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314 Commits
| Author | SHA1 | Message | Date | |
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Piotr Wilkin (ilintar)
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566059a26b |
Autoparser - complete refactoring of parser architecture (#18675)
* Autoparser - full single commit squish * Final pre-merge changes: minor fixes, Kimi 2.5 model parser |
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Daniel Bevenius
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2b6dfe824d |
llama : remove write/read of output ids/logits/embeddings (#18862)
* 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: https://github.com/ggml-org/llama.cpp/pull/18862#issuecomment-3756330941 * 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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Adrien Gallouët
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a569bda445 |
common : make small string helpers as inline functions (#19693)
Also use string_view when it make sense and fix some corner cases. Signed-off-by: Adrien Gallouët <angt@huggingface.co> |
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iMil
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badba89320 | NetBSD build support (#19589) | ||
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agent-enemy-2
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2d8015e8a4 |
llama : update LoRA API. + fix excessive graph reserves (#19280)
* Refactoring to use new llama_put_adapter_loras * cont : alternative lora API --------- Co-authored-by: Jake Chavis <jakechavis6@gmail.com> Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> |
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Adrien Gallouët
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4ae1b7517a |
common : replace deprecated codecvt using parse_utf8_codepoint (#19517)
Signed-off-by: Adrien Gallouët <adrien@gallouet.fr> |
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Daniel Bevenius
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3136a849db |
common : remove unused token util functions (#19506)
This commit removes two unused functions `common_lcp` and `common_lcs`.
The last usage of these functions was removed in
Commit
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Sascha Rogmann
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72d3b1898a |
spec : add self‑speculative decoding (no draft model required) + refactor (#18471)
* server: introduce self-speculative decoding * server: moved self-call into speculative.cpp * can_speculate() includes self-speculation Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * server: can_speculate() tests self-spec * server: replace can_speculate() with slot.can_speculate() Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com> * common: use %zu format specifier for size_t in logging Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com> * server: can_speculate() requires a task instance * common: ngram map, config self-speculative decoding * common: add enum common_speculative_type * common: add vector of speculative states * common: add option --spec-draftless * server: cleanup (remove slot.batch_spec, rename) * common: moved self-spec impl to ngram-map * common: cleanup (use common_speculative_state_draft) * spec : refactor * cont : naming * spec: remove --spec-config * doc: (draftless) speculative decoding * common: print performance in spec decoding * minor : cleanup * common : better names * minor : cleanup + fix build * minor: comments * CODEOWNERS: add common/ngram-map.* (#18471) * common : rename speculative.draftless_type -> speculative.type * ngram-map : fix uninitialized values * ngram-map : take into account the input can become shorter * ngram-map : revert len check for now * arg : change `--spec-draftless` -> `--spec-type` * spec : add common_speculative_state::accept() * spec : refactor + add common_speculative_begin() * spec : fix begin() call with mtmd * spec : additional refactor + remove common_speculative_params --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com> |
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Georgi Gerganov
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39173bcacb |
context : reserve new scheduler when graph topology changes (#18547)
* context : reserve new scheduler when graph topology changes * cont : fix * cont : fix reserve * cont : reserve only when changes occur + timing * context : add comments * llama : reserve on sampler changes * common : allow null common_sampler * server : task declares needs (embd, logits, sampling) * server : do not init sampler if not needed * llama : fix need_reserve when unsetting a sampler * server : consolidate slot reset/clear logic |
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Johannes Gäßler
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64848deb18 | llama-fit-params: free memory target per device (#18679) | ||
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Julius Tischbein
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2038101bd9 |
llama : add use_direct_io flag for model loading (#18166)
* Adding --direct-io flag for model loading * Fixing read_raw() calls * Fixing Windows read_raw_at * Changing type off_t to size_t for windows and Renaming functions * disable direct io when mmap is explicitly enabled * Use read_raw_unsafe when upload_backend is available, not functional on some devices with Vulkan and SYCL * Fallback to std::fread in case O_DIRECT fails due to bad address * Windows: remove const keywords and unused functions * Update src/llama-mmap.cpp Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> --------- Co-authored-by: jtischbein <jtischbein@gmail.com> Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> |
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Daniel Bevenius
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d3dce4e0a5 |
sampling : add support for backend sampling (#17004)
* sampling : add support for backend sampling This commit adds support for performing sampling operations on the backend (e.g. GPU) as part of the model computation graph. The motivation for this feature is to enable sampling to be performed directly on the backend as part of the computation graph being executed, allowing for some or all of the sampling to be done on the backend. For example, the backend sampler chain might select/sample a token directly in which case only the sampled token needs to be transferred from device memory to host memory. It is also possible for the backend samplers to perform filtering of the logits, or compute and filter the probability distribution, in which case only the filtered logits or probabilites need to be transferred back to system memory for further processing by CPU samplers. Currently the backend sampling works in a similar manner to how pooling works, it is a function that is called by build_graph and the sampler operations become part of the models computation graph. * llama-cli : add backend sampler configuration * server : add backend sampling options/configuration * webui : add backend sampling options * ggml : add initial cumsum implementation for CUDA * sampling : enable all backend sampler tests This commit enables all exisiting backend sampler tests in the test-backend-sampler. Previously, some tests were disabled because there were missing ggml operation implementations. * graph : do not include llama-model.h * sampling : always expose sampled_ids This commit precomputes and caches the full-vocab token id list in llama_context's constructor, so llama_get_backend_sampled_token_ids_ith always returns a valid pointer. The motivation for this is that this enables both common/sampling.cpp and src/llama-sampling.cpp can simplify their logic. Not all backends samplers that process logits need to set the sampled_tokens_id as they may not change the order of the logits, for example the temperature sampler only scales the logits but does not change their order. Simliar the logit bias sampler only adds bias to specific token ids but does not change the order of the logits. In these cases there will not be a device to host copy of the sampled token ids, and this is the use case where having this precomputed list is useful. * sampling : ensure at most one output token per seq This commit adds a check in the batch allocator to ensure that when backend sampling is enabled, at most one output token is specified per sequence. * CUDA: Optimize argsort for gpu-based token sampling Argsort is used for top-k currently. WE optimize argsort by 2 things: 1. Use `DeviceRadixSort` for single-row/sequence to parallelize it across our SMs 2. Use `DeviceSegmentedSort` for multi-row/sequence as this is the correct entrypoint (the function chooses different execution paths, it contains `DeviceSegmentedRadixSort` as one of the paths and will choose the best one according to heuristics. https://nvidia.github.io/cccl/cub/api/structcub_1_1DeviceSegmentedSort.html#overview Some perf numbers for a RTX PRO 6000: On the kernel level, tested with `GGML_CUDA_DISABLE_GRAPHS=1 ./test-backend-ops -o ARGSORT perf` Before: ``` ARGSORT(type=f32,ne=[65000,16,1,1],order=0): 4130 runs - 359.24 us/run ARGSORT(type=f32,ne=[200000,1,1,1],order=0): 8192 runs - 861.34 us/run ARGSORT(type=f32,ne=[200000,16,1,1],order=0): 1343 runs - 1020.01 us/run ``` After: ``` ARGSORT(type=f32,ne=[65000,16,1,1],order=0): 4130 runs - 312.41 us/run ARGSORT(type=f32,ne=[200000,1,1,1],order=0): 16384 runs - 63.48 us/run ARGSORT(type=f32,ne=[200000,16,1,1],order=0): 1343 runs - 874.36 us/run ``` --- On the model level, tested with `llama-cli -m gpt-oss-20b-mxfp4.gguf -n 200 -p "What is the Capital of Sweden?" -no-cnv -fa 1 --backend-sampling` Before: ``` llama_perf_sampler_print: sampling time = 0.25 ms / 207 runs ( 0.00 ms per token, 824701.20 tokens per second) llama_perf_context_print: load time = 18215.58 ms llama_perf_context_print: prompt eval time = 28.20 ms / 7 tokens ( 4.03 ms per token, 248.19 tokens per second) llama_perf_context_print: eval time = 714.79 ms / 199 runs ( 3.59 ms per token, 278.40 tokens per second) llama_perf_context_print: total time = 857.62 ms / 206 tokens ``` After ``` llama_perf_sampler_print: sampling time = 0.25 ms / 207 runs ( 0.00 ms per token, 828000.00 tokens per second) llama_perf_context_print: load time = 18366.92 ms llama_perf_context_print: prompt eval time = 35.92 ms / 7 tokens ( 5.13 ms per token, 194.87 tokens per second) llama_perf_context_print: eval time = 532.79 ms / 199 runs ( 2.68 ms per token, 373.50 tokens per second) llama_perf_context_print: total time = 683.65 ms / 206 tokens ``` * sampling : remove version from sampler chain This commit removes the version field from the sampler chain and instead used the sampler pointer itself for change detection. * sampling : always populate logits for sampled probs This commit updates common/sampler.cpp set_logits and src/llama-sampling.cpp llama_sampler_sample to always populate the logits field when backend sampled probabilities are available. The motivation for this is that this ensure that CPU sampler always have access to the logits values even when probabilites have been produced by backend samplers. * sampling : simplify backend sampling logic decode This commit tries to simplify the backend sampling logic in llama_context::decode. * squash! sampling : simplify backend sampling logic decode Fix condition to check if backend actually sampled tokens, not just that backend samplers are available. * common : fix regression caused by extra memory allocations during sampling * squash! sampling : simplify backend sampling logic decode The commit fixes a variable shadowing issue in the `llama_context::decode` function which was introduced in a previous refactoring. * squash! common : fix regression caused by extra memory allocations during sampling Apply the same changes to llama-sampling.cpp, llama_sampler_sample as were applied in commit |
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Xuan-Son Nguyen
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cd78e57c3a |
lora: count lora nodes in graph_max_nodes (#18469)
* lora: count lora nodes in graph_max_nodes * 3 nodes per weight * 4 nodes * keep track n_lora_nodes from llama_model * fix assert * rm redundant header * common: load adapters before context creation * use 6 nodes |
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o7si
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daa242dfc8 |
common: fix return value check for setpriority (#18412)
* common: fix return value check for setpriority * tools: add logging for process priority setting |
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Johannes Gäßler
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026d2ad472 |
llama: fix magic number of 999 for GPU layers (#18266)
* llama: fix magic number of 999 for GPU layers * use strings for -ngl, -ngld * enacapsulate n_gpu_layers, split_mode |
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Johannes Gäßler
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147a521636 | tool/ex/tests: consistently free ctx, then model (#18168) | ||
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Johannes Gäßler
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a2c199e479 | common: clarify instructions for bug reports (#18134) | ||
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Johannes Gäßler
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b1f3a6e5db |
llama: automatically set parameters not set by the user in such a way that maximizes GPU utilization (#16653)
* llama: automatically fit args to free memory llama-fit-params tool * fix CI * hints for bug reports, ensure no reallocation * fix segfault with Vulkan * add llama-fit-params to CI * fix CI * fix CI * fix CI * minor adjustments * fix assignment of 1 dense layer * fix logger not being reset on model load failure * remove --n-gpu-layer hint on model load failure * fix llama-fit-params verbosity * fix edge case * fix typo [no ci] |
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Georgi Gerganov
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254098a279 |
common : refactor common_sampler + grammar logic changes (#17937)
* common : refactor common_sampler + grammar logic changes * tests : increase max_tokens to get needed response * batched : fix uninitialized samplers |
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Sigbjørn Skjæret
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22577583a3 | common : change --color to accept on/off/auto, default to auto (#17827) | ||
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Adrien Gallouët
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83c1171529 |
common: use native MultiByteToWideChar (#17738)
`std::codecvt_utf8<wchar_t>` is deprecated and produces warnings:
common/common.cpp:792:31: warning: 'codecvt_utf8<wchar_t>' is deprecated [-Wdeprecated-declarations]
792 | std::wstring_convert<std::codecvt_utf8<wchar_t>> converter;
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Signed-off-by: Adrien Gallouët <angt@huggingface.co>
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Reese Levine
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7ca5991d2b |
ggml webgpu: add support for emscripten builds (#17184)
* Faster tensors (#8) Add fast matrix and matrix/vector multiplication. * Use map for shader replacements instead of pair of strings * Wasm (#9) * webgpu : fix build on emscripten * more debugging stuff * test-backend-ops: force single thread on wasm * fix single-thread case for init_tensor_uniform * use jspi * add pthread * test: remember to set n_thread for cpu backend * Add buffer label and enable dawn-specific toggles to turn off some checks * Intermediate state * Fast working f16/f32 vec4 * Working float fast mul mat * Clean up naming of mul_mat to match logical model, start work on q mul_mat * Setup for subgroup matrix mat mul * Basic working subgroup matrix * Working subgroup matrix tiling * Handle weirder sg matrix sizes (but still % sg matrix size) * Working start to gemv * working f16 accumulation with shared memory staging * Print out available subgroup matrix configurations * Vectorize dst stores for sg matrix shader * Gemv working scalar * Minor set_rows optimization (#4) * updated optimization, fixed errors * non vectorized version now dispatches one thread per element * Simplify * Change logic for set_rows pipelines --------- Co-authored-by: Neha Abbas <nehaabbas@macbookpro.lan> Co-authored-by: Neha Abbas <nehaabbas@ReeseLevines-MacBook-Pro.local> Co-authored-by: Reese Levine <reeselevine1@gmail.com> * Comment on dawn toggles * Working subgroup matrix code for (semi)generic sizes * Remove some comments * Cleanup code * Update dawn version and move to portable subgroup size * Try to fix new dawn release * Update subgroup size comment * Only check for subgroup matrix configs if they are supported * Add toggles for subgroup matrix/f16 support on nvidia+vulkan * Make row/col naming consistent * Refactor shared memory loading * Move sg matrix stores to correct file * Working q4_0 * Formatting * Work with emscripten builds * Fix test-backend-ops emscripten for f16/quantized types * Use emscripten memory64 to support get_memory * Add build flags and try ci --------- Co-authored-by: Xuan Son Nguyen <son@huggingface.co> * Remove extra whitespace * Move wasm single-thread logic out of test-backend-ops for cpu backend * Disable multiple threads for emscripten single-thread builds in ggml_graph_plan * Fix .gitignore * Add memory64 option and remove unneeded macros for setting threads to 1 --------- Co-authored-by: Xuan Son Nguyen <son@huggingface.co> |
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Xuan-Son Nguyen
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13628d8bdb |
server: add --media-path for local media files (#17697)
* server: add --media-path for local media files * remove unused fn |
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Xuan-Son Nguyen
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ec18edfcba |
server: introduce API for serving / loading / unloading multiple models (#17470)
* server: add model management and proxy * fix compile error * does this fix windows? * fix windows build * use subprocess.h, better logging * add test * fix windows * feat: Model/Router server architecture WIP * more stable * fix unsafe pointer * also allow terminate loading model * add is_active() * refactor: Architecture improvements * tmp apply upstream fix * address most problems * address thread safety issue * address review comment * add docs (first version) * address review comment * feat: Improved UX for model information, modality interactions etc * chore: update webui build output * refactor: Use only the message data `model` property for displaying model used info * chore: update webui build output * add --models-dir param * feat: New Model Selection UX WIP * chore: update webui build output * feat: Add auto-mic setting * feat: Attachments UX improvements * implement LRU * remove default model path * better --models-dir * add env for args * address review comments * fix compile * refactor: Chat Form Submit component * ad endpoint docs * Merge remote-tracking branch 'webui/allozaur/server_model_management_v1_2' into xsn/server_model_maagement_v1_2 Co-authored-by: Aleksander <aleksander.grygier@gmail.com> * feat: Add copy to clipboard to model name in model info dialog * feat: Model unavailable UI state for model selector * feat: Chat Form Actions UI logic improvements * feat: Auto-select model from last assistant response * chore: update webui build output * expose args and exit_code in API * add note * support extra_args on loading model * allow reusing args if auto_load * typo docs * oai-compat /models endpoint * cleaner * address review comments * feat: Use `model` property for displaying the `repo/model-name` naming format * refactor: Attachments data * chore: update webui build output * refactor: Enum imports * feat: Improve Model Selector responsiveness * chore: update webui build output * refactor: Cleanup * refactor: Cleanup * refactor: Formatters * chore: update webui build output * refactor: Copy To Clipboard Icon component * chore: update webui build output * refactor: Cleanup * chore: update webui build output * refactor: UI badges * chore: update webui build output * refactor: Cleanup * refactor: Cleanup * chore: update webui build output * add --models-allow-extra-args for security * nits * add stdin_file * fix merge * fix: Retrieve lost setting after resolving merge conflict * refactor: DatabaseStore -> DatabaseService * refactor: Database, Conversations & Chat services + stores architecture improvements (WIP) * refactor: Remove redundant settings * refactor: Multi-model business logic WIP * chore: update webui build output * feat: Switching models logic for ChatForm or when regenerating messges + modality detection logic * chore: update webui build output * fix: Add `untrack` inside chat processing info data logic to prevent infinite effect * fix: Regenerate * feat: Remove redundant settigns + rearrange * fix: Audio attachments * refactor: Icons * chore: update webui build output * feat: Model management and selection features WIP * chore: update webui build output * refactor: Improve server properties management * refactor: Icons * chore: update webui build output * feat: Improve model loading/unloading status updates * chore: update webui build output * refactor: Improve API header management via utility functions * remove support for extra args * set hf_repo/docker_repo as model alias when posible * refactor: Remove ConversationsService * refactor: Chat requests abort handling * refactor: Server store * tmp webui build * refactor: Model modality handling * chore: update webui build output * refactor: Processing state reactivity * fix: UI * refactor: Services/Stores syntax + logic improvements Refactors components to access stores directly instead of using exported getter functions. This change centralizes store access and logic, simplifying component code and improving maintainability by reducing the number of exported functions and promoting direct store interaction. Removes exported getter functions from `chat.svelte.ts`, `conversations.svelte.ts`, `models.svelte.ts` and `settings.svelte.ts`. * refactor: Architecture cleanup * feat: Improve statistic badges * feat: Condition available models based on modality + better model loading strategy & UX * docs: Architecture documentation * feat: Update logic for PDF as Image * add TODO for http client * refactor: Enhance model info and attachment handling * chore: update webui build output * refactor: Components naming * chore: update webui build output * refactor: Cleanup * refactor: DRY `getAttachmentDisplayItems` function + fix UI * chore: update webui build output * fix: Modality detection improvement for text-based PDF attachments * refactor: Cleanup * docs: Add info comment * refactor: Cleanup * re * refactor: Cleanup * refactor: Cleanup * feat: Attachment logic & UI improvements * refactor: Constants * feat: Improve UI sidebar background color * chore: update webui build output * refactor: Utils imports + move types to `app.d.ts` * test: Fix Storybook mocks * chore: update webui build output * test: Update Chat Form UI tests * refactor: Tooltip Provider from core layout * refactor: Tests to separate location * decouple server_models from server_routes * test: Move demo test to tests/server * refactor: Remove redundant method * chore: update webui build output * also route anthropic endpoints * fix duplicated arg * fix invalid ptr to shutdown_handler * server : minor * rm unused fn * add ?autoload=true|false query param * refactor: Remove redundant code * docs: Update README documentations + architecture & data flow diagrams * fix: Disable autoload on calling server props for the model * chore: update webui build output * fix ubuntu build * fix: Model status reactivity * fix: Modality detection for MODEL mode * chore: update webui build output --------- Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com> Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> |
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Aaron Teo
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877566d512 | llama: introduce support for model-embedded sampling parameters (#17120) | ||
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Georgi Gerganov
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196f5083ef |
common : more accurate sampling timing (#17382)
* common : more accurate sampling timing * eval-callback : minor fixes * cont : add time_meas impl * cont : fix log msg [no ci] * cont : fix multiple definitions of time_meas * llama-cli : exclude chat template init from time measurement * cont : print percentage of unaccounted time * cont : do not reset timings |
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Xuan-Son Nguyen
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9b17d74ab7 | mtmd: add mtmd_log_set (#17268) | ||
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Xuan-Son Nguyen
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aa3b7a90b4 |
arg: add --cache-list argument to list cached models (#17073)
* arg: add --cache-list argument to list cached models * new manifest naming format * improve naming * Update common/arg.cpp Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> |
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Gadflyii
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3df2244df4 |
llama : add --no-host to disable host buffers (#16310)
* implement --no-host to disable host buffer * fix equal_mparams * move no-host enumeration order together with other model params --------- Co-authored-by: slaren <slarengh@gmail.com> |
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Aaron Teo
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624207e676 |
devops: add s390x & ppc64le CI (#15925)
* devops: move s390x and ppc64le ci build we have access to ubuntu-24.04-s390x and ppc64le images now Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * devops: disable ppc64le for now since they have compiler errors Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * devops: stop warnings as errors Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * devops: switch to non-macro flag Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * devops: going the llama macro route Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * devops: add big-endian gguf test models Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * devops: disable ppc64le to test s390x, check test build Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * devops: dup .gguf.inp files for big-endian tests Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * devops: dup .gguf.out files for big-endian too Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * devops: add python setup and endian byteswap Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * devops: pooring thing does not have s390x python3 Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * devops: add missing rust compiler for s390x Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * devops: try rust actions runner Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * Revert "devops: try rust actions runner" This reverts commit 3f8db04356033d6c1d7eccc75ca396bc5298250c. Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * devops: try a different path for rust Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * devops: dump home directory and user info Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * devops: install gguf-py only Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * devops: missed relative path Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * devops: remove big-endian files since local swapping is working Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * devops: revert test-tokenizer-0 cmakelists Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * Fix unicode flags conversion from and to uint16_t Bitfields are allocated in different order on s390x Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * Simplify byteswap command Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * Add byteswapping and git-lfs for test-tokenizers-ggml-vocabs Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * Fix endianness detection in vocab loader Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * Disable test-thread-safety on s390x In this test a model is downloaded, then immediately loaded to check if more downloads are needed, and then used for test. There is no clean way to separate all those steps to add byteswapping between them, so just skip this test. Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * Fix q8_0 test in test-quantize-fns vec_signed uses unexpected rounding mode. Explicitly use different rounding function. Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * devops: add big-endian stories260K Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * devops: add s390x test-eval-callback Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * devops: fix test does not exist Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * devops: fix model not found llama-eval-callback Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * Fix q3_K dot product error in test-quantize-fns on s390x Array q8bytes had only 4 elements allocated, but 8 elements accessed. This lead to write out of bounds and later read of overwritten values out of bounds and incorrect result. Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * devops: re-enable ppc64le for testing Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * devops: activate test-thread-safety for s390x Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * devops: disable ppc64le tests for some reason it keeps failing test-thread-safety tests and I do not have a machine that is able to replicate the tests. Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * devops: LLAMA_FATAL_WARNINGS=ON Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * Correct repository URL for s390x for test-thread-safety model Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * Fix fs_get_cache_directory Ensure it works even if both XDG_CACHE_HOME and HOME are unset. This might happen in containers. Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * Re-enable CI for ppc64le Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * Fortify ggml_rope_impl Only memcpy data from sections argument if it's non-NULL. Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * Add TODO in struct unicode_cpt_flags to reimplement it in endian-independent way * Update URL for big-endian model * Update .github/workflows/build.yml Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com> * Update remaining mentions of BE models to ggml-org/models repo --------- Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> Co-authored-by: Aleksei Nikiforov <aleksei.nikiforov@linux.ibm.com> Co-authored-by: Aleksei Nikiforov <103434461+AlekseiNikiforovIBM@users.noreply.github.com> Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com> |
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Douglas Hanley
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b5bd037832 | llama : add support for qwen3 reranker (#15824) | ||
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Uilian Ries
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152729f884 |
common : add missing chrono header for common.cpp (#16211)
Signed-off-by: Uilian Ries <uilianries@gmail.com> |
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Johannes Gäßler
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e81b8e4b7f |
llama: use FA + max. GPU layers by default (#15434)
* llama: use max. GPU layers by default, auto -fa * ggml-backend: abort instead of segfault |
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Sigbjørn Skjæret
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84ab83cc0b |
model : jina-embeddings-v3 support (#13693)
* initial jina-embeddings-v3 support * initial jina-embeddings-v3 support * initial jina-embeddings-v3 support * fix vocab parsing with only tokenizer.json * set mask token lstrip attribute * additional unk_token_id fallback just in case [no ci] * revert vocab_size() change [no ci] * merge tensor loading into general bert * rope * add lora embedding and loading (non-functional) * export separate lora ggufs instead * add adapter metadata api * use std::string * convert_hf_to_lora compatibility * fix assert * apply suggestions from review * apply suggestion from review |
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Georgi Gerganov
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9ebebef62f |
llama : remove KV cache defragmentation logic (#15473)
ggml-ci |
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Jie Fu (傅杰)
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2f3dbffb17 |
common : fix incorrect print of non-ascii characters in the logging (#15466)
Signed-off-by: Jie Fu <jiefu@tencent.com> |
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Jonathan Graehl
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5cdb27e091 |
finetune: SGD optimizer, more CLI args (#13873)
* examples/finetune -opt SGD (stochastic gradient descent) memory opt
add unit tested GGML_OPT_OPTIMIZER_SGD to ggml - avoids allocating
m, v tensors.
support finetune.cpp arg -opt SGD (or sgd). (default adamw as before)
llama 3.2-1b-F32 result: observed 11gb gpu ram (41 sec/epoch)
when using SGD instead of 19gb (55 sec/epoch) using adamw.
(wikipedia 100 lines finetune)
(
using the same GPU memory, adamw can only do before OOM 512
batch/context, reaching:
train: [███████▉] data=0000140/0000140 loss=0.02575±0.00099 acc=99.52±0.03% t=00:00:47 ETA=00:00:00
val: [███████▉] data=0000008/0000008 loss=4.76565±0.28810 acc=41.46±0.77% t=00:00:00 ETA=00:00:00
SGD is superior, though it converges slower, with max before OOM 1728
batch/context (esp see the better validation perf):
train: [███████▉] data=0000039/0000039 loss=0.00371±0.00010 acc=99.96±0.01% t=00:00:41 ETA=00:00:00
val: [███████▉] data=0000003/0000003 loss=5.11406±0.76034 acc=48.01±0.69% t=00:00:01 ETA=00:00:00
)
note: when finetuning long enough (or w/ enough -lr),
validation accuracy *eventually* drops ('catastrophic forgetting')
-lr-half (halflife) option useful for SGD to avoid oscillation or
super slow underdamped learning (makes setting -lr more forgiving).
terminal -lr for now is set by lr-halvings i.e. if you want at most
1/8 the inital -lr you set -lr-halvings 3.
note: objective loss not directly comparable between adamw, sgd? -
check perplexity or accuracy or consider relative improvements
for convergence
new finetune args -wd 1e-9 to enable weight decay in sgd or adamw,
and max -epochs N (default 2 as before)
cache (1 - wd*alpha) in 'adamw' opt struct -
no noticeable perf benefit, disabled (still done
for new SGD though)
since opt. memory is pre-allocated, the ggml_opt_get_optimizer_params
would probably be able to change between SGD and AdamW with each epoch
but would need to use adamw for the first (unconfirmed - no cmdline arg
to set such a policy yet)
test-opt checks adamw as before and now sgd (except for a few disabled
tests for sgd only; probably just needs logging values and adding
alternate reference values); tolerance on the 'regression'
test is broader for sgd (so we don't need many more epochs)
* Vulkan: Implement GGML_OP_OPT_STEP_SGD
* tests: Fix OPT_STEP_SGD test-backend-ops
* SGD op param store weight-decay and not 1-alpha*wd
* minor + cosmetic changes
* fix vulkan sgd
* try CI fix
---------
Co-authored-by: 0cc4m <picard12@live.de>
Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
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Diego Devesa
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d6818d06a6 | llama : allow other bufts when overriding to CPU, add --no-repack option (#14990) | ||
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compilade
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90083283ec |
imatrix : use GGUF to store importance matrices (#9400)
* imatrix : allow processing multiple chunks per batch * perplexity : simplify filling the batch * imatrix : fix segfault when using a single chunk per batch * imatrix : use GGUF to store imatrix data * imatrix : fix conversion problems * imatrix : use FMA and sort tensor names * py : add requirements for legacy imatrix convert script * perplexity : revert changes * py : include imatrix converter requirements in toplevel requirements * imatrix : avoid using designated initializers in C++ * imatrix : remove unused n_entries * imatrix : allow loading mis-ordered tensors Sums and counts tensors no longer need to be consecutive. * imatrix : more sanity checks when loading multiple imatrix files * imatrix : use ggml_format_name instead of std::string concatenation Co-authored-by: Xuan Son Nguyen <son@huggingface.co> * quantize : use unused imatrix chunk_size with LLAMA_TRACE * common : use GGUF for imatrix output by default * imatrix : two-way conversion between old format and GGUF * convert : remove imatrix to gguf python script * imatrix : use the function name in more error messages * imatrix : don't use FMA explicitly This should make comparisons between the formats easier because this matches the behavior of the previous version. * imatrix : avoid returning from void function save_imatrix * imatrix : support 3d tensors with MUL_MAT * quantize : fix dataset name loading from gguf imatrix * common : move string_remove_suffix from quantize and imatrix Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com> * imatrix : add warning when legacy format is written * imatrix : warn when writing partial data, to help guess dataset coverage Also make the legacy format store partial data by using neutral values for missing data. This matches what is done at read-time for the new format, and so should get the same quality in case the old format is still used. * imatrix : avoid loading model to convert or combine imatrix * imatrix : avoid using imatrix.dat in README --------- Co-authored-by: Xuan Son Nguyen <son@huggingface.co> Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com> |
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Georgi Gerganov
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225e7a1438 |
llama : add high-throughput mode (#14363)
* kv-cache : prepare K/V buffers for separation ggml-ci * batched-bench : fix oob write ggml-ci * llama : add "virtual sequences" ggml-ci * llama : use "stream" vs "virtual sequence" ggml-ci * graph : fix stream splitting when KV cache is not used ggml-ci * kv-cache : add multi-stream save/load support ggml-ci * llama : add "--attn-streams" flag ggml-ci * kv-cache : fix handling when find_slot fails ggml-ci * kv-cache : restore find_slot impl ggml-ci * kv-cache : add comments * kv-cache : add bounds checks for sequence id ggml-ci * cont : add n_seq_max to batch allocr ggml-ci * kv-cache : perform stream copies lazily after llama_synchronize ggml-ci * kv-cache : avoid throwing exceptions across the C boundary ggml-ci * CUDA: 4D FlashAttention support (#14628) * CUDA: 4D FlashAttention support * CUDA: fix WMMA FA kernel * llama : rename attn_streams -> kv_unified ggml-ci * common : rename kv_split -> kv_unified ggml-ci --------- Co-authored-by: Johannes Gäßler <johannesg@5d6.de> |
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Georgi Gerganov
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6ffd4e9c44 |
server : pre-calculate EOG logit biases (#14721)
ggml-ci |
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Ruikai Peng
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dd6e6d0b6a |
vocab : prevent tokenizer overflow (#14301)
* vocab : prevent stack overflow in tokenize * vocab : return error instead of aborting on oversized token count * vocab : INT32_MIN from llama_tokenize on overflow |
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fanyang
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456af35eb7 |
build : suppress gcc15 compile warnings (#14261)
* Change _contains_any() substrs to std::string_view and fix the find comparison logic. |
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Diego Devesa
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6adc3c3ebc |
llama : add thread safety test (#14035)
* llama : add thread safety test * llamafile : remove global state * llama : better LLAMA_SPLIT_MODE_NONE logic when main_gpu < 0 GPU devices are not used --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> |
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Georgi Gerganov
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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 |
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bandoti
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2e89f76b7a | common: fix issue with regex_escape routine on windows (#14133) | ||
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Georgi Gerganov
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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 |
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Max Krasnyansky
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053b1539c0 |
threading: support for GGML_SCHED_PRIO_LOW, update thread info on Windows to avoid throttling (#12995)
* threading: support for GGML_SCHED_PRIO_LOW, update thread info on Windows to avoid throttling We talked about adding LOW priority for GGML threads in the original threadpool PR. It might be useful for some cases to avoid contention. Latest Windows ARM64 releases started parking (offlining) the CPU cores more aggresively which results in suboptimal performance with n_threads > 4. To deal with that we now disable Power Throttling for our threads for the NORMAL and higher priorities. Co-authored-by: Diego Devesa <slarengh@gmail.com> * threading: disable SetThreadInfo() calls for older Windows versions * Update tools/llama-bench/llama-bench.cpp Co-authored-by: Diego Devesa <slarengh@gmail.com> --------- Co-authored-by: Diego Devesa <slarengh@gmail.com> |
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Đinh Trọng Huy
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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> |
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Percy Piper
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c508256db2 | rpc : Fix build on OpenBSD (#13541) |