Daniel Bevenius
444f00b0ec
llama : remove quantization sanity check ( #17788 )
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* llama : remove quantization sanity check
This commit removes the quantization sanity check for attention layers.
The motivation for this is that there are model that are hybrid models
that have recurrent layers, experts layers, and attention layers. For
these models the current check fails as the experts layers are not
taking into account. After consideration, it was decided that this check
is not strictly necessary, and can be removed to allow for more flexible
model architectures.
* llama : remove unused pruned_attention_w and is_clip_model vars
2025-12-06 12:26:20 +01:00
Georgi Gerganov
a67ef0f47f
llama : fix sanity checks during quantization ( #17721 )
2025-12-04 10:33:42 +02:00
ff55414c42
model : Qwen3 Next ( #16095 )
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* Qwen3 Next - cleaned up version
* Whitespaces and stuff
* Correct minor errors
* Update src/llama-model.cpp
Co-authored-by: Sigbjørn Skjæret <[email protected] [email protected] [email protected] [email protected]
2025-11-28 12:02:56 +01:00
Jan Boon
d7395115ba
llama : use std::abs instead of abs ( #16853 )
2025-10-30 08:30:58 +02:00
Xuan-Son Nguyen and Georgi Gerganov
3e3cb19f64
llama-quant: add support for mmproj ( #16592 )
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* llama-quant: add support for mmproj
* Update src/llama.cpp
Co-authored-by: Georgi Gerganov <[email protected] [email protected]
2025-10-15 14:48:08 +02:00
Jie Fu (傅杰)
745cbcf2fe
llama-quant : fix the verification of attention layers for encoder-decoder models ( #16023 )
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Signed-off-by: Jie Fu <[email protected]
2025-09-17 09:30:55 +02:00
ddh0
df082f5630
nitpick : correct MB to MiB ( #15934 )
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MB was incorrectly used for 1024 x 1024 bytes instead of MiB
2025-09-11 19:12:34 +02:00
Xuan-Son Nguyen
50aa938901
convert : support non-mxfp4 HF model ( #15153 )
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* convert : support non-mxfp4 HF model
* rm redundant check
* disable debug check
2025-08-07 23:26:03 +02:00
fd1234cb46
llama : add gpt-oss ( #15091 )
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* oai moe
* compat with new checkpoint
* add attn sink impl
* add rope scaling yarn
* logits match with latest transformers code
* wip chat template
* rm trailing space
* use ggml_scale_bias
* rm redundant is_swa_all
* convert interleaved gate_up
* graph : fix activation function to match reference (#7 )
* vocab : handle o200k_harmony special tokens
* ggml : add attention sinks support (#1 )
* llama : add attn sinks
* ggml : add attn sinks
* cuda : add attn sinks
* vulkan : add support for sinks in softmax
remove unnecessary return
* ggml : add fused swiglu_oai op (#11 )
* ggml : add fused swiglu_oai op
* Update ggml/src/ggml-cpu/ops.cpp
Co-authored-by: Georgi Gerganov <[email protected] [email protected] [email protected] [email protected] #6 )
metal : remove quantization for now (not used)
cuda : fix disabled CUDA graphs due to ffn moe bias
vulkan : add support for mxfp4
cont : add cm2 dequant
* ggml : add ggml_add_id (#13 )
* ggml : add ggml_add_id
* add cuda impl
* llama : add weight support check for add_id
* perf opt
* add vulkan impl
* rename cuda files
* add metal impl
* allow in-place ggml_add_id
* llama : keep biases on CPU with --cpu-moe
* llama : fix compile error
ggml-ci
* cuda : add fallback for __nv_cvt_e8m0_to_bf16raw
ggml-ci
* cleanup
ggml-ci
* sycl : fix supports_op for MXFP4
ggml-ci
* fix Unknown reasoning format
* ggml-cpu : fix AVX build
ggml-ci
* fix hip build
ggml-ci
* cuda : add mxfp4 dequantization support for cuBLAS
ggml-ci
* ggml-cpu : fix mxfp4 fallback definitions for some architectures
ggml-ci
* cuda : fix version required for __nv_cvt_e8m0_to_bf16raw
---------
Co-authored-by: Xuan Son Nguyen <[email protected] [email protected]
2025-08-05 22:10:36 +03:00
Ed Addario
daf2dd7880
quantize : skip tensor override when in fallback mode ( #14995 )
2025-07-31 21:32:18 +02:00
Ed Addario
982e347255
quantize : fix minor logic flaw in --tensor-type ( #14572 )
2025-07-13 18:02:17 +02:00
Tarek Dakhran
f5e96b368f
model : support LiquidAI LFM2 hybrid family ( #14620 )
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**Important**
LFM2 was [merged ](https://github.com/huggingface/transformers/pull/39340 )into transformers, but has not yet been released.
To convert into gguf, install transformers from source
```shell
pip install "transformers @ git+https://github.com/huggingface/transformers.git@main "
```
2025-07-11 20:27:01 +02:00
Xuan-Son Nguyen
8846aace49
model : gemma3n text-only ( #14400 )
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* gemma3n
* add llm_graph_input_one
2025-06-26 20:34:02 +03:00
Ed Addario
fa4a9f2a1c
quantize : handle user-defined pruning of whole layers (blocks) ( #13037 )
2025-06-22 23:16:26 +02:00
Ed Addario
30e5b01de2
quantize : change int to unsigned int for KV overrides ( #14197 )
2025-06-15 18:53:45 +02:00
Ed Addario
e5c834f718
quantize : improve tensor-type pattern matching ( #13033 )
2025-05-13 19:12:31 +02:00
Johannes Gäßler
10d2af0eaa
llama/ggml: add LLM training support ( #10544 )
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* llama/ggml: add LLM training support
more compact progress bar
llama_save_model_to_file
llama_opt_param_filter
ggml_graph_dup force_grads
refactor ggml_opt, fix test-opt
* remove logits_all
* refactor CUDA implementation for ACC
* reset graph at beginning of opt period
2025-05-12 14:44:49 +02:00
Ed Addario
71e90e8813
quantize: Handle user-defined quantization levels for additional tensors ( #12511 )
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* Add llama_model_quantize_params parameters
* Add new quantize parameters parsing and validation
* Update usage
* Add new parameters defaults
* Add new quantization parameters logic
* Add llama_model_quantize_params parameters
* Add new quantize parameters parsing and validation
* Update usage
* Add new parameters defaults
* Add new quantization parameters logic
* Minor refactoring as per the contributors' coding guidelines
* Update descriptions to match existing style
* Add llama_model_quantize_params parameters
* Add new quantize parameters parsing and validation
* Update usage
* Add new parameters defaults
* Add new quantization parameters logic
* Minor refactoring as per the contributors' guidelines
* Implement general --tensor-type instead of tensor-specific command option
* Fix implied type bug
* Restore missing #includes
* Add regex capability for tensor selection
* Refactor function name and update ALLOWED_TENSOR_TYPE
* Add missing #include
* Handle edge case when tensor name is cls.output
* Minor logging improvement
2025-04-13 21:29:28 +03:00
Diego Devesa
e0e912f49b
llama : add option to override model tensor buffers ( #11397 )
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* llama : add option to override tensor buffers
* ggml : fix possible underflow in ggml_nbytes
2025-04-02 14:52:01 +02:00
Molly Sophia
7dfad387e3
llama: Add support for RWKV v7 architecture ( #12412 )
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* ggml: Add op l2_norm
Signed-off-by: Molly Sophia <[email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected]
2025-03-18 07:27:50 +08:00
Xuan Son Nguyen
681149ced2
llama : add llama_model_load_from_splits ( #11255 )
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* llama : add `llama_model_load_from_splits`
* update
2025-01-16 13:54:08 +01:00
Georgi Gerganov and Diego Devesa
afa8a9ec9b
llama : add llama_vocab, functions -> methods, naming ( #11110 )
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* 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 <[email protected] #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 <[email protected]
2025-01-12 11:32:42 +02:00
ee7136c6d1
llama: add support for QRWKV6 model architecture ( #11001 )
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llama: add support for QRWKV6 model architecture (#11001 )
* WIP: Add support for RWKV6Qwen2
Signed-off-by: Molly Sophia <[email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected]
2025-01-10 09:58:08 +08:00
Georgi Gerganov
c07d437bbd
llama : avoid hardcoded QK_K ( #11061 )
...
ggml-ci
2025-01-08 16:19:36 +02:00
Johannes Gäßler
53ff6b9b9f
GGUF: C++ refactor, backend support, misc fixes ( #11030 )
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* GGUF: C++ refactor, backend support, misc fixes
remove ggml_tensor.backend
update CODEOWNERS [no ci]
remove gguf_get_data from API
revise GGUF API data types
2025-01-07 18:01:58 +01:00
Georgi Gerganov
5047dd3546
llama : use _impl suffix instead of _internal ( #11060 )
...
ggml-ci
2025-01-06 10:52:01 +02:00
Georgi Gerganov
f66f582927
llama : refactor src/llama.cpp ( #10902 )
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* 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
Daniel Bevenius
Georgi Gerganov
Jan Boon
Xuan-Son NguyenandGeorgi Gerganov
Jie Fu (傅杰)
ddh0
Ed Addario
Tarek Dakhran
Johannes Gäßler
Molly Sophia
Xuan Son Nguyen
