Age | Commit message (Collapse) | Author |
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Co-authored-by: Black_Fox <radekliska@gmail.com>
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* Add support for starcoder2
* handle rope type
* skip rope freq and rotary embeddings from being serialized
* resolve comments
* Update llama.cpp
* remove redundant changes
* handle `rope-theta`
* llama : change starcoder2 rope type
* address comment
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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There are couple things in this architecture:
1. Shared input and output embedding parameters.
2. Key length and value length are not derived from `n_embd`.
More information about the models can be found at
https://ai.google.dev/gemma. GGUFs can be downloaded from
https://huggingface.co/google.
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Use correct type of pooling for embedding models
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set to false (#5487)
* fix(gguf-py): special tokens are no longer skipped when add_<token>_token is set to false
* fix(gguf-py): added missing cls and mask token ids to the gguf metadata
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* Update CMakeLists.txt
* Create reader.py
* Update reader.py
* Update reader.py
another whitespace :|
* Update reader.py
* lintlintlint
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* batched embedding: pool outputs by sequence id. updated embedding example
* bring back non-causal attention
* embd : minor improvements
* llama : minor
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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* BERT model graph construction (build_bert)
* WordPiece tokenizer (llm_tokenize_wpm)
* Add flag for non-causal attention models
* Allow for models that only output embeddings
* Support conversion of BERT models to GGUF
* Based on prior work by @xyzhang626 and @skeskinen
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Co-authored-by: Jared Van Bortel <jared@nomic.ai>
Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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* support minicpm arch.
* fix tab/space typo.
* convert minicpm model via convert-hf-gguf.py
* try to make tokenizer work
* fix bug for quantize minicpm
* fix for flake8 lint
* remove convert-minicpm.py
* fix for editorconfig
* correct minicpm model type (size)
* constants expanded for minicpm
* Minor change of the constant names for minicpm
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* support InternLM2 inference
* add add_space_prefix KV pair
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* add support for Orion-14B(https://huggingface.co/OrionStarAI/Orion-14B-Chat)
* flake8 support
* Update llama.cpp
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* Update llama.cpp
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* Update llama.cpp
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* Update llama.cpp
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* Update llama.cpp
Co-authored-by: slaren <slarengh@gmail.com>
* Update llama.cpp
* Update llama.cpp
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Co-authored-by: lixiaopu <lixiaopu@cmcm.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Co-authored-by: slaren <slarengh@gmail.com>
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* llama: add codeshell support
* llama.cpp: fix codeshell with NeoX rope
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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* convert : update phi-2 to latest HF repo
ggml-ci
* py : try to fix flake stuff
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* llama : fix llm_build_k_shift to use correct n_rot
ggml-ci
* llama : always use hparams.n_rot for ggml_rope_custom
ggml-ci
* convert : fix persimmon conversion to write correct n_rot
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* Add n_key_dim and n_value_dim
Some models use values that are not derived from `n_embd`.
Also remove `n_embd_head` and `n_embd_gqa` because it is not clear
which "head" is referred to (key or value).
Fix issue #4648.
* Fix `llm_build_kqv` to use `n_value_gqa`
* Rebase
* Rename variables
* Fix llm_build_kqv to be more generic wrt n_embd_head_k
* Update default values for n_embd_head_k and n_embd_head_v
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* Fix llm_load_tensors: the asserts were not backcompat
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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* update: awq support llama-7b model
* update: change order
* update: benchmark results for llama2-7b
* update: mistral 7b v1 benchmark
* update: support 4 models
* fix: Readme
* update: ready for PR
* update: readme
* fix: readme
* update: change order import
* black
* format code
* update: work for bot mpt and awqmpt
* update: readme
* Rename to llm_build_ffn_mpt_awq
* Formatted other files
* Fixed params count
* fix: remove code
* update: more detail for mpt
* fix: readme
* fix: readme
* update: change folder architecture
* fix: common.cpp
* fix: readme
* fix: remove ggml_repeat
* update: cicd
* update: cicd
* uppdate: remove use_awq arg
* update: readme
* llama : adapt plamo to new ffn
ggml-ci
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Co-authored-by: Trần Đức Nam <v.namtd12@vinai.io>
Co-authored-by: Le Hoang Anh <v.anhlh33@vinai.io>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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* add plamo mock
* add tensor loading
* plamo convert
* update norm
* able to compile
* fix norm_rms_eps hparam
* runnable
* use inp_pos
* seems ok
* update kqv code
* remove develop code
* update README
* shuffle attn_q.weight and attn_output.weight for broadcasting
* remove plamo_llm_build_kqv and use llm_build_kqv
* fix style
* update
* llama : remove obsolete KQ_scale
* plamo : fix tensor names for correct GPU offload
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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Otherwise, on Windows converting bling-phi-2-v0 (<https://huggingface.co/llmware/bling-phi-2-v0>) via convert-hf-to-gguf.py will fail with the following error:
```
Traceback (most recent call last):
File "C:\Users\User\git\gguf\convert-hf-to-gguf.py", line 1061, in <module>
model_instance.set_vocab()
File "C:\Users\User\git\gguf\convert-hf-to-gguf.py", line 52, in set_vocab
self._set_vocab_gpt2()
File "C:\Users\User\git\gguf\convert-hf-to-gguf.py", line 264, in _set_vocab_gpt2
special_vocab = gguf.SpecialVocab(dir_model, load_merges=True)
File "C:\Users\User\git\gguf\gguf\vocab.py", line 33, in __init__
self._load(Path(path))
File "C:\Users\User\git\gguf\gguf\vocab.py", line 81, in _load
self._try_load_merges_txt(path)
File "C:\Users\User\git\gguf\gguf\vocab.py", line 95, in _try_load_merges_txt
for line in fp:
File "C:\Users\User\miniconda3\envs\gguf\lib\encodings\cp1252.py", line 23, in decode
return codecs.charmap_decode(input,self.errors,decoding_table)[0]
UnicodeDecodeError: 'charmap' codec can't decode byte 0x81 in position 1415: character maps to <undefined>
```
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* phi2 implementation
* fix breaking change
* phi-2 : various fixes
* phi-2 : use layer norm eps
* py : whitespaces
* llama : fix meta KV override bug
* convert : phi don't add BOS token
* convert : revert "added_tokens_decoder" change
* phi-2 : scale Q instead of KQ for better precision
* ggml : fix NeoX rope to rotate just first n_dims
* cuda : less diff in the rope_neox kernel
* ggml : add ggml_mul_mat_set_prec
ggml-ci
* Update ggml-cuda.cu
Co-authored-by: slaren <slarengh@gmail.com>
* Update ggml-cuda.cu
Co-authored-by: slaren <slarengh@gmail.com>
* cuda : ggml_cuda_op_mul_mat_cublas support F32 precision
* cuda : remove oboslete comment
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Co-authored-by: Ebey Abraham <ebeyabraham@microsoft.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Co-authored-by: slaren <slarengh@gmail.com>
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* convert : support Mixtral as LLAMA arch
* convert : fix n_ff typo
* llama : model loading
* ggml : sync latest ggml_mul_mat_id
* llama : update graph to support MoE
* llama : fix cur -> cur_expert
* llama : first working version
* llama : fix expert weighting in the FFN
* ggml : ggml_get_rows support 2D indexing [n_tokens, n_experts] (cpu only)
* ggml : add n_as argument to ggml_mul_mat_id
* ggml : fix ggml_get_rows to take into account ne02 / ne11
* metal : add more general support for ggml_get_rows + tests
* llama : add basic support for offloading moe with CUDA
* metal : add/mul/div use general kernel when src1 not cont
* metal : reduce the kernel launches for ggml_mul_mat_id
* ggml : get_rows : support non-contiguos tensors with gaps, generalize up to 3D
* ggml : update get_rows f16 and q
* cuda : support non-contiguous src1 in get_rows
* llama : offload missing ffn_moe_silu
* metal : fix ggml_get_rows to work with non-cont src1
* metal : add indirect mat-vec kernels for all quantization types
* llama : do not quantize expert gating tensors
* llama : add n_expert and n_expert_used to hparams + change quants
* test-backend-ops : add moe test
* cuda : fix get_rows when ncols is odd
* convert : determine n_ctx correctly
* metal : fix ggml_mul_mat_id for F32
* test-backend-ops : make experts more evenly probable (test_moe)
* test-backend-ops : cleanup, add moe test for batches
* test-backend-ops : add cpy from f32 -> all types test
* test-backend-ops : fix dequantize block offset
* llama : fix hard-coded number of experts
* test-backend-ops : simplify and disable slow tests to avoid CI timeout
* test-backend-ops : disable MOE test with thread sanitizer
* cuda : fix mul_mat_id with multi gpu
* convert : use 1e6 rope_freq_base for mixtral
* convert : fix style
* convert : support safetensors format
* gguf-py : bump version
* metal : add cpy f16 -> f32 kernel
* metal : fix binary ops for ne10 % 4 != 0
* test-backend-ops : add one more sum_rows test
* ggml : do not use BLAS with ggml_mul_mat_id
* convert-hf : support for mixtral-instruct (#4428)
* convert : typo fix, add additional hyperparameters, use LLaMA arch for Mixtral-instruct
* convert : use sentencepiece tokenizer for Mixtral-instruct
* convert : make flake8 happy
* metal : fix soft_max kernels
ref: https://github.com/ggerganov/ggml/pull/621/commits/1914017863d2f9ab8ecc0281cc2a56d683668b92
* metal : limit kernels to not use more than the allowed threads
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Co-authored-by: Radek Pilar <github@mrkva.eu>
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* enable qwen to llama.cpp
* llama : do not GPU split bias tensors
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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Disabled rules:
* E203 Whitespace before ':' - disabled because we often use 'C' Style where values are aligned
* E211 Whitespace before '(' (E211) - disabled because we often use 'C' Style where values are aligned
* E221 Multiple spaces before operator - disabled because we often use 'C' Style where values are aligned
* E225 Missing whitespace around operator - disabled because it's broken so often it seems like a standard
* E231 Missing whitespace after ',', ';', or ':' - disabled because we often use 'C' Style where values are aligned
* E241 Multiple spaces after ',' - disabled because we often use 'C' Style where values are aligned
* E251 Unexpected spaces around keyword / parameter equals - disabled because it's broken so often it seems like a standard
* E261 At least two spaces before inline comment - disabled because it's broken so often it seems like a standard
* E266 Too many leading '#' for block comment - sometimes used as "section" separator
* E501 Line too long - disabled because it's broken so often it seems like a standard
* E701 Multiple statements on one line (colon) - broken only in convert.py when defining abstract methods (we can use# noqa instead)
* E704 Multiple statements on one line - broken only in convert.py when defining abstract methods (we can use# noqa instead)
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* gguf-py : export chat templates
* llama.cpp : escape new lines in gguf kv info prints
* gguf-py : bump version
* gguf-py : check chat_template type
* gguf-py : initialize chat_template
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* gguf-py: gguf-dump: Respect --no-tensor flag in JSON mode.
* Respect add_bos_token GGUF metadata value
* gguf-py: Try to fix SpecialVocab giving up too easily for the Nth time
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* Add support for stablelm-3b-4e1t
* Supports GPU offloading of (n-1) layers
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* gguf-py: gguf_writer: Use BytesIO to build metadata
* Use bytearray instead
Bump gguf-py package version
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* Fix gguf-convert-endian script
* Bump version and update description
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* gguf-py: Refactor and add file reading support
* Replay changes from #3871
Credit to @cebtenzzre for that pull
* Various type annotation fixes.
* sort imports with isort (again)
* Fix missing return statement in add_tensor
* style cleanup with flake8
* fix NamedTuple and Enum usage
* Fix an issue with state init in GGUFReader
Move examples to an examples/ directory
Clean up examples
Add an example of modifying keys in a GGUF file
Update documentation with info on examples
Try to support people importing gguf/gguf.py directly
* Damagage is not a word.
* Clean up gguf-py/examples/modify_gguf.py whitespace
Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com>
* Update gguf-py/examples/modify_gguf.py formatting
Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com>
* Update gguf-py/gguf/gguf_reader.py type hint
Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com>
* Make examples executable, formatting changes
* Add more information to GGUFReader and examples comments
* Include a gguf Python package version bump
* Add convert-gguf-endian.py script
* cleanup
* gguf-py : bump minor version
* Reorganize scripts
* Make GGUFReader endian detection less arbitrary
* Add JSON dumping support to gguf-dump.py
Which I kind of regret now
* A few for gguf-dump.py cleanups
* Murder accidental tuple in gguf-py/scripts/gguf-dump.py
Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com>
* cleanup
* constants : remove unneeded type annotations
* fix python 3.8 compat
* Set up gguf- scripts in pyproject.toml
* And include scripts/__init__.py, derp
* convert.py: We can't currently support Q8_0 on big endian.
* gguf-py: SpecialVocab: Always try available sources for special token ids
gguf-py: SpecialVocab: Try to load merges from merges.txt if not in tokenizer.json
gguf-py: SpecialVocab: Add 'add_bos_token' type bools to GGUF metadata
u
* cleanup
* Promote add_X_token to GGUF metadata for BOS and EOS
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Co-authored-by: Jared Van Bortel <jared@nomic.ai>
Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com>
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Co-authored-by: cebtenzzre <cebtenzzre@gmail.com>
Co-authored-by: Jeffrey Quesnelle <jquesnelle@gmail.com>
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* Add validation for special token ids to llama.cpp
Small optimization for llama_byte_to_token SPM mode
* Fix BPE newline check, only I could break something so simple
* Killll meeeeee
* Account for GGUF_KEY_KEY only setting when the key exists
* Minor code cleanups.
* Fix convert.py error msg when added tokens are out of range
* Make gguf SpecialVocab vocab size-aware
Update conversion scripts accordingly
* Avoid a string copy
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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* check whether platform is 390x if yes->do not import immintrin.h
* support s390x big endian
* support --bigendian option for s390x
1. verified with baichuan7b-chat with float 16 on s390x
2. verified with baichuan7b-chat
3. verified with chinese-alpaca-2-13b-f16
* update format based on editor-config checker result
* Update convert-baichuan-hf-to-gguf.py
* 1. check in ggml.c if endianess is not match
2. update GGUF version
3. change get_pack_prefix to property
4. update information log
* always use "GGUF" as beginng of GGUF file
* Compare "GGUF" with file header char by char
1. Set GGUF_MAGIC to "GGUF" string instead of int value
2. Compare "GGUF" char by char to ensure its byte order
3. Move bytes swap code from convert.py to gguf.py write_tensor_data
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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* feat: Support bloom models
* fix(bloom): fix model size
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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* Fix CI for publishing GGUF package
* Bump version
* fix
* bump version
* bump version
* bump version
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* Produces garbage output
* wip: correct tensors up to RoPE
* correct tensors thru RoPE
* Correct outputs through masked & softmax'd KQ
* fp32 works
* Rename adept->persimmon
* Produces correct outputs
* clean up convert scripts
* remove printing logic from ggml.c
* remove prints from llama.cpp & fix merge
* trivial cleanups
* Add offload funcs
* update conversion script to directly take adept artifacts rather than .saftensors file
* Fix norm eps bug
* Support sqr and concat on metal, persimmon-8b-q4 runs correctly
* Small changes from review
* Formatting changes
* Minor changes to conversion script
* Remove old script
* Fix editorconfig formatting
* Fix build
* add overlooked offload code ggml-ci
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* add refact model
* resolve comments
* rebase to the latest
* solve alibi cpu error
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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* add placeholder of starcoder in gguf / llama.cpp
* support convert starcoder weights to gguf
* convert MQA to MHA
* fix ffn_down name
* add LLM_ARCH_STARCODER to llama.cpp
* set head_count_kv = 1
* load starcoder weight
* add max_position_embeddings
* set n_positions to max_positioin_embeddings
* properly load all starcoder params
* fix head count kv
* fix comments
* fix vram calculation for starcoder
* store mqa directly
* add input embeddings handling
* add TBD
* working in cpu, metal buggy
* cleanup useless code
* metal : fix out-of-bounds access in soft_max kernels
* llama : make starcoder graph build more consistent with others
* refactor: cleanup comments a bit
* add other starcoder models: 3B, 7B, 15B
* support-mqa-directly
* fix: remove max_position_embeddings, use n_train_ctx
* Update llama.cpp
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* Update llama.cpp
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* Apply suggestions from code review
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* fix: switch to space from tab
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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Make try_suffixes keyword param optional.
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