Commit Graph

209 Commits

Author SHA1 Message Date
Yun Dou
b92a14a841
llama : support InfiniAI Megrez 3b (#10893)
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* Support InfiniAI Megrez 3b

* Fix tokenizer_clean_spaces for megrez
2024-12-23 01:35:44 +01:00
ymcki
6f0c9e034b
llama : support for Llama-3_1-Nemotron-51B (#10669)
* conflict resolution

* move comments after bracket to its own line
2024-12-23 01:22:33 +01:00
Billel Mokeddem
7ae33a616f
llama : add Falcon3 support (#10883)
* Add Falcon3 model support

* Add fix for adding bos to added special tokens

* Add comment explaining the logic behind the if statement

* Add a log message to better track the when the following line of code is triggered

* Update log to only print when input and output characters are different

* Fix handling pre-normalized tokens

* Refactoring
2024-12-23 00:09:58 +02:00
Georgi Gerganov
5cab3e4aaa
llama : minor grammar refactor (#10897)
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ggml-ci
2024-12-19 17:42:13 +02:00
Sukriti Sharma
2fffc52b50
llama : fix Roberta embeddings (#10856)
* fix: Use gpt2 tokenizer for roberta and add eos/bos tokens

Branch: RobertaTokenizer

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* fixes to position embeddings

Signed-off-by: Sukriti-Sharma4 <sukriti.sharma4@ibm.com>

* map roberta-bpe to gpt-2

Signed-off-by: Sukriti-Sharma4 <sukriti.sharma4@ibm.com>

* fix linting

Signed-off-by: Sukriti-Sharma4 <sukriti.sharma4@ibm.com>

---------

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>
Signed-off-by: Sukriti-Sharma4 <sukriti.sharma4@ibm.com>
Co-authored-by: Gabe Goodhart <ghart@us.ibm.com>
2024-12-19 15:04:51 +02:00
fairydreaming
7585edbdeb
convert : Add support for Microsoft Phi-4 model (#10817)
* convert : use GPT2 vocab for Phi-4 model

* convert : use null value of sliding_window to distinguish Phi-4 from other PHI3-based models

* llama : do not use sliding window attention mask for Phi-4 model

---------

Co-authored-by: Stanisław Szymczyk <sszymczy@gmail.com>
2024-12-19 10:37:12 +01:00
Georgi Gerganov
0bf2d10c55
tts : add OuteTTS support (#10784)
* server : add "tokens" output

ggml-ci

* server : output embeddings for all tokens when pooling = none

ggml-ci

* server : be explicit about the pooling type in the tests

ggml-ci

* server : do not normalize embeddings when there is no pooling

ggml-ci

* llama : add OuteTTS support (wip)

* wip

* extract features

* first conv

* group norm

* resnet conv

* resnet

* attn

* pos net

* layer norm

* convnext

* head

* hann window

* fix n_embd + remove llama.cpp hacks

* compute hann window

* fft

* spectrum processing

* clean-up

* tts : receive input text and generate codes

* clip : fix new conv name

* tts : minor fix

* tts : add header + minor fixes

ggml-ci

* tts : add matchematical constant

ggml-ci

* tts : fix sampling + cut initial noise

* tts : fixes

* tts : update default samplers

ggml-ci

* tts : text pre-processing

* tts : outetts-voc -> wavtokenizer-dec

* tts : remove hardcoded constants

ggml-ci

* tts : fix tensor shapes

* llama : refactor wavtokenizer tensors

ggml-ci

* cont

ggml-ci

* cont [no ci]

* llama : update WavTokenizer to non-causal attn

* llama : handle no-vocab detokenization

* tts : add Python example for OuteTTS (wip)

* tts : extend python example to generate spectrogram

ggml-ci

* server : fix rebase artifacts

* tts : enable "return_tokens" in Python example

ggml-ci

* tts : minor fixes

* common : support HF download for vocoder
2024-12-18 19:27:21 +02:00
Diego Devesa
4da69d1abd
Revert "llama : add Falcon3 support (#10864)" (#10876)
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This reverts commit 382bc7f2e8.
2024-12-18 01:36:46 +01:00
DAN™
d62b532c52
Use model->gguf_kv for loading the template instead of using the C API. (#10868)
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* Bump model_template to 16384 bytes to support larger chat templates.

* Use `model->gguf_kv` for efficiency.
2024-12-17 23:24:22 +01:00
Billel Mokeddem
382bc7f2e8
llama : add Falcon3 support (#10864) 2024-12-17 17:24:56 +02:00
Georgi Gerganov
08ea539df2
unicode : improve naming style (#10838)
* unicode : improve naming style

ggml-ci

* cont [no ci]
2024-12-16 12:31:45 +02:00
Georgi Gerganov
644fd71b44
sampling : refactor + optimize penalties sampler (#10803)
* sampling : refactor + optimize penalties sampler

ggml-ci

* common : apply ignore_eos as logit bias

ggml-ci

* batched : remove penalties sampler

* params : allow penalty_last_n == -1 to be equal to context size

ggml-ci

* common : by default, move the penalties at the end of the sampling chain

ggml-ci

* common : ignore all EOG tokens

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

* common : move back the penalties at the front of the sampling chain

ggml-ci

* readme : restore hint about --ignore-eos flag [no ci]

* llama : minor

ggml-ci

* webui : update

---------

Co-authored-by: Diego Devesa <slarengh@gmail.com>
2024-12-16 12:31:14 +02:00
Valentin Mamedov
a0974156f3
llama : add Deepseek MoE v1 & GigaChat models (#10827)
* Add deepseek v1 arch & gigachat template

* improve template code

* add readme

* delete comments

* remove comment

* fix format

* lint llama.cpp

* fix order of deepseek and deepseek2, move gigachat temlate to the end of func

* fix order of deepseek and deepseek2 in constants; mark shared exp as deepseek arch need

* remove comments

* move deepseek above deepseek2

* change placement of gigachat chat template
2024-12-15 19:02:46 +02:00
HimariO
ba1cb19cdd
llama : add Qwen2VL support + multimodal RoPE (#10361)
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* Barebone Qwen2VL LLM convertor

* Add Qwen2VL cli entrypoint

* [WIP] add qwen2vl arch

* Verify m-rope output

* Add vl-rope/2d-rope support for qwen2vl ViT

* update qwen2vl cli tool

* update 5D tensor op workaround

* [WIP] qwen2vl vision model

* make batch and clip utils compatible with qwen2vl

* [WIP] create inference workflow, gguf convert script but fix

* correcting vision-rope behavior, add the missing last layer back to ViT

* add arg parser to qwen2vl_surgery

* replace variable size array with vector

* cuda-gdb cmake preset

* add fp32 mrope, vision rope kernel

* add fp16 support for qwen2vl and m-rope

* add `GGML_ROPE_TYPE_MROPE`, `GGML_ROPE_TYPE_VISION`

* fix rope op mode switching, out dated func args

* update `llama_hparams`

* update to keep up stream changes

* resolve linter, test errors

* add makefile entry, update speical image padding token

* add mrope unit test, fix few compiler warnings

* rename `mrope` related function, params

* minor updates on debug util, bug fixs

* add `m-rope` testcase to `test-backend-ops`

* Apply suggestions from code review

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

* fix traililng whitespce

* store `llama_hparams.rope_sections` with fixed size array

* update position id tensor size check in GGML_OP_ROPE

* minor updates

* update `ggml_backend_*_supports_op` of unsupported backends

* remote old `rope_section` compare operator

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-12-14 14:43:46 +02:00
Diego Devesa
cb13ef85a4
remove CMAKE_WINDOWS_EXPORT_ALL_SYMBOLS (#10797)
other windows build fixes
2024-12-12 19:02:49 +01:00
Djip007
19d8762ab6
ggml : refactor online repacking (#10446)
* rename ggml-cpu-aarch64.c to .cpp

* reformat extra cpu backend.

- clean Q4_0_N_M and IQ4_0_N_M
  - remove from "file" tensor type
  - allow only with dynamic repack

- extract cpu extra bufts and convert to C++
  - hbm
  - "aarch64"

- more generic use of extra buffer
  - generalise extra_supports_op
  - new API for "cpu-accel":
     - amx
     - aarch64

* clang-format

* Clean Q4_0_N_M ref

Enable restrict on C++

* add op GGML_OP_MUL_MAT_ID for Q4_0_N_M with runtime repack

* added/corrected control on tensor size for Q4 repacking.

* Update ggml/src/ggml-cpu/ggml-cpu-aarch64.cpp

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

* Update ggml/src/ggml-cpu/ggml-cpu-aarch64.cpp

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

* add debug logs on repacks.

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-12-07 14:37:50 +02:00
Riccardo Orlando
6fe6247831
llama : add Minerva 7B model support (#10673)
* Support for Minerva 7B

* Update convert_hf_to_gguf_update.py
2024-12-05 20:30:59 +02:00
JFLFY2255
8d0cfd554a
llama: Support MiniCPM-1B (with & w/o longrope) (#10559) 2024-12-04 11:42:50 +02:00
Xuan Son Nguyen
642330ac7c
llama : add enum for built-in chat templates (#10623)
* llama : add enum for supported chat templates

* use "built-in" instead of "supported"

* arg: print list of built-in templates

* fix test

* update server README
2024-12-02 22:10:19 +01:00
Juk Armstrong
917786f43d
Add mistral-v1, mistral-v3, mistral-v3-tekken and mistral-v7 chat template types (#10572)
* Templates: `mistral-v1`, `mistral-v2`, `mistral-v3`, `mistral-v3-tekken`

* Changed system message logic and added tests for all 4

* Invalid `system_message` instead of `content` fixed

* Removed tab-indented lines

* Added template code and test for `mistral-v7`

* Added all tests. Fixed bug with `tmpl == "llama2"` test.

* Replaced tabs with spaces.

* Removed `'mistral-v2'` option as no (open) models ever used it

* Removed all references to 'v2' template from comments

* Update llama.cpp

Fixed `trim_assistant_message` bug
2024-12-01 23:09:49 +01:00
Diego Devesa
7cc2d2c889
ggml : move AMX to the CPU backend (#10570)
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* ggml : move AMX to the CPU backend

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-11-29 21:54:58 +01:00
Georgi Gerganov
4c0a95b107
llama : add missing model types 2024-11-28 20:45:07 +02:00
Georgi Gerganov
ab96610b1e
cmake : enable warnings in llama (#10474)
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* cmake : enable warnings in llama

ggml-ci

* cmake : add llama_get_flags and respect LLAMA_FATAL_WARNINGS

* cmake : get_flags -> ggml_get_flags

* speculative-simple : fix warnings

* cmake : reuse ggml_get_flags

ggml-ci

* speculative-simple : fix compile warning

ggml-ci
2024-11-26 14:18:08 +02:00
Shane A
80acb7b430
Rename Olmo1124 to Olmo2 (#10500) 2024-11-25 19:36:09 +01:00
Diego Devesa
10bce0450f
llama : accept a list of devices to use to offload a model (#10497)
* llama : accept a list of devices to use to offload a model

* accept `--dev none` to completely disable offloading

* fix dev list with dl backends

* rename env parameter to LLAMA_ARG_DEVICE for consistency
2024-11-25 19:30:06 +01:00
Diego Devesa
5931c1f233
ggml : add support for dynamic loading of backends (#10469)
* ggml : add support for dynamic loading of backends

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-11-25 15:13:39 +01:00
Diego Devesa
dc39012cba
llama : fix op mul check with command-r-plus (#10476) 2024-11-24 16:10:26 +01:00
Georgi Gerganov
1bb30bf28c
llama : handle KV shift for recurrent models (#10402)
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2024-11-21 10:22:47 +02:00
Georgi Gerganov
8e752a777b
llama : add check for KV cache shifts (#10401)
ggml-ci
2024-11-19 13:29:26 +02:00
Shane A
a88ad007de
llama : add OLMo November 2024 support (#10394)
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* Add OLMo November 2024 constants

* Add OLMo November 2024 converter

* Add loading of OLMo November 2024 tensors and hyper parameters

* Add building of OLMo November 2024 model
2024-11-19 11:04:08 +02:00
Diego Devesa
be5caccef9
llama : only use default buffer types for the KV cache (#10358) 2024-11-17 12:25:45 +01:00
Johannes Gäßler
4e54be0ec6
llama/ex: remove --logdir argument (#10339) 2024-11-16 23:00:41 +01:00
FirstTimeEZ
89e4caaaf0
llama : save number of parameters and the size in llama_model (#10286)
fixes #10285
2024-11-16 01:42:13 +01:00
Charles Xu
1607a5e5b0
backend cpu: add online flow for aarch64 Q4_0 GEMV/GEMM kernels (#9921)
* backend-cpu: add online flow for aarch64 Q4_0 GEMV/GEMM kernels

---------

Co-authored-by: Diego Devesa <slarengh@gmail.com>
2024-11-15 01:28:50 +01:00
Diego Devesa
ae8de6d50a
ggml : build backends as libraries (#10256)
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* ggml : build backends as libraries

---------

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Co-authored-by: R0CKSTAR <xiaodong.ye@mthreads.com>
2024-11-14 18:04:35 +01:00
Michael Podvitskiy
fb4a0ec083
llama : propagate the results of graph_compute (#9525)
* llama: propagating the results of `graph_compute` to the user interface

* llama: reverting kv_cache in case of failed compute

* llama: `llama_kv_cache_state` was removed, only the result of `llama_graph_compute` is returned

* llama: restore a kv_cache in case of failed computation

* llama: correct reverting of the entire batch.
also updates `llama_kv_cache_find_slot`, will correctly count the number of `used` cells for recurrent models

* llama: updated comments

* llama : add comments about KV cache state after error

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-11-13 20:00:35 +02:00
Georgi Gerganov
f018acba22
llama : fix Qwen model type strings 2024-11-09 11:26:34 +02:00
wwoodsTM
5107e8cea3
DRY: Fixes clone functionality (#10192) 2024-11-07 16:20:25 +01:00
Zhiyuan Li
3bcd40b3c5
Optimize RWKV6 Operator Naming and Implement Multi-core CPU/ SYCL Acceleration (#10133)
* rwkv6: rename to wkv6

* rwkv6: support avx2 avx512 armv8 armv9

* rwkv6: update cuda file name

* rwkv6: rename params

* wkv on sycl

* sycl: add some ops

* sycl: Enhance OP support judgment

* wkv6: drop armv9 and tranfer to GGML style

ggml-ci

* sync : ggml

* update the function to use appropriate types

* fix define error

* Update ggml/src/ggml-cpu.c

* add appropriate asserts

* move element-wise functions outside

* put the declaration outside the loop

* rewrite to be more inline with the common pattern for distributing threads

* use recommended way GGML_TENSOR_LOCALS

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Co-authored-by: Diego Devesa <slarengh@gmail.com>
Co-authored-by: Plamen Minev <pacominev@gmail.com>
Co-authored-by: Yuri Khrustalev <ykhrustalev@users.noreply.github.com>
Co-authored-by: Meng, Hengyu <airdldl@163.com>
2024-11-07 15:19:10 +08:00
Diego Devesa
94d8cb8be1
metal : fix from ptr buffer name (#10189) 2024-11-06 12:10:07 +01:00
Gabe Goodhart
b8deef0ec0
llama : add <|tool_call|> formatting to Granite template (#10177)
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Branch: GraniteToolCallTemplate

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>
2024-11-05 14:23:04 +02:00
Diego Devesa
9f40989351
ggml : move CPU backend to a separate file (#10144)
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2024-11-03 19:34:08 +01:00
Georgi Gerganov
1926d6e39d
llama : adjust default context size + print warnings (#10136)
* llama : adjust default context size + print warnings

ggml-ci

* ggml-ci : add missing gpu-layers + adjust context sizes
2024-11-02 15:18:56 +02:00
Diego Devesa
e991e3127f
llama : use smart pointers for ggml resources (#10117) 2024-11-01 23:48:26 +01:00
Diego Devesa
85679d37f3
llama : improve output buffer type selection (#10098)
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2024-11-01 00:49:53 +01:00
Diego Devesa
1e9f94994e
quantize : fix --keep-split (#10114) 2024-11-01 00:45:34 +01:00
Diego Devesa
c02e5ab2a6
llama : fix buffer checks for mamba and rwk (#10111)
* llama : fix buffer checks for mamba and rwk

* llama : fix missing worst case flag during reserve

* cuda : fix supports_op for norm

* disable sched SET_CAUSE
2024-10-31 22:54:23 +01:00
Zhenwei Jin
ab3d71f97f
loader: refactor tensor weights storage (#9935)
* loader: refactor tensor weights storage

* use sorted map, sort weights by layer

---------

Co-authored-by: slaren <slarengh@gmail.com>
2024-10-31 19:50:39 +01:00
Diego Devesa
dea5e86051
ggml : check tensor name lengths in gguf files (#10100) 2024-10-31 11:40:59 +01:00
Diego Devesa
c5b0f4b5d9
llama : refactor model loader with backend registry (#10026) 2024-10-30 02:01:23 +01:00