Use the sign trick with dpbusd instead of maddubs+madd+add,
replacing 3 AVX2 instructions with 1 fused VNNI instruction.
Removes dead HAVE_FANCY_SIMD code left over from the R16 split.
Co-authored-by: Adam Caldwell <accaldwell@users.noreply.github.com>
Ungate the VNNI path in mul_mat_q8_1_r8_q8_2 by changing the
guard from HAVE_FANCY_SIMD to HAVE_VNNI256. This block only uses
256-bit intrinsics so it is safe for AVX-VNNI (non-512) CPUs.
Co-authored-by: Adam Caldwell <accaldwell@users.noreply.github.com>
Replace maddubs_epi16 + madd_epi16 with dpbusd_epi32 in the
mul_mat_q8_0_r8_q8_2 dot product lambda when HAVE_VNNI256 is
defined. Same sign trick operands (abs(x), sign(y,x)), just
fewer instructions per sub-block.
Co-authored-by: Adam Caldwell <accaldwell@users.noreply.github.com>
Ungate the VNNI path in mul_mat_q8_1_r8_q8_2 by changing the
guard from HAVE_FANCY_SIMD to HAVE_VNNI256. This block only uses
256-bit intrinsics so it is safe for AVX-VNNI (non-512) CPUs.
Co-authored-by: Adam Caldwell <accaldwell@users.noreply.github.com>
* Allow using -rtr and -muge together
* Various Qwen-3.5 tweaks
* No need to make v, g, beta contiguous
* Adjust NEON delta-net to non-contiguous v, g, b
* Cleanup
---------
Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
Without this, libcpp-httplib.a is compiled without SSL support, causing
an undefined reference to httplib::SSLServer at link time even though
the OpenSSL libraries are present on the link line.
Fixes#1449
Co-authored-by: kerem seyhan <kerem.seyhan@codecut.de>
Add new CPU macro HAVE_VNNI256 for CPUs with 256-bit VNNI
(AVX-VNNI) support or better (AVX512-VNNI+VL), separate from
HAVE_FANCY_SIMD which requires the full AVX-512 set. Relax four
#ifdef guards in mul_mat_q4_k_r4_q8_k and mul_mat_q5_k_r4_q8_k
to use HAVE_VNNI256 instead of HAVE_FANCY_SIMD, enabling vpdpbusd
and cvtepi8_epi32 on Alder Lake, Raptor Lake, and similar CPUs.
Co-authored-by: Adam Caldwell <accaldwell@users.noreply.github.com>
* Improve text formatting
* Update README.md with recent models and features
* Update parameters.md with recent additions
* Remove deprecated from parameters.md
* simpler n_rewind logic, delete old comments
* use more consistent names, add updt_w_cur to json schema
* align comments
* refactor review logic, update struct/variable names
* revert cosmetic changes
* check enable/disable in llama_prep_adaptive_p_impl()
* delete extra whitespaces after statement
* show target in debug prints
* more concise debug print
* delete old comments
* update with loop instead of move()
* comment out all adaptive p debug prints
* more debug prints
* move review() variables: common_sampler struct -> common_sampler_review() args
* match n_unsent type
* fix merge bugs, delete adaptive p references in buffer_and_check_string_ban()
* restore accidental erasure
* Revert "adaptive p: collect probability before logit bias"
This reverts commit 1434878461c49d1a2a9047fc15d5e7b78421fd2a.
* Use cuda 86 instead of default
"default" fails to build
* Update docker README.md
- Use 86 architecture
- Examples for mix of architectures
- Where to identify Cuda version
- Hint to clean unused images
- How to build without llama-swap
* Improve compatibility with the new Jinja template engine
* Refactor MiroThinker chat template using macros
* Add MiroThinker-compat chat template
For compatibility reasons. It can be removed when upstream fix the jinja render engine bugs.
* Add workaround for llama.cpp crashing
* server : support multi-modal context checkpoints and prompt caching
do not create checkpoint right after image processing
improve mtmd check for slot ops
fix context shift
do not abort if template parse failed
* change to debug message when detecting ban token
---------
Co-authored-by: firecoperana <firecoperana>
* WIP: support pre-merged up/gate experts
Haha, mainline has elected to arrange the merged tensors
the other way around compared to what I had done in the on-the-fly merge.
* Change the order of on-the-fly packed up/gate
* OpenAI
* CUDA TG
* CPU
* Split mode graph for models with pre-merged ffn_up/ffn_gate experts
* WIP: support pre-merged up/gate experts
Haha, mainline has elected to arrange the merged tensors
the other way around compared to what I had done in the on-the-fly merge.
* Change the order of on-the-fly packed up/gate
* OpenAI
* CUDA TG
* CPU
Two changes:
1. Add four missing environment variable bindings to
gpt_params_parse_from_env():
- LLAMA_ARG_CACHE_TYPE_K (string, e.g. "q8_0")
- LLAMA_ARG_CACHE_TYPE_V (string, e.g. "q8_0")
- LLAMA_ARG_MLOCK (bool, "1"/"true")
- LLAMA_ARG_K_CACHE_HADAMARD (bool, "1"/"true")
2. Call gpt_params_parse_from_env() from gpt_params_parse() so that
ALL tools (llama-cli, llama-bench, etc.) respect env vars, not
just llama-server. Env vars act as defaults; CLI flags override.
Follows the existing get_env() pattern and uses the same
LLAMA_ARG_ prefix convention as the other env vars.
Co-authored-by: Pipboyguy <>
Kawrakow
Adam Caldwell
firecoperana
Nexes the Elder
StrikeOner
hksdpc255
mcm007
dungquixote42
SneedwareInc
saood06
Marcel Coetzee