Tags: eriknelson/llama.cpp
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server: fix query params lost when proxying requests in multi-model r… …outer mode (ggml-org#19854) * server: fix query params lost when proxying requests in multi-model router mode * server: re-encode query params using httplib::encode_query_component in proxy
ggml/gguf : prevent integer overflows (ggml-org#19856) * gguf : prevent integer overflow for ggml_context mem size * ggml : fix int overflows in ggml_new_object() * gguf : prevent string exhaustion * gguf : prevent array elements exhaustion * ggml : fix negative tensor type oob * py : assert that alignment is non-zero power of 2 * ggml : check int overflow in ggml_new_tensor_impl and ggml_new_object * gguf-py : error on duplicate keys when reading * py : restore tensor_fields * enforce proper alignment in add_custom_alignment * gguf : better name * gguf : fix ctx size for no_alloc == true * gguf : minor print fix * ggml : print values when overflow * ggml : remove deprecated ggml_type_sizef() * ggml : relax ggml_type asserts to debug-only * gguf : add mem_size overflow test * gguf : add file size check for arrays * ggml : relax asseerts for ggml_get_type_traits() * flake8 fix --------- Co-authored-by: Sigbjørn Skjæret <[email protected]>
model : update label for LFM2-24B-A2B (ggml-org#19848) * model : Update label for LFM2-24B-A2B ``` ❯ build/bin/llama-bench -m /data/playground/checkpoints/LFM2-24B-A2B-Preview-Q4_0.gguf,/data/playground/checkpoints/LFM2-8B-A1B-Q4_0.gguf -p 1 -n 0 | model | size | params | backend | threads | test | t/s | | ------------------------------ | ---------: | ---------: | ---------- | ------: | --------------: | -------------------: | | lfm2moe 24B.A2B Q4_0 | 12.54 GiB | 23.84 B | CPU | 10 | pp1 | 30.35 ± 2.49 | | lfm2moe 8B.A1B Q4_0 | 4.41 GiB | 8.34 B | CPU | 10 | pp1 | 49.24 ± 1.93 | ``` * Remove extra line
server : support max_completion_tokens request property (ggml-org#19831) "max_tokens" is deprectated in favor of "max_completion_tokens" which sets the upper bound for reasoning+output token. Closes: ggml-org#13700
Vulkan Scalar Flash Attention Refactor (ggml-org#19625) * vulkan: allow using fp16 in scalar flash attention shader * split rows inside of subgroups for faster synchronization * use row_split when Br >= 4, change reductions to use shared memory if row_split == 1 * use f32 scalar FA if f16 is not supported by device * fix amd workgroup size issue * optimize masksh use * add medium rows FA shader Br size * fixes * add padding to mask shmem buffer * cache q values into registers for KQ * fuse lf accumulation, pf and v accumulation into a loop * stage K loads through shmem * stage V loads through shmem * only stage through shmem on Nvidia * default to Bc 32 * also stage V through shmem when this is done for K * dynamic subgroups for intel * use vectorized stores * use float_type for dequantize4 functions * use smaller scalar rows size for smaller rows count * relax flash attention split_k condition to allow non-gqa use * use minimal subgroup size on Intel * fix shmem support function * fix rebase issues * fixes * Bc 4 for scalar FA is not a valid configuration * Use wave32 on AMD RDNA for scalar FA * add Intel shader core count lookup-table * fix regressions * device tuning * tmpsh size fix * fix editorconfig * refactor fa tuning logic into a single place * fix gqa opt logic * fix block_rows with small n_rows * amd tuning * fix hsk=72/80 issue * tuning * allow condition skipping for column check * use float16 for Of if available * address feedback * fix bad RDNA performance on head size <= 128 by limiting occupancy * allow printing pipeline stats * cleanup and fixes * limit occupancy for GCN for small batch FA with large HSK * disable f16 FA for GCN AMD GPUs on the proprietary driver
hexagon refactor all Ops to use local context struct (ggml-org#19819) * hexagon: refactor set/get/sum-rows ops to use local context * hexagon: refactor ROPE and Softmax Ops to use local context Improves performance a bit by precomputing things and saving in the context. * hexagon: refactor activation ops to use local context struct * hexagon: refactor unary ops to use local context struct and DMA/VTCM * hexagon: use aligned hvx_scale function * hexagon: remove unused fields from op_context * hexagon: rewrite ROPE to use DMA and VTCM scratchpad * hex-rope: keep N rows in scratchpad (instead of just two) * hex-rope: introduce rowidx cache * hex-rope: remove unused fields * hex-rope: rewrite dma prefetch logic to allow for multi-row fetch/compute also removes the need for fastdiv. * hex-rope: minor formatting * hex-rope: use indices and unroll the loops * hex-rope: more updates to cleanup rope-block handling * hexagon: cleanup supported type/dims checks * hexagon: all reduce funcs replicated across lanes There is no need to explicitly replicate the first value. * snapdragon: update adb and windows scripts to use ubatch-size 256 Updated Ops support handles larger ubatches.
vendor : update cpp-httplib to 0.34.0 (ggml-org#19830) Signed-off-by: Adrien Gallouët <[email protected]>
llama : remove write/read of output ids/logits/embeddings (ggml-org#1… …8862) * llama : remove write/read of output ids/logits/embeddings This commit removes the write/read of output ids, logits and embeddings from the llama context state. Refs: ggml-org#18862 (comment) * completion : add replying of session state This commit updates the session handing in the completion tool to handle the that logits are no longer stored in the session file. Instead, we need to replay the last token to get the logits for sampling. * common : add common_prompt_batch_decode function This commit adds a new function which is responsible for decoding prompt and optionally handle the saving for session data. * update save-state.cpp to use llama_state_load_file This commit updates the save-load-state example to utilize the new llama_state_load_file function for loading the model state from a file. And it also replays the last token after loading since this state is now stored before the last token is processed. * examples : set n_seq_max = 2 for ctx3 This commit updates the save-load-state example to set the n_seq_max parameter to 2 when initializing the ctx3 context. The motivation for this change is that using 1 as n_parallel/n_seq_max the context only supports one sequence, but the test laster tries to use a second sequence which results in the following error: ```console main : loaded state with 4 tokens main : seq 0 copied, 225760 bytes main : kv cache cleared find_slot: seq_id=1 >= n_seq_max=1 Try using a bigger --parallel value state_read_meta: failed to find available cells in kv cache ``` This seems to only happen for recurrent/hybrid models.
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