Commit Graph
8 Commits
Author SHA1 Message Date
NexesenexandGitHub c3b075f069 Chores : tidy up more typos project wide (ggml directory excluded), new -ptcall alias (#2237)
* common: fix coding mistakes (typos in identifiers, flags and log strings)

Fix misspelled identifiers and user-facing strings across common, server
and model loading:

- allow_ruless -> allow_rules (misspelled identifier used in the allowlist
  CLI parsing and the server slot/context code)
- get_formated_timings/get_formated_generation -> get_formatted_*
- 'termionated' -> 'terminated' in the fit-margin assert message
- 'defaulr' -> 'default' in the YAML dump
- 'overriden' -> 'overridden' in tensor buffer type override logs
- 'becausee' -> 'because' in the output-tensor split log
- 'etected NaNs' -> 'detected NaNs' in the imatrix error message

* common: fix comment typos across src, common, include and examples

Fix misspelled words in code comments:

- llama.h: 'typy' -> 'type', 'transfrom' -> 'transform', 'ecoder' ->
  'encoder', 'indicies' -> 'indices', 'Intializes' -> 'Initializes'
- common.h: 'embendings' -> 'embeddings', 'pr' -> 'or' in the
  fused-indexer-topk comment
- chat.cpp: 'overridde' -> 'override'
- ngram-map: 'occurences' -> 'occurrences', 'stastistics' -> 'statistics'
- speculative.cpp: 'dont'/'inehit' -> 'don't'/'inherit'
- llama-mmap.cpp: 'dont't' -> 'don't'
- llama-model.h: 'hcurrently andle' -> 'currently handle'
- build_gemma3/4.cpp: 'emdeddings' -> 'embeddings'
- examples: 'quantizuation', 'logprobe', 'throught', 'retrun', 'swich',
  'convinient', 'temporally' (-> 'temporary'), 'temproal', 'preceed'

* common: remove duplicate definitions and duplicate help entries

- clip-impl.h: drop the second, identical #define TN_FFN_GATE
- common.cpp: remove the duplicate '-t, --threads N' help entry that was
  misplaced in the export-lora section (already listed in the general
  section)
- common.cpp: merge the two 'embedding' help groups into a single group
  so the embedding options are listed together
- llama.cpp: remove the redundant LLAMA_MAX_LAYERS define (llama-hparams.h
  already defines the same value and is included by llama.cpp)

* common: fix remaining typos (accomodate, recommanded, occurences, occassionally)

- accomodate -> accommodate in src/llama.cpp comment
- recommanded -> recommended in quantize.cpp user-facing output
- occurences -> occurrences in test-chat.cpp JSON string
- occassionally -> occasionally in vendor/stb/stb_image_resize2.h comment

Note: tokenizer.ggml.seperator_token_id kept as-is to match GGUF spec

* common: remove duplicate help entries

- remove the duplicate '--reasoning-budget N' help entry that was repeated
  in the main section (introduced in e0596bf614 'Autoparser - complete
  refactoring of parser architecture (PR 1376)')
- remove the second '--parallel-tool-calls' help entry that advertised the
  '-ptc' short flag, which belongs to '--print-token-count' (introduced in
  e0596bf614 'Autoparser - complete refactoring of parser architecture
  (PR 1376)'); the '-ptc' alias was non-functional for '--parallel-tool-calls'
  because the parser only binds it to '--print-token-count'

The canonical help entries are kept:
- '--reasoning-budget N' is listed once
- '--parallel-tool-calls' is listed once (without the conflicting '-ptc' alias)

* common: remove duplicate LOG_ENABLE define

- the '#undef LOG_ENABLE / #define LOG_ENABLE() // dummy stub' pair was
  repeated verbatim inside the LOG_DISABLE_LOGS section
- remove the second occurrence (introduced in a2588b53e1 'main : log
  file (PR 2748)')

* llama-bench: align MLA and attention-max-batch flags with common tools

llama-bench used '--mla-attn' and '--attn-max-batch' while the common
CLI parsing (common/common.cpp) uses '--mla-use' and
'--attention-max-batch' for the same features. This made the flags
inconsistent across tools.

- update the help text to advertise the canonical names
  '--mla-use' and '--attention-max-batch'
- keep the old '--mla-attn' and '--attn-max-batch' spellings working
  as aliases so existing scripts are not broken

The divergent names were introduced in 3e536b95b0 'Add optional MLA
(PR 188)'.

* fix typos in comments and user-facing strings

- ngram-map.cpp: 'Do we haven a existing' -> 'Do we have an existing'
  (introduced in 1cb7e1bf39 'spec : add self speculative decoding,
  ngram and refactor (PR 1261)')
- build_mamba.cpp: 'weigth' -> 'weight' (introduced in 8befd92ea5
  'Refactor model compute graphs (PR 1651)')
- gguf-split.cpp: 'one of splits have 0 tensors' -> 'one of the splits
  has 0 tensors' (introduced in 75b580db0a 'split: allow
  --split-max-size option (PR 6343)')
- gguf-split.cpp: 'merged from %d split' -> 'merged from %d splits'
  (introduced in 1b5523dc79 'gguf-split: split and merge gguf per
  batch of tensors (PR 6135)')
- convert-llama2c-to-ggml.cpp: missing opening quote in the help line,
  '(default %s\\')' -> '(default '%s\\')' (introduced in bb9ebb4394
  'Adding support for llama2.c models (PR 2559)')

* harmonize British and American spelling to American English

The codebase uses American English (e.g. --embd-normalize, --color),
but a few strings/comments still used British spellings. Unify them:

- 'normalisation' -> 'normalization' in common.h, common.cpp help text
  and code comment, and llama-build-context.cpp comment
- 'colorise' -> 'colorize' in the --color help text (common.cpp)
- 'behaviour' -> 'behavior' in a chat.cpp warning and a llama.cpp comment
- also fix 'openai' -> 'OpenAI' capitalization in the embedding help
  text and common.h comment (embedding output format is OpenAI-style)

* common: fix help text formatting inconsistencies

- '-smf16'/'--split-mode-f16' and '-smf32'/'--split-mode-f32' help
  entries displayed hardcoded 'true'/'false' as the default value;
  show the actual state derived from params.reduce_type instead
- '-no-mmad' help entry had 'fused_mmad?' without a space before the
  ternary operator
- '--reasoning-tokens' help continuation lines used tab characters for
  indentation while the sibling '--reasoning-format' entry uses spaces;
  convert to consistent space indentation

* common: revert smf16/smf32 help text default display change

Revert the '-smf16'/'--split-mode-f16' and '-smf32'/'--split-mode-f32'
help entries back to their original hardcoded 'true'/'false' default
display. The change to derive the default from params.reduce_type was
not desired; the split-mode options are legacy and the hardcoded
defaults reflect their intended meaning.

The other formatting fixes in the same area (fused_mmad ternary
spacing and the reasoning-tokens tab-to-space indentation) are kept.

* llama-bench: fix help text column alignment

The --mla-use and --attention-max-batch help lines introduced by the
flag alignment landed one column off from the sibling entries
((default: at column 51 instead of 50). Adjust the padding so all
help lines align.

* common: fix help text defaults for graph-reduce-type and log-format

Mismatch 1: -grt, --graph-reduce-type help shows default "f32", but actual default (common.h:463) is "f16" and llama.cpp uses GGML_TYPE_F16.

Mismatch 2: --log-format help shows default "json", but actual default (common.h:536 log_json=false) is text.

* common: add -ptcall short flag for --parallel-tool-calls

* typo
2026-08-03 08:01:18 +03:00
fedb48fa74 mtmd: add MiniMax M3 vision support (#2086)
Co-authored-by: Smart <smart@augmented-special.services>
2026-07-12 07:19:14 +03:00
KawrakowandGitHub eaf83865a1 Vision support for Gemma4 (#1635)
* WIP: Gemma4 vision

Crashes on the GPU because of rms_norm requiring ne0 to be multiple
of warp_size.
Runs on the CPU, but produces garbage.

* Remove unnecessary assert in CUDA rms_norm

* GLU was not advertised as supported on CUDA

* Still not working

* This seems to work
2026-04-16 17:26:31 +02:00
KawrakowandGitHub 9b5785ad6b Gemma4 tokenizer fixes (#1603) 2026-04-09 15:33:28 +02:00
Samuel Oliveira AlvesandGitHub 51df09be8a Feat - add kimi 2.5 Vision (#1280)
* port kimi 25-vision  from upstream

* feat(clip): add support for Kimi K2.5 vision model
2026-02-19 08:15:03 +01:00
869557c8fd Update mtmd to improve accuracy of M-RoPE (#993)
* model : Granite docling + Idefics3 preprocessing (SmolVLM) (#16206)

* feat: Add granite-docling conversion using trillion pretokenizer

Branch: gabe-l-hart/GraniteDocling

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

* feat: Add granite-docling vocab pre enum

Branch: gabe-l-hart/GraniteDocling

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

* fix: Use granite-docling pre

Branch: gabe-l-hart/GraniteDocling

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

* feat: Add clip_is_idefics3

Branch: gabe-l-hart/GraniteDocling

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

* feat: Allow multi-token boundary sequences for image templating

Branch: gabe-l-hart/GraniteDocling

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

* feat: Add tiling support for idefices3 in clip.cpp

This should likely be moved into llava_uhd::get_slice_instructions, but for
now this avoids disrupting the logic there.

Branch: gabe-l-hart/GraniteDocling

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

* feat: Partial support for full templating for idefics3 in mtmd

There are still errors encoding some of the image chunks, but the token
sequence now matches transformers _almost_ perfectly, except for the double
newline before the global image which shows up as two consecutive newline
tokens instead of a single double-newline token. I think this is happening
because the blocks are tokenized separately then concatenated.

Branch: gabe-l-hart/GraniteDocling

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

* feat: Fully working image preprocessing for idefics3 w/ resize and slicing

Branch: gabe-l-hart/GraniteDocling

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

* feat: Parse the preprocessor config's longest side and add it to the mmproj hparams

Branch: GraniteDocling

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

* fix: Use the longest side instead of size * scale_factor

For Granite Docling, these come out to the same value, but that was just a
conicidence.

Branch: GraniteDocling

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

* fix: Allow batch encoding and remove clip_is_idefics3

Branch: GraniteDocling

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

* refactor: Remove unnecessary conditionals for empty token vectors

Branch: GraniteDocling

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

* refactor: Use image_manipulation util

Branch: GraniteDocling

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

* add test model

---------

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>
Co-authored-by: Xuan Son Nguyen <son@huggingface.co>
# Conflicts:
#	convert_hf_to_gguf.py
#	convert_hf_to_gguf_update.py
#	gguf-py/gguf/constants.py
#	gguf-py/gguf/gguf_writer.py
#	src/llama-vocab.cpp
#	src/llama-vocab.h

* mtmd : support home-cooked Mistral Small Omni (#14928)

* model : add LightOnOCR-1B model (#16764)

* model : add LightOnOCR-1B model

* add test
# Conflicts:
#	convert_hf_to_gguf.py
#	gguf-py/gguf/constants.py

* mtmd : fix idefics3 preprocessing (#16806)

* mtmd : fix idefics3 preprocessing

* disable granite test

* fix test for granite

* model: Add support for CogVLM model (#15002)

* Added GGUF mappings for CogVLM model

* Add tensor mapping for CogVLM visual encoder

* Add CogVLM to conversion script, no vision part yet

* Added CogVLM vision model to conversion script

* Add graph for CogVLM CLIP model

* Add graph for CogVLM

* Fixes for CogVLM. Now compiles.

* Model now runs

* Fixes for cogvlm graph

* Account for graph context change after rebase

* Changes for whitespace

* Changes in convert script according to comments

* Switch CogVLM LLM graph to merged QKV tensor

* Use rope_type variable instead of direct definition

* Change CogVLM CLIP encoder to use SWIGLU

* Switch CogVLM CLIP to use merged QKV

* Apply rebase edits and remove ggml_cont call that is now unnecessary

* clean up

---------

Co-authored-by: Xuan Son Nguyen <son@huggingface.co>
# Conflicts:
#	convert_hf_to_gguf.py
#	examples/mtmd/clip.cpp
#	gguf-py/gguf/constants.py
#	gguf-py/gguf/tensor_mapping.py
#	src/llama-arch.cpp
#	src/llama-arch.h
#	src/llama-model.cpp
#	src/llama-model.h

* mtmd: refactor preprocessing + support max/min pixels (#16878)

* mtmd: refactor preprocessing + support max/min pixels

* fix mlp type

* implement mix/max pixels

* improve hparams

* better image preproc for qwen

* fix

* fix out of bound composite

* fix (2)

* fix token calculation

* get_merge_kernel_size()

* fix llama4 and lfm2

* gonna fix them all

* use simple resize for qwen

* qwen: increase min tokens

* no resize if dst size == src size

* restore to initial min/max tokens value for qwen
# Conflicts:
#	examples/mtmd/clip.cpp

* clip : use FA (#16837)

* clip : use FA

* cont : add warning about unsupported ops

* implement "auto" mode for clip flash attn

* clip : print more detailed op support info during warmup

* cont : remove obsolete comment [no ci]

* improve debugging message

* trailing space

* metal : remove stray return

---------

Co-authored-by: Xuan Son Nguyen <son@huggingface.co>

* model: add Janus Pro for image understanding (#16906)

* Add support for Janus Pro

* Update gguf-py/gguf/tensor_mapping.py

Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>

* Update gguf-py/gguf/tensor_mapping.py

Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>

* Address reviewer suggestions

Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>

* Add JANUS_PRO constant

* Update clip model handling

Co-authored-by: Xuan-Son Nguyen <son@huggingface.co>

* Update tools/mtmd/clip.cpp

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

* Refactor JANUS_PRO handling in clip.cpp

Co-authored-by: Xuan-Son Nguyen <son@huggingface.co>

* Update tools/mtmd/clip.cpp

Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>

* em whitespace

---------

Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
Co-authored-by: Xuan-Son Nguyen <son@huggingface.co>
Co-authored-by: Xuan-Son Nguyen <thichthat@gmail.com>
# Conflicts:
#	convert_hf_to_gguf.py
#	gguf-py/gguf/constants.py
#	gguf-py/gguf/tensor_mapping.py

* mtmd: pad mask for qwen2.5vl (#16954)

* mtmd: pad mask for qwen2.5vl

* improve

* mtmd: add --image-min/max-tokens (#16921)

* mtmd: improve struct initialization (#16981)

* mtmd: allow QwenVL to process larger image by default (#17020)

* Disable flash attention

* mtmd : fix embedding size for image input (#17123)

* mtmd: fix patch_size initialized to random value in audio models (#17128)

* mtmd: fix patch_size initialized to random value in audio models

* add default hparams

* add llama_model_n_embd_inp

* Fix load qwen3 vl

Change batch size

* Add description

* Fix cli build error

---------

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>
Co-authored-by: Gabe Goodhart <ghart@us.ibm.com>
Co-authored-by: Xuan Son Nguyen <son@huggingface.co>
Co-authored-by: Tianyue-Zhao <zhaotianyue@outlook.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Co-authored-by: Zhiyong Wang <85110830+ravenouse@users.noreply.github.com>
Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
Co-authored-by: Xuan-Son Nguyen <thichthat@gmail.com>
Co-authored-by: firecoperana <firecoperana>
2025-11-29 07:27:15 +01:00
Thireus ☠andGitHub 86597623a5 Port of Qwen3-VL support from mainline (#883)
* Port of Qwen3-VL for latest ik_llama.cpp

- convert_hf_to_gguf.py - Not touched, use llama.cpp to convert model instead
- sysl and metal support for imrope not added
- Vulkan support for imrope not tested
- Code not tested

* Bugfix n_embd was declared multiple times

https://github.com/ikawrakow/ik_llama.cpp/pull/883#issuecomment-3471179655

* Fix n_embd issue with qwen3vl

* model.output tensor not required

https://github.com/ikawrakow/ik_llama.cpp/pull/883#discussion_r2480388389

* Improved logic for qkv combined tensors

https://github.com/ikawrakow/ik_llama.cpp/pull/883/files/59ceaf8fcbaf28b29c96d7afb04c526e5c82c2fd#r2480395800
https://github.com/ikawrakow/ik_llama.cpp/pull/883/files/59ceaf8fcbaf28b29c96d7afb04c526e5c82c2fd#r2480398187

* Fix n_embd for merge_qkv() + cleaner code

https://github.com/ikawrakow/ik_llama.cpp/pull/883#discussion_r2481227395

* Revert TENSOR_NOT_REQUIRED
2025-11-04 19:20:54 +02:00
c1a0e15377 Port mdmd from mainline + Qwen2/2.5-VL support (#798)
* Add mtmd: the beginning

* Add mtmd: mtmd.cpp compiles

* Add mtmd: clip initialization compiles

* Add mtmd: clip.cpp compiles

* Add mtmd: builds successfully

* Add CPU implementation for GGML_OP_GLU

* Add CUDA implementation for GGML_OP_GLU

* Add CPU implementation for GGML_OP_CONV_2D and GGML_OP_CONV_2D_DW

* Add CUDA implementation for GGML_OP_CONV_2D and GGML_OP_CONV_2D_DW

* Add mtmd: refresh CPU rope

* Add mtmd: refresh CUDA rope

* Add mtmd: add Qwen2-VL

* Add mtmd: Qwen2.5-VL text seems to work with this change

* Add mtmd: fix swiglu

* Add mtmd: use LOG_TEE so generated tokens show up in terminal

* Add mtmd: do not attempt to load a GPU backend if none are available

* GLU, not GPU

* Fix typo

* Fix new/free mismatch

* LOG stuff

* Add mtmd: this fixes gibberish on second image

---------

Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
2025-09-27 08:45:29 +02:00