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>
This commit is contained in:
Georgi Gerganov
GitHub
parent
dadbed99e6
commit
6381d4e110
54 changed files with 10020 additions and 2955 deletions
122
ggml.h
122
ggml.h
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@ -207,14 +207,18 @@
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#define GGML_MAX_PARAMS 256
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#define GGML_MAX_CONTEXTS 64
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#define GGML_MAX_SRC 6
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#define GGML_MAX_NAME 48
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#define GGML_MAX_NAME 64
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#define GGML_MAX_OP_PARAMS 32
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#define GGML_DEFAULT_N_THREADS 4
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#define GGML_EXIT_SUCCESS 0
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#define GGML_EXIT_ABORTED 1
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#define GGUF_MAGIC 0x46554747 // "GGUF"
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#define GGUF_VERSION 1
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#define GGUF_DEFAULT_ALIGNMENT 32
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#define GGML_UNUSED(x) (void)(x)
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#define GGML_PAD(x, n) (((x) + (n) - 1) & ~((n) - 1))
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@ -562,6 +566,7 @@ extern "C" {
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GGML_API int64_t ggml_nelements (const struct ggml_tensor * tensor);
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GGML_API int64_t ggml_nrows (const struct ggml_tensor * tensor);
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GGML_API size_t ggml_nbytes (const struct ggml_tensor * tensor);
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GGML_API size_t ggml_nbytes_pad (const struct ggml_tensor * tensor); // same as ggml_nbytes() but padded to GGML_MEM_ALIGN
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GGML_API size_t ggml_nbytes_split(const struct ggml_tensor * tensor, int nrows_split);
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GGML_API int ggml_blck_size (enum ggml_type type);
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@ -1494,7 +1499,6 @@ extern "C" {
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struct ggml_context * ctx,
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struct ggml_tensor * tensor);
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GGML_API void ggml_build_forward_expand(struct ggml_cgraph * cgraph, struct ggml_tensor * tensor);
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GGML_API struct ggml_cgraph ggml_build_forward (struct ggml_tensor * tensor);
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@ -1703,6 +1707,118 @@ extern "C" {
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GGML_API size_t ggml_quantize_chunk(enum ggml_type type, const float * src, void * dst, int start, int n, int64_t * hist);
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//
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// gguf
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//
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enum gguf_type {
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GGUF_TYPE_UINT8 = 0,
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GGUF_TYPE_INT8 = 1,
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GGUF_TYPE_UINT16 = 2,
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GGUF_TYPE_INT16 = 3,
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GGUF_TYPE_UINT32 = 4,
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GGUF_TYPE_INT32 = 5,
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GGUF_TYPE_FLOAT32 = 6,
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GGUF_TYPE_BOOL = 7,
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GGUF_TYPE_STRING = 8,
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GGUF_TYPE_ARRAY = 9,
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GGUF_TYPE_COUNT, // marks the end of the enum
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};
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struct gguf_context;
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struct gguf_init_params {
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bool no_alloc;
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// if not NULL, create a ggml_context and allocate the tensor data in it
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struct ggml_context ** ctx;
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};
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GGML_API struct gguf_context * gguf_init_empty(void);
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GGML_API struct gguf_context * gguf_init_from_file(const char * fname, struct gguf_init_params params);
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//GGML_API struct gguf_context * gguf_init_from_buffer(..);
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GGML_API void gguf_free(struct gguf_context * ctx);
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GGML_API const char * gguf_type_name(enum gguf_type type);
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GGML_API int gguf_get_version (struct gguf_context * ctx);
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GGML_API size_t gguf_get_alignment (struct gguf_context * ctx);
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GGML_API size_t gguf_get_data_offset(struct gguf_context * ctx);
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GGML_API void * gguf_get_data (struct gguf_context * ctx);
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GGML_API int gguf_get_n_kv(struct gguf_context * ctx);
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GGML_API int gguf_find_key(struct gguf_context * ctx, const char * key);
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GGML_API const char * gguf_get_key (struct gguf_context * ctx, int i);
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GGML_API enum gguf_type gguf_get_kv_type (struct gguf_context * ctx, int i);
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GGML_API enum gguf_type gguf_get_arr_type(struct gguf_context * ctx, int i);
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// results are undefined if the wrong type is used for the key
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GGML_API uint8_t gguf_get_val_u8 (struct gguf_context * ctx, int i);
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GGML_API int8_t gguf_get_val_i8 (struct gguf_context * ctx, int i);
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GGML_API uint16_t gguf_get_val_u16 (struct gguf_context * ctx, int i);
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GGML_API int16_t gguf_get_val_i16 (struct gguf_context * ctx, int i);
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GGML_API uint32_t gguf_get_val_u32 (struct gguf_context * ctx, int i);
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GGML_API int32_t gguf_get_val_i32 (struct gguf_context * ctx, int i);
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GGML_API float gguf_get_val_f32 (struct gguf_context * ctx, int i);
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GGML_API bool gguf_get_val_bool(struct gguf_context * ctx, int i);
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GGML_API const char * gguf_get_val_str (struct gguf_context * ctx, int i);
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GGML_API int gguf_get_arr_n (struct gguf_context * ctx, int i);
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GGML_API const void * gguf_get_arr_data(struct gguf_context * ctx, int i);
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GGML_API const char * gguf_get_arr_str (struct gguf_context * ctx, int key_id, int i);
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GGML_API int gguf_get_n_tensors (struct gguf_context * ctx);
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GGML_API int gguf_find_tensor (struct gguf_context * ctx, const char * name);
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GGML_API size_t gguf_get_tensor_offset(struct gguf_context * ctx, int i);
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GGML_API char * gguf_get_tensor_name (struct gguf_context * ctx, int i);
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// overrides existing values or adds a new one
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GGML_API void gguf_set_val_u8 (struct gguf_context * ctx, const char * key, uint8_t val);
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GGML_API void gguf_set_val_i8 (struct gguf_context * ctx, const char * key, int8_t val);
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GGML_API void gguf_set_val_u16 (struct gguf_context * ctx, const char * key, uint16_t val);
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GGML_API void gguf_set_val_i16 (struct gguf_context * ctx, const char * key, int16_t val);
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GGML_API void gguf_set_val_u32 (struct gguf_context * ctx, const char * key, uint32_t val);
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GGML_API void gguf_set_val_i32 (struct gguf_context * ctx, const char * key, int32_t val);
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GGML_API void gguf_set_val_f32 (struct gguf_context * ctx, const char * key, float val);
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GGML_API void gguf_set_val_bool(struct gguf_context * ctx, const char * key, bool val);
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GGML_API void gguf_set_val_str (struct gguf_context * ctx, const char * key, const char * val);
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||||
GGML_API void gguf_set_arr_data(struct gguf_context * ctx, const char * key, enum gguf_type type, const void * data, int n);
|
||||
GGML_API void gguf_set_arr_str (struct gguf_context * ctx, const char * key, const char ** data, int n);
|
||||
|
||||
// set or add KV pairs from another context
|
||||
GGML_API void gguf_set_kv(struct gguf_context * ctx, struct gguf_context * src);
|
||||
|
||||
// manage tensor info
|
||||
GGML_API void gguf_add_tensor(struct gguf_context * ctx, const struct ggml_tensor * tensor);
|
||||
GGML_API void gguf_set_tensor_type(struct gguf_context * ctx, const char * name, enum ggml_type type);
|
||||
GGML_API void gguf_set_tensor_data(struct gguf_context * ctx, const char * name, const void * data, size_t size);
|
||||
|
||||
// writing gguf files can be done in 2 ways:
|
||||
//
|
||||
// - write the entire gguf_context to a binary file in a single pass:
|
||||
//
|
||||
// gguf_write_to_file(ctx, fname);
|
||||
//
|
||||
// - first prepare a file with a placeholder for the meta data, write the tensor data, then write the meta data:
|
||||
//
|
||||
// FILE * f = fopen(fname, "wb");
|
||||
// fseek(f, gguf_get_meta_size(ctx), SEEK_SET);
|
||||
// fwrite(f, ...);
|
||||
// void * data = gguf_meta_get_meta_data(ctx);
|
||||
// fseek(f, 0, SEEK_SET);
|
||||
// fwrite(f, data, gguf_get_meta_size(ctx));
|
||||
// free(data);
|
||||
// fclose(f);
|
||||
//
|
||||
|
||||
// write the entire context to a binary file
|
||||
GGML_API void gguf_write_to_file(struct gguf_context * ctx, const char * fname, bool only_meta);
|
||||
|
||||
// get the size in bytes of the meta data (header, kv pairs, tensor info) including padding
|
||||
GGML_API size_t gguf_get_meta_size(struct gguf_context * ctx);
|
||||
GGML_API void gguf_get_meta_data(struct gguf_context * ctx, void * data);
|
||||
|
||||
//
|
||||
// system info
|
||||
//
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue