Commit Graph

92 Commits

Author SHA1 Message Date
8b91d5355a llama : correct rms norm for llama 4 (#12882) 2025-04-11 08:49:50 +02:00
d3bd7193ba llama : Support Qwen3 and Qwen3MoE (#12828)
* add qwen3 & qwen3moe support.

* fix

---------

Co-authored-by: bozheng-hit <dsoul0621@gmail.com>
2025-04-09 11:47:36 +02:00
1466621e73 llama : Support llama 4 text-only (#12791)
* llama4 conversion

* initial support, no chat template

* clean up a bit

* fix tokenizer conversion

* correct hparams

* try this

* fix shexp

* ffn_inp_normed

* chat template

* clean up model conversion

* add_bos

* add scale_before_ffn

* fix order

* weight_before_ffn

* llm_graph_input_attn_temp

* add chunk attn mask

* build_inp_attn_scale()

* add comment about ggml_repeat

* clarify comments

* fix build
2025-04-07 23:06:44 +02:00
e0e912f49b llama : add option to override model tensor buffers (#11397)
* llama : add option to override tensor buffers

* ggml : fix possible underflow in ggml_nbytes
2025-04-02 14:52:01 +02:00
2c3f8b850a llama : support BailingMoE (Ling) (#12634) 2025-03-30 22:21:03 +02:00
0bb2919335 llama : change cpu_buft_list order: ACCEL -> GPU host -> CPU extra -> CPU (#12632)
this allow to use GPU host when possible over CPU repack.
this have the same effect to resolve this issues (#12498) without
completely disable CPU extra buffer.

Co-authored-by: philou <philou@framework>
2025-03-29 14:07:37 +01:00
3714c3ee1a llama : fix incorrect Qwen2Moe ffn_moe_out graph callback (#12631) 2025-03-28 22:13:02 +01:00
f125b8dccf llama : add PLM GGUF Conversion & Inference Support (#12457)
* add edgellm model arch[conversation feature doesn't work]

* remove output.weight layer for edgellm arch

* [Model] update the name of the model

* update the name of model arch in convert gguf

* [Model] Refarctor the model arch into llama-model

* [Bug] Fix the bug in create attn kv

* [Code] Fix editorconfig erros

* [Code] Remove Trailing whitespace

* [Code] Remove Trailing whitespace

* [Code] Change the order of model arch in list

* [Code] Fix flake8 Lint errors

* Remove trailing white space

* [Code] Remove  call in model arch
2025-03-27 12:49:15 +02:00
953c2a62cf model : restore support for T5Encoder (#12590) 2025-03-27 11:43:33 +01:00
fbdfefe74e llama : gemma3 : use output tensor if it exists in model weight (#12506)
* llama : gemma3 : use output tensor if it exists in model weight

* also add to the llm_tensor_names
2025-03-22 23:28:19 +01:00
af04481e6b model : do not repack if a GPU device is present (#12498)
ggml-ci
2025-03-21 16:14:29 +02:00
960e726077 chore : cleanup llama_model_loader::TENSOR_ usage (#12492) 2025-03-21 10:21:36 +01:00
dbb3a4739e llama : make Qwen2MoE QKV bias optional (#12477) 2025-03-20 12:49:59 +01:00
108e53c2f1 llama : add support for GPT2, Bloom and CodeShell tied word embeddings (#12456)
* Add support for GPT2, Bloom and CodeShell tied word embeddings

* Deduplicate tied word embeddings weights

* Workaround for incorrect weight map

It appears transformer.wte.weight is in the weight map even though the weights are not there, remove it if output weights are encountered first.

* check++

* fatfingers--
2025-03-19 09:08:49 +01:00
75422e8bc4 graph : normalize Q, K, V shapes + sync cross attention (#12449)
* graph : normalize Q, K, V shapes and add comments

ggml-ci

* context : synchronize before getting cross attention data

* model : fix command-r attention norm check
2025-03-18 21:35:19 +02:00
99aa304fb9 llama : add support for EXAONE tied word embeddings (#12451) 2025-03-18 17:24:33 +01:00
7dfad387e3 llama: Add support for RWKV v7 architecture (#12412)
* ggml: Add op l2_norm

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* ggml: Add op rwkv_wkv7

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* llama: Add support for RWKV7 and ARWKV7 models

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* llama: fix inference with RWKV6Qwen2

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* llama: add more (a)rwkv7 variants in size

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* Apply code-format changes

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* fix MUSA build

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* llama: fix shape error with rwkv using llama-parallel

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

---------

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>
2025-03-18 07:27:50 +08:00
8ba95dca20 llama : fix OLMo-2-0325-32B-Instruct K-norm size (#12400) 2025-03-16 19:46:36 +02:00
c522ce4143 graph : simplify attn input build for unified KV cache (#12381)
ggml-ci
2025-03-14 10:47:44 +02:00
081bee8c64 hparams : add SWA rope parameters (#12374)
ggml-ci
2025-03-14 09:03:24 +02:00
84d5475541 llama : fix Gemma3 SWA KV cache shift (#12373)
* llama : fix Gemma3 SWA KV cache shift

ggml-ci

* hparams : add comment [no ci]
2025-03-13 19:08:07 +02:00
e0dbec0bc6 llama : refactor llama_context, llama_kv_cache, llm_build_context (#12181)
* llama : refactor llama_context, llama_kv_cache, llm_build_context

ggml-ci

* graph : don't mutate the KV cache during defrag

ggml-ci

* context : reduce virtuals + remove test function

ggml-ci

* context : move interface implementation to source file + factory

ggml-ci

* graph : move KV cache build functions to llama_context impl

ggml-ci

* graph : remove model reference from build_pooling

ggml-ci

* graph : remove llama_model reference

ggml-ci

* kv_cache : provide rope factors

ggml-ci

* graph : rework inputs to use only unique_ptr, remove attn input abstraction

ggml-ci

* context : remove llama_context_i abstraction

ggml-ci

* context : clean-up

ggml-ci

* graph : clean-up

ggml-ci

* llama : remove redundant keywords (struct, enum)

ggml-ci

* model : adapt gemma3

ggml-ci

* graph : restore same attention ops as on master

ggml-ci

* llama : remove TODO + fix indent

ggml-ci
2025-03-13 12:35:44 +02:00
7841fc723e llama : Add Gemma 3 support (+ experimental vision capability) (#12343)
* llama : Add Gemma 3 text-only support

* fix python coding style

* fix compile on ubuntu

* python: fix style

* fix ubuntu compile

* fix build on ubuntu (again)

* fix ubuntu build, finally

* clip : Experimental support for Gemma 3 vision (#12344)

* clip : Experimental support for Gemma 3 vision

* fix build

* PRId64
2025-03-12 09:30:24 +01:00
c43a3e7996 llama : add Phi-4-mini support (supersede #12099) (#12108)
* Added Phi-4-mini-instruct support

* Update regex per ngxson

* Change the vocab base to Xenova/gpt-4o

* fix conversion update script

* no need to check longrope

* minor style fix

* fix python style

---------

Co-authored-by: Nicholas Sparks <nisparks@microsoft.com>
2025-02-28 12:44:11 +01:00
3e9a2860e9 llama : expose llama_model_n_head_kv in the API (#11997)
It's useful to be able to have this from the library layer as it's a key
parameter of the model (e.g. to figure out how much KV cache memory is
needed).
2025-02-25 11:29:33 +02:00
51f311e057 llama : skip loading unused tensors (#12004)
* llama : assign unknown/unused tensors to host buffer type

ggml-ci

* llama : skip unused tensors

ggml-ci
2025-02-21 18:33:18 +02:00
bdcf8b6a56 cont : fix mmap flag print (#11699) 2025-02-08 16:49:38 +02:00
9dd7a0390f llama : add log about loading model tensors (#11699) 2025-02-06 13:41:37 +02:00
0cec062a63 llama : add support for GLM-Edge and GLM-Edge-V series models (#10573)
* add glm edge chat model

* use config partial_rotary_factor as rope ratio

* support for glm edge model

* vision model support

* remove debug info

* fix format

* llava.cpp trailing whitespace

* remove unused AutoTokenizer

* Update src/llama.cpp for not contain <|end|> or </s>

Co-authored-by: Xuan Son Nguyen <thichthat@gmail.com>

* add edge template

* fix chat template

* fix confict

* fix confict

* fix ci err

* fix format err

* fix template err

* 9b hf chat support

* format

* format clip.cpp

* fix format

* Apply suggestions from code review

* Apply suggestions from code review

* Update examples/llava/clip.cpp

* fix format

* minor : style

---------

Co-authored-by: liyuhang <yuhang.li@zhipuai.cn>
Co-authored-by: piDack <pcdack@hotmail.co>
Co-authored-by: Xuan Son Nguyen <thichthat@gmail.com>
Co-authored-by: liyuhang <yuhang.li@aminer.cn>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2025-02-02 09:48:46 +02:00
1d8ee06000 rpc: fix register position (#11424)
Signed-off-by: thxCode <thxcode0824@gmail.com>
2025-01-26 16:20:34 +01:00
6171c9d258 Add Jinja template support (#11016)
* Copy minja from 58f0ca6dd7

* Add --jinja and --chat-template-file flags

* Add missing <optional> include

* Avoid print in get_hf_chat_template.py

* No designated initializers yet

* Try and work around msvc++ non-macro max resolution quirk

* Update test_chat_completion.py

* Wire LLM_KV_TOKENIZER_CHAT_TEMPLATE_N in llama_model_chat_template

* Refactor test-chat-template

* Test templates w/ minja

* Fix deprecation

* Add --jinja to llama-run

* Update common_chat_format_example to use minja template wrapper

* Test chat_template in e2e test

* Update utils.py

* Update test_chat_completion.py

* Update run.cpp

* Update arg.cpp

* Refactor common_chat_* functions to accept minja template + use_jinja option

* Attempt to fix linkage of LLAMA_CHATML_TEMPLATE

* Revert LLAMA_CHATML_TEMPLATE refactor

* Normalize newlines in test-chat-templates for windows tests

* Forward decl minja::chat_template to avoid eager json dep

* Flush stdout in chat template before potential crash

* Fix copy elision warning

* Rm unused optional include

* Add missing optional include to server.cpp

* Disable jinja test that has a cryptic windows failure

* minja: fix vigogne (https://github.com/google/minja/pull/22)

* Apply suggestions from code review

Co-authored-by: Xuan Son Nguyen <thichthat@gmail.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

* Finish suggested renamings

* Move chat_templates inside server_context + remove mutex

* Update --chat-template-file w/ recent change to --chat-template

* Refactor chat template validation

* Guard against missing eos/bos tokens (null token otherwise throws in llama_vocab::impl::token_get_attr)

* Warn against missing eos / bos tokens when jinja template references them

* rename: common_chat_template[s]

* reinstate assert on chat_templates.template_default

* Update minja to b8437df626

* Update minja to https://github.com/google/minja/pull/25

* Update minja from https://github.com/google/minja/pull/27

* rm unused optional header

---------

Co-authored-by: Xuan Son Nguyen <thichthat@gmail.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2025-01-21 13:18:51 +00:00
ef6dada60c cont : fix whitespaces (#11305) 2025-01-20 09:29:32 +02:00
ae3c1db2f9 llama : re-add LLM_ARCH_PHIMOE (#11305)
Phi 3.5 MoE was partially removed during a refactor. The code was originally in llama.cpp and should be in llama-model.cpp after the refactor.
2025-01-20 09:21:01 +02:00
667d72846c rpc : early register backend devices (#11262)
Early register RPC devices and do not propagate RPC specifics in the
llama model structures.

ref: #10609
2025-01-17 10:57:09 +02:00
afa8a9ec9b llama : add llama_vocab, functions -> methods, naming (#11110)
* llama : functions -> methods (#11110)

* llama : add struct llama_vocab to the API (#11156)

ggml-ci

* hparams : move vocab params to llama_vocab (#11159)

ggml-ci

* vocab : more pimpl (#11165)

ggml-ci

* vocab : minor tokenization optimizations (#11160)

ggml-ci

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

* lora : update API names (#11167)

ggml-ci

* llama : update API names to use correct prefix (#11174)

* llama : update API names to use correct prefix

ggml-ci

* cont

ggml-ci

* cont

ggml-ci

* minor [no ci]

* vocab : llama_vocab_add_[be]os -> llama_vocab_get_add_[be]os (#11174)

ggml-ci

* vocab : llama_vocab_n_vocab -> llama_vocab_n_tokens (#11174)

ggml-ci

---------

Co-authored-by: Diego Devesa <slarengh@gmail.com>
2025-01-12 11:32:42 +02:00
ee7136c6d1 llama: add support for QRWKV6 model architecture (#11001)
llama: add support for QRWKV6 model architecture (#11001)

* WIP: Add support for RWKV6Qwen2

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* RWKV: Some graph simplification

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* Add support for RWKV6Qwen2 with cpu and cuda GLA

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* RWKV6[QWEN2]: Concat lerp weights together to reduce cpu overhead

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* Fix some typos

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* code format changes

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* Fix wkv test & add gla test

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* Fix cuda warning

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* Update README.md

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* Update ggml/src/ggml-cuda/gla.cu

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

* Fix fused lerp weights loading with RWKV6

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* better sanity check skipping for QRWKV6 in llama-quant

thanks @compilade

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>
Co-authored-by: compilade <git@compilade.net>

---------

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Co-authored-by: compilade <git@compilade.net>
2025-01-10 09:58:08 +08:00
f8feb4b01a model: Add support for PhiMoE arch (#11003)
* model: support phimoe

* python linter

* doc: minor

Co-authored-by: ThiloteE <73715071+ThiloteE@users.noreply.github.com>

* doc: minor

Co-authored-by: ThiloteE <73715071+ThiloteE@users.noreply.github.com>

* doc: add phimoe as supported model

ggml-ci

---------

Co-authored-by: ThiloteE <73715071+ThiloteE@users.noreply.github.com>
2025-01-09 11:21:41 +01:00
47182dd03f llama : update llama_model API names (#11063)
* llama : deprecate llama_free_model, add llama_model_free

ggml-ci

* llama : change `llama_load_model_from_file` -> `llama_model_load_from_file`

ggml-ci
2025-01-06 10:55:18 +02:00
727368c60f llama : use LLAMA_TOKEN_NULL (#11062)
ggml-ci
2025-01-06 10:52:15 +02:00
9394bbd484 llama : Add support for DeepSeek V3 (#11049)
* convert : extend DEEPSEEK2 model architecture to support DeepseekV3ForCausalLM by adding EXPERT_WEIGHTS_NORM and EXPERT_GATING_FUNC model parameters and FFN_EXP_PROBS_B tensor type

* vocab : add DeepSeek V3 pre-tokenizer regexes

* unicode : handle ACCENT_MARK and SYMBOL categories in regex

* llama : add DeepSeek V3 chat template, handle new model parameters and tensor types

---------

Co-authored-by: Stanisław Szymczyk <sszymczy@gmail.com>
2025-01-04 21:06:11 +01:00
46be942214 llama : add support for the cohere2 model architecture (#10900) 2025-01-04 16:33:31 +02:00
f66f582927 llama : refactor src/llama.cpp (#10902)
* llama : scatter llama.cpp into multiple modules (wip)

* llama : control-vector -> adapter

* llama : arch

* llama : mmap

ggml-ci

* ci : remove BUILD_SHARED_LIBS=OFF

ggml-ci

* llama : arch (cont)

ggml-ci

* llama : chat

ggml-ci

* llama : model

ggml-ci

* llama : hparams

ggml-ci

* llama : adapter

ggml-ci

* examples : fix

ggml-ci

* rebase

ggml-ci

* minor

* llama : kv cache

ggml-ci

* llama : impl

ggml-ci

* llama : batch

ggml-ci

* cont

ggml-ci

* llama : context

ggml-ci

* minor

* llama : context (cont)

ggml-ci

* llama : model loader

ggml-ci

* common : update lora

ggml-ci

* llama : quant

ggml-ci

* llama : quant (cont)

ggml-ci

* minor [no ci]
2025-01-03 10:18:53 +02:00