d3e64b9f49
llama : rework embeddings logic ( #14208 )
...
* llama : rework embeddings logic
ggml-ci
* cont : fix rerank
ggml-ci
* cont : engrish [no ci]
* cont : fix rerank
ggml-ci
* server : support both embeddings and completions with single model
ggml-ci
* cont : avoid embeddings_org
ggml-ci
2025-06-16 14:14:00 +03:00
d7da8dc83a
model : Add support for Arcee AI's upcoming AFM model ( #14185 )
...
* Add Arcee AFM support
* Add draft update code
* Fix linter and update URL, may still not be final
* Update src/llama-model.cpp
Co-authored-by: Xuan-Son Nguyen <thichthat@gmail.com>
* Remote accidental blank line
---------
Co-authored-by: Xuan-Son Nguyen <thichthat@gmail.com>
2025-06-16 01:04:06 +02:00
30e5b01de2
quantize : change int to unsigned int for KV overrides ( #14197 )
2025-06-15 18:53:45 +02:00
5fce5f948d
kv-cache : fix use-after-move of defrag info ( #14189 )
...
ggml-ci
2025-06-15 10:52:11 +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
c311ac664d
cparams : rename LLAMA_MAX_PARALLEL_SEQUENCES to LLAMA_MAX_SEQ ( #14188 )
...
ggml-ci
2025-06-15 10:08:58 +03:00
b9912ac570
batch : auto-gen positions + verify multi-sequence input ( #14177 )
...
* batch : verify multi-sequence input batches
ggml-ci
* cont : auto-gen positions + verify multi-seq input
ggml-ci
* cont : first print debug info, then perform validation
ggml-ci
* cont : fix position auto-gen + add comments
ggml-ci
2025-06-15 09:18:37 +03:00
fb85a288d7
vocab : fix build ( #14175 )
...
ggml-ci
2025-06-13 20:03:05 +03:00
3cfbbdb44e
Merge commit from fork
...
* vocab : prevent integer overflow during load
* Add static cast and GGML_ABORT
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2025-06-13 19:20:25 +03:00
80709b70a2
batch : add LLAMA_BATCH_DEBUG environment variable ( #14172 )
...
* batch : add LLAMA_BATCH_DEBUG environment variable
ggml-ci
* cont : improve seq_id display
2025-06-13 18:35:00 +03:00
60c666347b
batch : rework llama_batch_allocr ( #14153 )
...
* batch : rework llama_batch_allocr
ggml-ci
* cont : move validation inside class
ggml-ci
* cont : move output counting to class
ggml-ci
* cont : minor
ggml-ci
* batch : add TODOs
ggml-ci
2025-06-13 13:47:55 +03:00
d714dadb57
pooling : make cls_b and cls_out_b optional ( #14165 )
...
Co-authored-by: dinhhuy <huy.dinh@brains-tech.co.jp>
2025-06-13 11:34:08 +03:00
c33fe8b8c4
vocab : prevent heap overflow when vocab is too small ( #14145 )
...
ggml-ci
2025-06-13 08:03:54 +03:00
f6e1a7aa87
context : simplify output counting logic during decode ( #14142 )
...
* batch : remove logits_all flag
ggml-ci
* context : simplify output counting logic during decode
ggml-ci
* cont : fix comments
2025-06-12 11:50:01 +03:00
c3ee46fab4
batch : remove logits_all flag ( #14141 )
...
ggml-ci
2025-06-12 11:49:26 +03:00
9596506965
kv-cache : fix split_equal handling in unified implementation ( #14130 )
...
ggml-ci
2025-06-12 10:02:15 +03:00
a20b2b05bc
context : round n_tokens to next multiple of n_seqs when reserving ( #14140 )
...
This fixes RWKV inference which otherwise failed
when the worst case ubatch.n_seq_tokens rounded to 0.
2025-06-12 02:56:04 -04:00
89a184fa71
kv-cache : relax SWA masking condition ( #14119 )
...
ggml-ci
2025-06-11 16:48:45 +03:00
7ae2932116
kv-cache : add LLAMA_KV_CACHE_DEBUG environment variable ( #14121 )
2025-06-11 12:52:45 +03:00
dad5c44398
kv-cache : avoid modifying recurrent cells when setting inputs ( #13834 )
...
* kv-cache : avoid modifying recurrent cells when setting inputs
* kv-cache : remove inp_s_mask
It was replaced with equivalent and simpler functionality
with rs_z (the first zeroed state) and the already-existing inp_s_copy.
* kv-cache : fix non-consecutive token pos warning for recurrent models
The problem was apparently caused by how the tail cells were swapped.
* graph : simplify logic for recurrent state copies
* kv-cache : use cell without src refs for rs_z in recurrent cache
* llama-graph : fix recurrent state copy
The `state_copy` shuffle assumes everything is moved at once,
which is not true when `states_extra` is copied back to the cache
before copying the range of states between `head` and `head + n_seqs`.
This is only a problem if any of the cells in [`head`, `head + n_seqs`)
have an `src` in [`head + n_seqs`, `head + n_kv`),
which does happen when `n_ubatch > 1` in the `llama-parallel` example.
Changing the order of the operations avoids the potential overwrite
before use, although when copies are avoided (like with Mamba2),
this will require further changes.
* llama-graph : rename n_state to state_size in build_recurrent_state
This naming should reduce confusion between the state size
and the number of states.
2025-06-10 18:20:14 -04:00
3678b838bb
llama : support GEGLU for jina-bert-v2 ( #14090 )
2025-06-10 18:02:08 +02:00
40cbf571c9
kv-cache : fix shift and defrag logic ( #14081 )
...
* kv-cache : fix shift
ggml-ci
* cont : reset shift[i]
ggml-ci
* cont : fix defrag erasing cells that didn't move
ggml-ci
2025-06-09 23:04:35 +03:00
201b31dc2e
graph : fix geglu ( #14077 )
...
ggml-ci
2025-06-09 17:17:31 +03:00
91a8ee6a6f
add geglu activation function ( #14074 )
...
Co-authored-by: dinhhuy <huy.dinh@brains-tech.co.jp>
2025-06-09 05:15:31 +01:00
0974ad7a7c
llama : fix llama_model_chat_template with template name (LLM_KV with suffix) ( #14050 )
2025-06-07 14:13:12 +02:00
745aa5319b
llama : deprecate llama_kv_self_ API ( #14030 )
...
* llama : deprecate llama_kv_self_ API
ggml-ci
* llama : allow llama_memory_(nullptr)
ggml-ci
* memory : add flag for optional data clear in llama_memory_clear
ggml-ci
2025-06-06 14:11:15 +03:00
487a5e0401
context : fix SWA-related warning for multiple sequences ( #14045 )
2025-06-06 13:29:18 +03:00
d17a809ef0
llama : support multiple classifier outputs and labels ( #13940 )
2025-06-06 09:03:25 +02:00
7f37b6cf1e
memory : migrate from llama_kv_cache to more generic llama_memory ( #14006 )
...
* memory : merge llama_kv_cache into llama_memory + new `llama_memory` API
ggml-ci
* context : fix casts
ggml-ci
2025-06-05 15:29:22 +03:00
3a077146a4
llama : allow using mmap without PrefetchVirtualMemory, apply GGML_WIN_VER to llama.cpp sources ( #14013 )
2025-06-05 11:57:42 +02:00
9f47fa5792
vocab : warn about missing mask token ( #14022 )
2025-06-05 09:29:18 +02:00
9e31bec4fd
context : fix pos_min initialization upon error decode ( #14008 )
...
ggml-ci
2025-06-05 09:06:29 +03:00
3e63a58ef7
kv-cache : refactor the update/defrag mechanism ( #13988 )
...
* kv-cache : refactor update mechanism
ggml-ci
* memory : improve status handling
* defrag : reset head + add comments
ggml-ci
* cont : minor fixes
ggml-ci
2025-06-04 18:58:20 +03:00
3ac67535c8
llama-graph : use ggml_repeat_4d ( #13998 )
2025-06-04 10:11:26 +02:00
e0e806f52e
kv-cache : fix unified::seq_rm to work with seq_id < 0 ( #13985 )
...
ggml-ci
2025-06-04 09:50:32 +03:00
5582c49c39
gemma : more consistent attention scaling for v2 and v3 ( #13951 )
...
* gemma : fix attn scale for 27B
* cont : apply scale before attn
* cont : consistent attention scaling
2025-06-02 20:54:26 +03:00
5e1c3aed40
convert : fix nomic-bert-moe mask token ( #13757 )
2025-06-01 18:07:21 +02:00
0fc16b42e8
kv-cache : split implementation in separate sources ( #13920 )
...
ggml-ci
2025-06-01 11:39:27 +03:00
803f8baf4f
llama : deprecate explicit kv_self defrag/update calls ( #13921 )
...
ggml-ci
2025-05-31 15:58:33 +03:00
3600cc2886
llama : use n_swa + n_ubatch cells for SWA cache ( #13833 )
...
* llama : use n_swa + n_ubatch cells for SWA cache
ggml-ci
* llama : add warning about multi-sqeuence SWA contexts
2025-05-31 15:57:44 +03:00
3f55f781f1
llama : auto-batch preparation ( #13845 )
...
* llama : auto-batch
ggml-ci
* context : simplify if branching
2025-05-31 12:55:57 +03:00
12d0188c0d
kv-cache : refactor + add llama_memory_state_i ( #13746 )
...
* kv-cache : simplify the "struct llama_kv_cache" interface
ggml-ci
* kv-cache : revert the (n_swa + n_ubatch) change (for next PR)
ggml-ci
* kv-cache : some comments
ggml-ci
* context : fix graph reserve for multiple sequences
ggml-ci
* kv-cache : fix typo [no ci]
* kv-cache : fix find_slot() logic for free slots
ggml-ci
* llama : add TODO for deprecating the defrag API in the future
* kv-cache : improve find_slot() using min/max seq pos info
ggml-ci
* llama : handle aborts and compute errors
ggml-ci
* memory : extract state into llama_memory_state
ggml-ci
* kv-cache : add comments
ggml-ci
* server : update batching logic to reset n_batch on successful decode
* server : upon full re-processing, remove the sequence from the cache
* kv-cache : add TODO for doing split_equal when split_simple fails
ggml-ci
2025-05-31 10:24:04 +03:00
291f2b6913
llama : add support for DistilBert ( #13907 )
...
* add distilbert
* small fixes
* add note for LLM_ARCH_DISTIL_BERT
* Use MODEL_ARCH.BERT for DistilBert
---------
Co-authored-by: dinhhuy <huy.dinh@brains-tech.co.jp>
2025-05-30 11:56:02 +02:00
2c90da4c7e
llama : use llm_build_granite for minicpm ( #13911 )
2025-05-30 10:31:48 +02:00
e83ba3e460
llama : add support for jina-reranker-v2 ( #13900 )
2025-05-29 21:42:31 +02:00
6385b843a8
llama : add RobertaForSequenceClassification reranker support ( #13875 )
2025-05-29 08:15:01 +02:00
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
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
34b7c0439e
cmake : add llama-cparams.cpp to build ( #13832 )
2025-05-27 19:08:44 +03:00
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
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
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
79c137f776
examples : allow extracting embeddings from decoder contexts ( #13797 )
...
ggml-ci
2025-05-26 14:03:54 +03:00
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
4032ca4066
llama : add support for Qwen3 MoE tied word embeddings ( #13768 )
2025-05-25 10:29:43 +02:00
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
259469c4b5
Move GLM4 f32 attention fix to the correct function ( #13750 )
2025-05-24 16:49:12 +02:00
c3a2624339
vocab : fix ugm tokenizer precision ( #13743 )
2025-05-24 12:29:09 +02:00
d13d0f6135
hparams : initialize arrays ( #13728 )
...
ggml-ci
2025-05-23 20:16:13 +03:00
8a2afb7520
llama : allow custom list of swa_layers ( #13726 )
2025-05-23 17:07:04 +02:00
8a1d206f1d
tts : fix n_ubatch + make WavTokenizer cache-less ( #13713 )
...
ggml-ci
2025-05-22 22:21:07 +03:00
8e186ef0e7
hparams : support models for which all layers use SWA ( #13682 )
...
ggml-ci
2025-05-21 20:00:49 +03:00
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
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
be0239693c
model : fix llama4 graph ( #13663 )
...
ggml-ci
2025-05-20 19:21:04 +03:00
a4090d1174
llama : remove llama_kv_cache_view API + remove deprecated ( #13653 )
...
ggml-ci
2025-05-20 16:13:16 +03:00
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
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
5364ae4ba5
llama : print hint when loading a model when no backends are loaded ( #13589 )
2025-05-16 16:38:07 +02:00
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
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
f5170c1d7a
editorconfig : fix trailing whitespace from #13542 ( #13546 )
2025-05-14 21:22:49 +03:00
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
b7d2672082
llama : fix quantize with dl backends ( #13539 )
2025-05-14 16:12:36 +02:00
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
e5c834f718
quantize : improve tensor-type pattern matching ( #13033 )
2025-05-13 19:12:31 +02:00
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
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
064cc596ac
context : fix state io for memory-less contexts ( #13470 )
...
ggml-ci
2025-05-12 15:12:27 +03:00
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
d2a4ef05c6
vocab : add ByteDance-Seed/Seed-Coder ( #13423 )
2025-05-10 22:08:07 +02:00
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
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
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
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
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
f061021206
llama : print size and type of overridden tensors ( #13364 )
2025-05-08 13:15:15 +02:00
bc4e1128f7
llama : deci : support ffn-free with attention ( #13296 )
2025-05-07 12:49:27 +02:00
6c7fd67b64
llama : support tie embedding for chatglm models ( #13328 )
2025-05-07 09:23:11 +02:00
ffc727203a
sampling : make top_n_sigma no-op at <=0 or a single candidate ( #13345 )
2025-05-06 22:36:24 +02:00
91a86a6f35
sampling : don't consider -infinity values in top_n_sigma ( #13344 )
2025-05-06 20:24:15 +02:00
2f54e348ad
llama : fix build_ffn without gate ( #13336 )
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* llama : fix build_ffn without gate
* fix build on windows
* Revert "fix build on windows"
This reverts commit fc420d3c7e
2025-05-06 14:25:40 +02:00
233461f812
sampling : Integrate Top-nσ into main sampling chain (and add it to the server) ( #13264 )
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* 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
3bf785f3ef
llama : Llama-3_1-Nemotron-Ultra-253B-v1 support ( #12843 )
2025-05-03 17:39:51 +02:00
a75cb30dc9
context : fix reorder logic ( #13267 )
...
ggml-ci
2025-05-02 20:54:13 +03:00
2f567611c0
llama-model : support Qwen2 embedding models and pooling_mode_lasttoken ( #13245 )
2025-05-02 11:42:30 -04:00
c642bc014c
kv-cache : separate recurrent vs non-recurrent impl ( #12799 )
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* 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
cb06a3c363
llama : orion rope type is neox ( #13261 )
2025-05-02 12:44:24 +02:00
626083faf7
llama : plamo rope type is neox ( #13260 )
2025-05-02 12:40:56 +02:00
2af6880178
llama-chat : reset glmedge chat template ( #13253 )
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* reset glmedge chat template
* fix glmedge chat template
2025-05-02 11:06:09 +02:00
Georgi Gerganov
Bartowski
Ed Addario
Mikko Juola
Guy Goldenberg
Đinh Trọng Huy
compilade
Sigbjørn Skjæret
Diego Devesa
Xuan-Son Nguyen
zhangkaihuo
Piotr Jasiukajtis
Olivier Chafik
0cc4m
Gilad S.
Gabe Goodhart
Johannes Gäßler
David Huang
piDack
DocShotgun
oobabooga
ymcki
Jared Van Bortel