8846aace49
model : gemma3n text-only ( #14400 )
...
* gemma3n
* add llm_graph_input_one
2025-06-26 20:34:02 +03:00
9ae4143bc6
model : add dots.llm1 architecture support ( #14044 ) ( #14118 )
...
Adds:
* Dots1Model to convert_hf_to_gguf.py
* Computation graph code to llama-model.cpp
* Chat template to llama-chat.cpp to detect this model's template.
---
The model is called "dots.llm1" (I decided to shorten it to dots1 or
DOTS1 in the code generally) architecture.
The only models that exist as of writing of this commit that follow this
architecture are "dots.llm1.inst" and "dots.llm1.base" from here:
* https://huggingface.co/rednote-hilab/dots.llm1.inst
* https://huggingface.co/rednote-hilab/dots.llm1.base
The model architecture is a combination of Qwen and Deepseek parts, as
seen here:
ffe12627b4/src/transformers/models/dots1/modular_dots1.py
2025-06-15 09:52:06 +02:00
d17a809ef0
llama : support multiple classifier outputs and labels ( #13940 )
2025-06-06 09:03:25 +02:00
e298d2fbd0
kv-cache : add SWA support ( #13194 )
...
* kv-cache : prepare for SWA
ggml-ci
* kv-cache : initial iSWA implementation
ggml-ci
* kv-cache : rework error recovery logic
ggml-ci
* models : fix Phi-3 SWA parameters
ggml-ci
* model : adjust Granite to rope factor changes
ggml-ci
* server : check if context can do shifts
ggml-ci
* iswa : for now, always enable shifts (experiment)
ggml-ci
* kv-cache : simplify SWA logic
ggml-ci
* kv-cache : apply defrag when we fail to find slots for the batch
ggml-ci
* llama : update docs about llama_decode
ggml-ci
* kv-cache : update warning logs when no space for the batch is available
ggml-ci
* llama : add llama_kv_self_seq_pos_min()
* kv-cache : keep track of partial SWA computes and print warnings
* server : disallow use cases involving partial SWA context
ggml-ci
* llama : add param to control SWA cache size
ggml-ci
* minor : clean-up
ggml-ci
2025-05-20 08:05:46 +03:00
10d2af0eaa
llama/ggml: add LLM training support ( #10544 )
...
* 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
3bf785f3ef
llama : Llama-3_1-Nemotron-Ultra-253B-v1 support ( #12843 )
2025-05-03 17:39:51 +02:00
c642bc014c
kv-cache : separate recurrent vs non-recurrent impl ( #12799 )
...
* kv-cache : serparate recurrent vs non-recurrent impl (wip)
ggml-ci
* kv-cache : init -> contructor + add llama_memory_params
ggml-ci
* kv-cache : fix callback reference
ggml-ci
* context : llama_kv_cache -> llama_memory_i
ggml-ci
* context : move memory creation logic to model
ggml-ci
* llama : remove reference of memory during encode
ggml-ci
* kv-cache : hide padding details in the implementation
ggml-ci
* kv-cache : add ubatch_next()
ggml-ci
* context : simplify sbatch logic
ggml-ci
* kv-cache : hide defrag logic in the implementation
ggml-ci
* context : hide kv cache details in implementation
ggml-ci
* build : fix
ggml-ci
* cont : another fix
ggml-ci
* kv-cache : simplify interface (wip)
ggml-ci
* kv-cache : use separate KV cell structs for unified/recurrent
ggml-ci
* kv-cache : clean-up
ggml-ci
* model : better llama_model::create_model() signature
ggml-ci
* kv-cache : fix recurrent seq_rm()
ggml-ci
* kv-cache : replace `struct callbacks` with `llama_model &`
ggml-ci
* kv-cache : replace `struct graph_params` with `llama_context &`
ggml-ci
* kv-cache : fix offload check
ggml-ci
* context : avoid passing unique_ptr
ggml-ci
* kv-cache : avoid using the backends from the llama_context
ref #13113
ggml-ci
* kv-cache : more consistent debug logs [no ci]
* kv-cache : do not pass the full llama_context for kv graphs
ggml-ci
* kv-cache : remove comment
* kv-cache : ggml_rope_ext_inplace -> ggml_rope_ext
ggml-ci
* kv-cache : fix recurrent multi-user case
ggml-ci
* memory : remove comments [no ci]
2025-05-02 17:48:36 +03:00
a70183eb00
llama-model : fix the reported size class for nomic-embed-text-v2-moe ( #13223 )
2025-05-01 10:09:41 +03:00
7d3af70b08
llama : llm_type order by size ( #13177 )
2025-04-29 13:25:53 +02:00
e98b3692be
llama : set qwen3 model type sizes ( #13175 )
2025-04-29 11:00:31 +02:00
daa422881a
llama : DeepSeek V2/V3 MLA implementation ( #12801 )
...
* Merged using squash to remove all noise commit messages
* Force flash attention off for `LLM_ARCH_DEEPSEEK2` - embedding too large
* Removed 3 conts (2x RoPE and 1x RMS-norm)
* Changed to use `<cmath>` instead of `<math.h>`
* Reverted removal of the 3 conts
* Used `reshape` in `llm_graph_context::build_attn_mha()`
* Use `k_pe = ggml_reshape`
* Removed the 3 conts again
* Removed the 3D views of `wk_b` and `wv_b`, and just save and 3D in GGUF
* Removed MQA optimisation from `build_attn_mha()` as no gains now
* Simplified `is_mla` branch in `llm_build_deepseek2()`
* Removed `build_attn_mla` and added `nullptr` to all `build_atnn` calls
* Fixed call to `build_attn` in `llm_build_t5_enc`
2025-04-15 09:49:57 +03:00
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
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
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
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
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
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
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
