Georgi Gerganov
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 Gerganov
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 Gerganov
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
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
Przemysław Pawełczyk
1591e2e590
ggml : detect SSSE3 ( #2825 )
...
* ggml : add ggml_cpu_has_ssse3
* llama : show SSSE3 in system info
2023-08-27 11:10:25 +03:00
Georgi Gerganov
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
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
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 7e82d25f40#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
slaren
9e232f0234
ggml : move all type info to ggml_type_traits ( #2663 )
2023-08-20 22:17:53 +02:00
Georgi Gerganov
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 Gerganov
9082b5dfbf
ggml : change params pointer (style change) ( #2539 )
...
ggml-ci
2023-08-07 13:55:18 +03:00
Georgi Gerganov
99d29c0094
ggml : sync (custom ops) ( #2537 )
...
ggml-ci
2023-08-07 13:20:09 +03:00
slaren
a113689571
ggml : add graph tensor allocator ( #2411 )
...
* ggml : add graph tensor allocator
* ggml : don't calculate data pointer of unallocated tensors when creating a view with an offset
* ggml : refactor ggml_view_Nd into ggml_view_tensor_offset
2023-07-30 15:58:01 +02:00
slaren
b5472ea0ad
ggml : fix assert in ggml_set_unary_op ( #2410 )
2023-07-26 23:57:23 +02:00
slaren
5488fb789e
ggml : allocate graphs in a context ( #2392 )
...
* ggml : graph allocation in contexts
* allocate work buffer as a ggml_object in ggml_graph_compute_with_ctx
* llama.cpp : allocate graph in the context
* add GGML_PAD
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-07-26 15:56:53 +02:00
slaren
07aaa0f63f
ggml : fix ggml_flash_attn to use op_params ( #2387 )
...
* ggml : fix ggml_flash_attn to use op_params
2023-07-25 16:20:12 +02:00
Jiahao Li
875086bdb9
ggml : relax contiguous constraints in activation function ( #2371 )
2023-07-25 15:58:32 +03:00
slaren
da1889834a
ggml : improve graph build time via hash table lookup ( #2329 )
...
* improve graph build time
* ggml_tensor : use 1 bit per flag
* use a hash table instead
2023-07-25 15:32:20 +03:00
slaren
41c674161f
make rms_norm_eps a parameter ( #2374 )
...
* make rms_norm_eps a parameter
* add rms_norm_eps to command line
* fix baby llama, test-grad0
* use scientific notation for eps param in the help
ggml-ci
2023-07-24 17:57:12 +02:00
Georgi Gerganov
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
slaren
3602ac4255
fix n_tasks ( #2342 )
...
ggml-ci
2023-07-23 15:19:39 +02:00
slaren
95a6c595e7
ggml: move op parameters from tensors to ggml_tensor::op_params ( #2333 )
...
* ggml: move op parameters from tensors to ggml_tensor::op_params
* alibi: use memcpy for float params
* remove `src[1] = NULL` in ops
2023-07-23 14:36:02 +02:00
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
Qingyou Meng
672dda10e4
ggml : fixed runtime bugs and compile errors related to GGML_PERF and GGML_DEBUG ( #2219 )
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* fixed runtime bugs and compile errors related to GGML_PERF and GGML_DEBUG
* remove ifdef GGML_PERF; update fmt
2023-07-16 22:57:28 +03:00
Xiao-Yong Jin
6e7cca4047
llama : add custom RoPE ( #2054 )
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* Implement customizable RoPE
The original RoPE has pre-defined parameters
theta_i = 10000^(−2(i−1)/d), for i in [1, 2, ..., d/2]
Our customizable RoPE, ggml_rope_custom_inplace, uses
theta_i = scale * base^(−2(i−1)/d), for i in [1, 2, ..., d/2]
with the default matches the original
scale = 1.0
base = 10000
The new command line arguments
--rope-freq-base
--rope-freq-scale
set the two new RoPE parameter.
Recent researches show changing these two parameters extends the context limit with minimal loss.
1. Extending Context to 8K
kaiokendev
https://kaiokendev.github.io/til#extending-context-to-8k
2. Extending Context Window of Large Language Models via Positional Interpolation
Shouyuan Chen, Sherman Wong, Liangjian Chen, Yuandong Tian
https://arxiv.org/abs/2306.15595
3. NTK-Aware Scaled RoPE allows LLaMA models to have extended (8k+) context size without any fine-tuning and minimal perplexity degradation.
https://www.reddit.com/user/bloc97
https://www.reddit.com/r/LocalLLaMA/comments/14lz7j5/ntkaware_scaled_rope_allows_llama_models_to_have/
For the bold, try adding the following command line parameters to your favorite model:
-c 16384 --rope-freq-base 80000 --rope-freq-scale 0.5
* ggml-metal: fix custom rope
* common: fix argument names in help
* llama: increase MEM_REQ_EVAL for MODEL_3B
It avoids crashing for quantized weights on CPU.
Better ways to calculate the required buffer size would be better.
* llama: make MEM_REQ_EVAL depend on n_ctx
* server: use proper Content-Type in curl examples
Without the header Content-Type: application/json, curl will POST with
Content-Type: application/x-www-form-urlencoded
Though our simple server doesn't care, the httplib.h used has a limit
with CPPHTTPLIB_FORM_URL_ENCODED_PAYLOAD_MAX_LENGTH 8192
With Content-Type: application/json, we can send large json data.
* style : minor fixes, mostly indentations
* ggml : fix asserts
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-07-15 13:34:16 +03:00
Evan Miller
e8035f141e
ggml : fix static_assert with older compilers #2024 ( #2218 )
2023-07-14 21:55:56 +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 Gerganov
975221e954
ggml : broadcast mul_mat + conv batch support ( #2199 )
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* 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
20d7740a9b
ggml : sync (abort callback, mul / add broadcast, fix alibi) ( #2183 )
2023-07-11 22:53:34 +03:00
Spencer Sutton
5bf2a27718
ggml : remove src0 and src1 from ggml_tensor and rename opt to src ( #2178 )
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* Add ggml changes
* Update train-text-from-scratch for change
* mpi : adapt to new ggml_tensor->src
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-07-11 19:31:10 +03:00
clyang
3bbc1a11f0
ggml : fix buidling with Intel MKL but ask for "cblas.h" issue ( #2104 ) ( #2115 )
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* Fix buidling with Intel MKL but ask for "cblas.h" issue
* Use angle brackets to indicate the system library
2023-07-09 11:12:20 +03:00
Qingyou Meng
1d656d6360
ggml : change ggml_graph_compute() API to not require context ( #1999 )
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* ggml_graph_compute: deprecate using ggml_context, try resolve issue #287
* rewrite: no longer consider backward compitability; plan and make_plan
* minor: rename ctx as plan; const
* remove ggml_graph_compute from tests/test-grad0.c, but current change breaks backward
* add static ggml_graph_compute_sugar()
* minor: update comments
* reusable buffers
* ggml : more consistent naming + metal fixes
* ggml : fix docs
* tests : disable grad / opt + minor naming changes
* ggml : add ggml_graph_compute_with_ctx()
- backwards compatible API
- deduplicates a lot of copy-paste
* ci : enable test-grad0
* examples : factor out plan allocation into a helper function
* llama : factor out plan stuff into a helper function
* ci : fix env
* llama : fix duplicate symbols + refactor example benchmark
* ggml : remove obsolete assert + refactor n_tasks section
* ggml : fix indentation in switch
* llama : avoid unnecessary bool
* ggml : remove comments from source file and match order in header
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-07-07 19:24:01 +03:00
Georgi Gerganov
7242140283
ggml : remove sched_yield() call in ggml_graph_compute_thread() ( #2134 )
2023-07-07 18:37:10 +03:00
Georgi Gerganov
ec326d350c
ggml : fix bug introduced in #1237
2023-07-05 20:44:11 +03:00
Stephan Walter
1b107b8550
ggml : generalize quantize_fns for simpler FP16 handling ( #1237 )
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* Generalize quantize_fns for simpler FP16 handling
* Remove call to ggml_cuda_mul_mat_get_wsize
* ci : disable FMA for mac os actions
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-07-05 19:13:06 +03:00
Georgi Gerganov
ed9a54e512
ggml : sync latest (new ops, macros, refactoring) ( #2106 )
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- add ggml_argmax()
- add ggml_tanh()
- add ggml_elu()
- refactor ggml_conv_1d() and variants
- refactor ggml_conv_2d() and variants
- add helper macros to reduce code duplication in ggml.c
2023-07-04 21:54:11 +03:00
Georgi Gerganov
46088f7231
ggml : fix build with OpenBLAS ( close #2066 )
2023-07-02 09:46:46 +03:00
Qingyou Meng
b1ca8f36a9
ggml : disable GGML_TASK_INIT and GGML_TASK_FINALIZE by default ( #1995 )
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Will not be scheduled unless explicitly enabled.
2023-07-01 18:42:43 +03:00
Erik Scholz
9d23589d63
fix pthreads setaffinity usage on android ( #2020 )
2023-06-27 19:06:33 +02:00
Georgi Gerganov
d9779021bd
ggml : add support for ChatGLM RoPE
2023-06-27 00:06:51 +03:00
Georgi Gerganov
c824d2e368
ggml : avoid conv 2d kernel round up
2023-06-26 21:03:59 +03:00
zrm
b853d45601
ggml : add NUMA support ( #1556 )
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* detect NUMA systems and pin work threads to nodes (linux)
* disable mmap prefetch/readahead for NUMA systems
* avoid sending finalize op to thread pool if it does nothing
* silence robot
* fix args
* make --numa a param
* recommendation that n_nodes evenly divide n_threads did not warrant such aggressive enforcement
* lower synchronization overhead
* statically allocate
* move numa state to g_state
* add description for --numa
* ggml : minor style changes
* ggml : minor style + try fix sanitizer build
* llama : allow to initialize backend with NUMA support
* llama : avoid ggml include in llama-util.h
* ggml : style / formatting
* ggml : fix handling of ops with n_threads > n_tasks > 1
* server : utilize numa parameter
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-06-26 20:57:59 +03:00
Georgi Gerganov
bd34cdde38
ggml : sync latest ggml (custom operators)
2023-06-25 14:25:08 +03:00
Robyn
5ec8dd5a3c
#1869 Fix null reference errors when training from scratch with CUDA ( #1907 )
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* #1869 Fix null reference errors when training from scratch with CUDA build
Calling ggml_compute_forward when node->src0 was null was causing train-text-from-scratch.exe to terminate unexpectedly.
* ggml : do not dereference src0 if NULL
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-06-24 20:10:29 +02:00
slaren
f2c754e1c3
ggml : improve ggml_graph_dump_dot, add ggml_format_name ( #1978 )
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* Improve ggml_graph_dump_dot, add ggml_format_name
* add more automatic names to view ops
* fix name of copies
2023-06-24 13:57:18 +03:00
Georgi Gerganov
18b35625c3
ggml : fix bug in LBFGS optimizer (found by ggml tests)
2023-06-19 20:43:30 +03:00
Georgi Gerganov
b97ca431db
ggml : sync latest ggml repo ( #1924 )
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* ggml : sync latest ggml repo
* ggml : remove unused comments
* ggml : asserts
2023-06-19 18:12:33 +03:00
