Georgi Gerganov
8a1d206f1d
tts : fix n_ubatch + make WavTokenizer cache-less ( #13713 )
...
ggml-ci
2025-05-22 22:21:07 +03:00
Georgi Gerganov
8e186ef0e7
hparams : support models for which all layers use SWA ( #13682 )
...
ggml-ci
2025-05-21 20:00:49 +03:00
Georgi Gerganov
797f2ac062
kv-cache : simplify the interface ( #13660 )
...
* kv-cache : simplify the interface
ggml-ci
* context : revert llama_batch_allocr position change
ggml-ci
2025-05-21 15:11:13 +03:00
Georgi Gerganov
b44890df2e
model : disable SWA for Phi models ( #13676 )
...
* model : disable SWA for Phi models
ggml-ci
* model : update warning message
* model : print warning only if n_swa > 0
* model : fix typo
2025-05-21 13:09:21 +03:00
Georgi Gerganov
be0239693c
model : fix llama4 graph ( #13663 )
...
ggml-ci
2025-05-20 19:21:04 +03:00
Georgi Gerganov
a4090d1174
llama : remove llama_kv_cache_view API + remove deprecated ( #13653 )
...
ggml-ci
2025-05-20 16:13:16 +03:00
0cc4m
c9c64dee57
Set GLM4 blk.*.attn_output.weight, kqv_out-* matmul to GGML_PREC_F32 to fix infinity values in output ( #13639 )
2025-05-20 10:11:56 +02:00
Georgi Gerganov
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
Diego Devesa
5364ae4ba5
llama : print hint when loading a model when no backends are loaded ( #13589 )
2025-05-16 16:38:07 +02:00
Diego Devesa
c6a2c9e741
gguf : use ggml log system ( #13571 )
...
* gguf : use ggml log system
* llama : remove unnecessary new lines in exception messages
2025-05-15 19:13:11 +02:00
Georgi Gerganov
e3a9421b78
kv-cache : fix out-of-bounds view during reserve graph ( #13547 )
...
* kv-cache : fix reserve graph out-of-bounds access
ggml-ci
* cont : add comment
* cont : fix comments [no ci]
* cont : more correct comment [no ci]
2025-05-14 23:15:15 +03:00
Sigbjørn Skjæret
f5170c1d7a
editorconfig : fix trailing whitespace from #13542 ( #13546 )
2025-05-14 21:22:49 +03:00
Gilad S.
017f10b5fa
fix: crash when calling llama_state_get_size on a context without a KV cache ( #13542 )
2025-05-14 19:18:18 +03:00
Diego Devesa
b7d2672082
llama : fix quantize with dl backends ( #13539 )
2025-05-14 16:12:36 +02:00
Gabe Goodhart
5e7d95e22e
fix: Move build_inp_pos to the top of the graph section for build_granite ( #13538 )
...
This matches how others do it, but will still avoid the extra
initialization when rope is disabled.
Branch: GraniteFour
Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>
2025-05-14 15:53:59 +03:00
Ed Addario
e5c834f718
quantize : improve tensor-type pattern matching ( #13033 )
2025-05-13 19:12:31 +02:00
Gabe Goodhart
d590cd4c24
model : Granite MoE shared ( #13269 )
...
* feat: Add GGUF conversion for granitemoeshared
Branch: GraniteMoEShared
Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>
* feat: hparam and arch plumbing for granitemoeshared
Branch: GraniteMoEShared
Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>
* fix: Split MoE fused tensors for shared experts in conversion
Branch: GraniteMoEShared
Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>
* feat: First WIP cut at model arch in cpp
The hparam and architecture plumbing should be correct, but the
implementation of the shared experts seems to still be broken.
Branch: GraniteMoEShared
Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>
* fix: Cleaner (maybe more correct?) splitting for gate/up
Branch: GraniteMoEShared
Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>
* fix: Fix the input to the shared experts
I had misread that the shared experts take the inputs _before_ the standard
MoE layer and was feeding the output of the MoE to the shared experts.
Branch: GraniteMoEShared
Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>
* fix: Avoid architecture-specific checks for Granite MoE Shared
This is a cleaner way that will allow more flexibility in architecture
strings going forward.
Branch: GraniteMoEShared
Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>
* refactor: Split granite architectures out of llm_build_llama
This helps de-clutter the llama-family graph construction and allows
granite to diverge further (in preparation for Granite 4).
NOTE: I removed the granite scale factors from llm_build_deci because they
appear to only be there as copy-paste from llm_build_llama. The HF config
does not seem to set those values:
https://huggingface.co/Deci/DeciLM-7B/blob/main/config.json
Branch: GraniteMoEShared
Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>
* fix: Fix compiler warning about uninitialized inp_pos
This should not have been reachable, but it warns on some compliers
Branch: GraniteMoEShared
Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>
* fix: Consoladate GraniteMoEShared into GraniteMoE for conversion
Branch: GraniteMoEShared
Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>
* fix: Consolidate GraniteMoEShared into GraniteMoE on the c++ side
Branch: GraniteMoEShared
Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>
---------
Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>
2025-05-13 15:12:01 +02:00
Johannes Gäßler
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
Georgi Gerganov
064cc596ac
context : fix state io for memory-less contexts ( #13470 )
...
ggml-ci
2025-05-12 15:12:27 +03:00
David Huang
7f323a589f
Add --no-op-offload to improve -ot pp perf in MoE models like llama4 400B ( #13386 )
2025-05-11 14:18:39 +02:00
Sigbjørn Skjæret
d2a4ef05c6
vocab : add ByteDance-Seed/Seed-Coder ( #13423 )
2025-05-10 22:08:07 +02:00
Johannes Gäßler
0cf6725e9f
CUDA: FA support for Deepseek (Ampere or newer) ( #13306 )
...
* CUDA: FA support for Deepseek (Ampere or newer)
* do loop unrolling via C++ template
2025-05-09 13:34:58 +02:00
Diego Devesa
27ebfcacba
llama : do not crash if there is no CPU backend ( #13395 )
...
* llama : do not crash if there is no CPU backend
* add checks to examples
2025-05-09 13:02:07 +02:00
Xuan-Son Nguyen
3f96aeff39
llama : one-off chat template fix for Mistral-Small-2503 ( #13398 )
...
* llama : one-off chat template fix for Mistral-Small-2503
* update readme
* add mistral-v7-tekken
2025-05-09 11:17:51 +02:00
Georgi Gerganov
6562e5a4d6
context : allow cache-less context for embeddings ( #13108 )
...
* context : allow cache-less context for embeddings
ggml-ci
* context : enable reranking with encode()
ggml-ci
* context : encode() clears embd_seq
ggml-ci
* examples : use llama_encode() when appropriate
ggml-ci
* models : nomic bert moe does not require KV cache
* llama : update comments for llama_decode/llama_encode
ggml-ci
* context : update warning log [no ci]
2025-05-08 14:28:33 +03:00
Georgi Gerganov
51fb96b1ff
context : remove logits_all flag ( #13284 )
...
* context : remove logits_all flag
ggml-ci
* llama : remove logits_all flag + reorder llama_context_params
ggml-ci
2025-05-08 14:26:50 +03:00
Diego Devesa
f061021206
llama : print size and type of overridden tensors ( #13364 )
2025-05-08 13:15:15 +02:00
Sigbjørn Skjæret
bc4e1128f7
llama : deci : support ffn-free with attention ( #13296 )
2025-05-07 12:49:27 +02:00
piDack
6c7fd67b64
llama : support tie embedding for chatglm models ( #13328 )
2025-05-07 09:23:11 +02:00
DocShotgun
ffc727203a
sampling : make top_n_sigma no-op at <=0 or a single candidate ( #13345 )
2025-05-06 22:36:24 +02:00
oobabooga
91a86a6f35
sampling : don't consider -infinity values in top_n_sigma ( #13344 )
2025-05-06 20:24:15 +02:00
Xuan-Son Nguyen
2f54e348ad
llama : fix build_ffn without gate ( #13336 )
...
* llama : fix build_ffn without gate
* fix build on windows
* Revert "fix build on windows"
This reverts commit fc420d3c7eef3481d3d2f313fef2757cb33a7c56.
2025-05-06 14:25:40 +02:00
oobabooga
233461f812
sampling : Integrate Top-nσ into main sampling chain (and add it to the server) ( #13264 )
...
* sampling: add Top-nσ sampler to `llama-server` and sampler ordering
* revert: sampler ordering
* revert: VS' crappy auto-formatting
* revert: VS' crappy auto-formatting pt.2
* revert: my crappy eye sight...
* sampling: add XTC to Top-nσ sampler chain
* sampling: add Dyna. Temp. to Top-nσ sampler chain
* sampling: actually remove Top-nσ from sampler(oops)
* Integrate top_n_sigma into main sampler chain
* Define COMMON_SAMPLER_TYPE_TOP_N_SIGMA
* Formatting
* Lint
* Exit early in the sampler if nsigma < 0
---------
Co-authored-by: CasualAutopsy <casual_autopsy@outlook.com>
2025-05-05 22:12:19 +02:00
ymcki
3bf785f3ef
llama : Llama-3_1-Nemotron-Ultra-253B-v1 support ( #12843 )
2025-05-03 17:39:51 +02:00
Georgi Gerganov
a75cb30dc9
context : fix reorder logic ( #13267 )
...
ggml-ci
2025-05-02 20:54:13 +03:00
Jared Van Bortel
2f567611c0
llama-model : support Qwen2 embedding models and pooling_mode_lasttoken ( #13245 )
2025-05-02 11:42:30 -04:00
Georgi Gerganov
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
Sigbjørn Skjæret
cb06a3c363
llama : orion rope type is neox ( #13261 )
2025-05-02 12:44:24 +02:00
Sigbjørn Skjæret
626083faf7
llama : plamo rope type is neox ( #13260 )
2025-05-02 12:40:56 +02:00
piDack
2af6880178
llama-chat : reset glmedge chat template ( #13253 )
...
* reset glmedge chat template
* fix glmedge chat template
2025-05-02 11:06:09 +02:00
matteo
e0f572c846
llama-chat : update GLM4 chat template ( #13238 )
...
* update GLM4 chat template
* Update chat template
Co-authored-by: Xuan-Son Nguyen <thichthat@gmail.com>
---------
Co-authored-by: Xuan-Son Nguyen <thichthat@gmail.com>
2025-05-01 21:16:38 +02:00
Jared Van Bortel
a70183eb00
llama-model : fix the reported size class for nomic-embed-text-v2-moe ( #13223 )
2025-05-01 10:09:41 +03:00
ddh0
16a457facd
fix typo: n_ctx_pre_seq -> n_ctx_per_seq ( #13221 )
2025-04-30 21:28:43 +01:00
Georgi Gerganov
d9d398f84f
sampling : when top-k <= 0 -> noop ( #13173 )
...
ggml-ci
2025-04-29 20:22:57 +03:00
Johannes Gäßler
cdf76586b2
CUDA: fix non-cont. inputs for batched mat mul ( #13155 )
2025-04-29 16:00:27 +02:00
Sigbjørn Skjæret
7d3af70b08
llama : llm_type order by size ( #13177 )
2025-04-29 13:25:53 +02:00
Sigbjørn Skjæret
e98b3692be
llama : set qwen3 model type sizes ( #13175 )
2025-04-29 11:00:31 +02:00
Xuan-Son Nguyen
b6ce7430b7
llama-graph : fix text position for mrope ( #13159 )
...
* llama-graph : fix text position for mrope
* fix typo
* explicitly set 4th dim in the loop
2025-04-29 09:45:49 +03:00
AT
5f5e39e1ba
model : Nomic Embed Text V2 with Mixture-of-Experts (MoE) architecture ( #12466 )
...
* Nomic Embed Text V2 with Mixture-of-Experts (MoE) architecture
- Adds MoE-based embedding model supporting multilingual embeddings.
- Selects architecture variant based on hyperparameter detection (MoE layers).
- Removes unnecessary subclass initialization checks for clarity.
https://www.nomic.ai/blog/posts/nomic-embed-text-v2
Co-authored-by: Jared Van Bortel <jared@nomic.ai>
* fix tokenizer
* don't rename this tensor
---------
Co-authored-by: Jared Van Bortel <jared@nomic.ai>
2025-04-28 22:52:15 +03:00
Xuan-Son Nguyen
4e87962e34
mtmd : fix glm-edge redundant token count ( #13139 )
...
* mtmd : fix glm-edge redundant token count
* fix chat template
* temporary disable GLMEdge test chat tmpl
2025-04-28 16:12:56 +02:00
