Sigbjørn Skjæret
e83ba3e460
llama : add support for jina-reranker-v2 ( #13900 )
2025-05-29 21:42:31 +02:00
Sigbjørn Skjæret
6385b843a8
llama : add RobertaForSequenceClassification reranker support ( #13875 )
2025-05-29 08:15:01 +02:00
Xuan-Son Nguyen
763d06edb7
llama : fix KV shift for qwen2vl ( #13870 )
...
* llama : fix KV shift for qwen2vl
* add ref to the PR
2025-05-28 22:35:31 +02:00
Đinh Trọng Huy
e0e3aa231d
llama : add support for BertForSequenceClassification reranker ( #13858 )
...
* convert: add support for BertForSequenceClassification
* add support for reranking using BertForSequenceClassification
* merge checks of eos and sep
* fix lint
---------
Co-authored-by: dinhhuy <huy.dinh@brains-tech.co.jp>
2025-05-28 19:01:58 +02:00
Georgi Gerganov
34b7c0439e
cmake : add llama-cparams.cpp to build ( #13832 )
2025-05-27 19:08:44 +03:00
Georgi Gerganov
81713121ee
kv-cells : track min/max used cells and per-sequence positions ( #13808 )
...
* kv-cells : track min/max used cells and per-sequence positions
ggml-ci
* kv-cells : fix pos-modification updates for seq_pos
ggml-ci
* kv-cells : add comments
ggml-ci
2025-05-27 13:49:41 +03:00
Georgi Gerganov
f9cd68398b
sampling : make sure samplers return at least 1 token ( #13822 )
...
* sampling : min-p should always return at least one token
ggml-ci
* sampling : same for typical sampling
* tests : sampling tests use min_keep == 0
ggml-ci
2025-05-27 12:07:52 +03:00
Georgi Gerganov
4f81b33e32
llama : validate seq id batch input ( #13809 )
...
* llama : validate seq id batch input
ggml-ci
* cont : fix the fix
ggml-ci
2025-05-27 09:40:59 +03:00
Georgi Gerganov
79c137f776
examples : allow extracting embeddings from decoder contexts ( #13797 )
...
ggml-ci
2025-05-26 14:03:54 +03:00
Georgi Gerganov
de2ef53a4b
kv-cache : rework kv_cell ( #13706 )
...
* kv-cache : rework kv_cell
ggml-ci
* kv-cells : use "shift" instead of "delta" consistently
ggml-ci
* llama : add llama_max_parallel_sequences()
ggml-ci
* kv-cells : update comments [no ci]
* context : fail upon construction if sequences exceed max value
ggml-ci
* kv-cells : get_pos() -> pos_get() + comments
ggml-ci
* kv-cells : fix tracking of "used" cells
ggml-ci
2025-05-25 16:34:36 +03:00
Piotr Jasiukajtis
4032ca4066
llama : add support for Qwen3 MoE tied word embeddings ( #13768 )
2025-05-25 10:29:43 +02:00
Olivier Chafik
f5cd27b71d
server: streaming of tool calls and thoughts when --jinja is on (#12379 )
...
* add common_json w/ support for truncated json healing
* add common_chat_msg_diff
* partial common_chat_parse
* refactor parser w/ optionals
* server: wire chat diffs in stream mode
* fix trigger of thinking models (must happen after thoughts are closed)
* fix functionary v3.2 raw python!
* rename: common_chat_syntax (now contains format)
* rm common_regex.at_start
* don't return empty <think></think>
* accommodate yet another deepseek r1 distill fantasy syntax (`<｜tool▁calls｜>`)
* fix QwQ 32B tool call parsing after thoughts (hermes2)
* better logs for grammar triggers
* consume spaces after parse_json_tool_calls
* fix required tool calls w/ thinking models that have pre-opened thinking tags
* fix thinking model's initial trigger + test qwq's template
* run most test_tool_call tests in stream + non-stream modes
* make functionary v3.2 parsing more strict (differentiate first match from others)
* send final diff from server, to close off raw python arguments
* support partial content streaming in Generic mode
* tool-call: allow content prelude before hermes2 tool calls (for Qwen2.5)
* Update function-calling.md
* Update tool_bench.py
* chat-parser: remove input from exception (llm output may contain PII)
---------
Co-authored-by: ochafik <ochafik@google.com>
Co-authored-by: Olivier Chafik <ochafik@users.noreply.github.com>
2025-05-25 01:48:08 +01:00
0cc4m
259469c4b5
Move GLM4 f32 attention fix to the correct function ( #13750 )
2025-05-24 16:49:12 +02:00
Sigbjørn Skjæret
c3a2624339
vocab : fix ugm tokenizer precision ( #13743 )
2025-05-24 12:29:09 +02:00
Georgi Gerganov
d13d0f6135
hparams : initialize arrays ( #13728 )
...
ggml-ci
2025-05-23 20:16:13 +03:00
Xuan-Son Nguyen
8a2afb7520
llama : allow custom list of swa_layers ( #13726 )
2025-05-23 17:07:04 +02:00
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
