type support

- Added @klosax code to convert.py
- Improved token type support in vocabulary

* Exclude platform dependent tests

* More sentencepiece compatibility by eliminating magic numbers

* Restored accidentally removed comment

* Improve commentary

* Use token type API in test-tokenizer-1.cpp

* py : cosmetics

* readme : add notice about new file format

ggml-ci

---------

Co-authored-by: M. Yusuf Sarıgöz <yusufsarigoz@gmail.com>
Co-authored-by: klosax <131523366+klosax@users.noreply.github.com>
Co-authored-by: goerch <jhr.walter@t-online.de>
Co-authored-by: slaren <slarengh@gmail.com>
Co-authored-by: Kerfuffle <44031344+KerfuffleV2@users.noreply.github.com>
 2023-08-21 23:07:43 +03:00
Georgi GerganovandGitHub 1f0bccb279 server : better default prompt (#2646) 2023-08-19 05:45:36 +08:00
Georgi GerganovandGitHub 7af633aec3 readme : incoming BREAKING CHANGE 2023-08-18 17:48:31 +03:00
Georgi Gerganov e9b12c332e perplexity : more meaningful ETA number - 2 decimal points 2023-08-18 12:48:55 +03:00
Georgi GerganovandGitHub a73ccf1aa3 llama : replace (permute + reshape + view_1d) with (view_3d) (#2538) 
ggml-ci
 2023-08-17 10:47:09 +03:00
Georgi Gerganov b5ffb2849d scripts : add helper script to get wikitext 2023-08-15 10:05:25 +03:00
Georgi Gerganov e7f94d6fdc vim : bring back simple llm.vim example 2023-08-08 15:06:18 +03:00
Georgi GerganovandGitHub 93356bdb7a ggml : mul mat tweaks (#2372) 
* ggml : mul mat wip

ggml-ci

* ggml : alternative thread distribution for mul_mat

ggml-ci

* ggml : mul_mat block tiling attempt

* ggml : mul_mat threads yield

ggml-ci
 2023-08-07 14:25:58 +03:00
Georgi Gerganov 60baff7c85 ggml : pad result of ggml_nbytes() 2023-08-07 14:24:42 +03:00
Georgi GerganovandGitHub 9082b5dfbf ggml : change params pointer (style change) (#2539) 
ggml-ci
 2023-08-07 13:55:18 +03:00
Georgi GerganovandGitHub 99d29c0094 ggml : sync (custom ops) (#2537) 
ggml-ci
 2023-08-07 13:20:09 +03:00
Georgi GerganovandGitHub f6f9896ac3 metal : fix out-of-bounds access + inc concurrency nodes (#2416) 
* metal : fix out-of-bounds access + style changes

* metal : increase concurrency nodes to 2*GGML_MAX_NODES
 2023-08-07 10:52:57 +03:00
Georgi Gerganov d73b8d48b4 examples : fix whitespace 2023-07-28 21:05:08 +03:00
Georgi Gerganov 1a941869cb metal : disable graph concurrency optimization due to bug (#2413) 2023-07-27 11:00:54 +03:00
Georgi GerganovandGitHub 5b2b2dc6ae ggml : sync (unary ops refactor, static-correctness) (#2370) 
* ggml : sync (unary ops, tests)

ggml-ci

* tests : remove unnecessary funcs
 2023-07-24 14:46:21 +03:00
Georgi GerganovGitHubJohannesGaessler
 		e76d630df1 llama : grouped-query attention + LLaMAv2 70B support (#2276) 
* CUDA: GQA implementation

* llama : support for GQA and LLaMAv2 70B

ggml-ci

* py : fix hparams parsing (if-else blocks)

ggml-ci

* py : oh boy ..

ggml-ci

* help : fix gqa value for 70B

ggml-ci

---------

Co-authored-by: JohannesGaessler <johannesg@5d6.de>
 2023-07-23 15:09:47 +03:00
Georgi GerganovandGitHub b47b8a9cfe llama : optimize memory buffers (#2325) 2023-07-22 21:17:57 +03:00
Georgi Gerganov dd6c67d3cb ci : fix args 2023-07-22 12:00:56 +03:00
Georgi GerganovandGitHub 5d500e8ccf ci : add 7B CUDA tests (#2319) 
* ci : add 7B CUDA tests

ggml-ci

* ci : add Q2_K to the tests

* ci : bump CUDA ppl chunks

ggml-ci

* ci : increase CUDA TG len + add --ignore-eos

* ci : reduce CUDA ppl cunks down to 4 to save time
 2023-07-22 11:48:22 +03:00
Georgi Gerganov 0db14fef06 ggml : fix the rope fix (513f861953) 2023-07-21 15:16:55 +03:00
Georgi Gerganov 513f861953 ggml : fix rope args order + assert (#2054) 2023-07-21 14:51:34 +03:00
Georgi Gerganov 3973b25a64 gitignore : fix final newline 2023-07-21 14:42:41 +03:00
Georgi Gerganov a814d04f81 make : fix indentation 2023-07-21 13:50:55 +03:00
Georgi Gerganov 4c013bb738 ci : fix MNT realpath usage (#2250) 2023-07-21 13:49:18 +03:00
Georgi GerganovandGitHub ae178ab46b llama : make tensor_split ptr instead of array (#2272) 2023-07-21 13:10:51 +03:00
Georgi Gerganov fff0e0eafe llama : fix regression from #2000 - could not load no-mmap models 2023-07-20 13:47:26 +03:00
Georgi GerganovandGitHub d01bccde9f ci : integrate with ggml-org/ci (#2250) 
* ci : run ctest

ggml-ci

* ci : add open llama 3B-v2 tests

ggml-ci

* ci : disable wget progress output

ggml-ci

* ci : add open llama 3B-v2 tg tests for q4 and q5 quantizations

ggml-ci

* tests : try to fix tail free sampling test

ggml-ci

* ci : add K-quants

ggml-ci

* ci : add short perplexity tests

ggml-ci

* ci : add README.md

* ppl : add --chunks argument to limit max number of chunks

ggml-ci

* ci : update README
 2023-07-18 14:24:43 +03:00
Georgi Gerganov 6cbf9dfb32 llama : shorten quantization descriptions 2023-07-18 11:50:49 +03:00
Georgi Gerganov 697966680b ggml : sync (ggml_conv_2d, fix mul_mat bug, CUDA GLM rope) 2023-07-14 16:36:41 +03:00
Georgi GerganovandGitHub 975221e954 ggml : broadcast mul_mat + conv batch support (#2199) 
* ggml : broadcast mul_mat + conv batch support

* ggml : apply mul_mat broadcast fix by @jploski
 2023-07-12 20:51:29 +03:00
Georgi Gerganov 4523d10d0c ggml : add ggml_pool_1d and ggml_pool_2d 2023-07-12 20:32:15 +03:00
Georgi Gerganov 680e6f9177 cuda : add gelu support 2023-07-12 20:32:15 +03:00
Georgi GerganovandGitHub f7d278faf3 ggml : revert CUDA broadcast changes from #2183 (#2191) 2023-07-12 10:54:19 +03:00