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2024-06-14llama : more checks before assuming FIM tokens (#7644)Sigbjørn Skjæret
* More checks before assuming FIM tokens for Llama arch * extensive token check
2024-06-14convert : add Poro-34B-chat tokenizer support (#7713)Elaine
* support for Poro chat pre-tokenizer * add support for Poro pre-tokenizer * Update convert-hf-to-gguf-update.py Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * Change Poro-34B-chat to poro-chat * Change Poro-34B-chat to poro-chat * Update convert-hf-to-gguf-update.py * Update llama.cpp --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-06-13move BLAS to a separate backend (#6210)slaren
* move BLAS to a separate backend * rename GGML_USE_OPENBLAS to GGML_USE_BLAS * alloc : reuse same buffer when the same buffer type if used multiple times * set number of threads automatically for openblas and blis * sched : print assignments when GGML_SCHED_DEBUG env variable is set * sched : allow ops with weights on an incompatible buffer type This will cause the weight to be copied to a backend that supports the op, which is very costly. The weight should have been stored in a buffer of a backend that can run the op, but llama.cpp cannot do this automatically at the moment. --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-06-07check for nans in imatrix and quantize (#7807)slaren
* imatrix : detect nan/inf values * quantize : check imatrix for nan/inf values
2024-06-06Added support for . (any character) token in grammar engine. (#6467)Clint Herron
* Added support for . (any characer) token in grammar engine. * Add integration tests for any-character symbol.
2024-06-06llama : add jina v2 base code (#7596)Joan Fontanals
* feat: add changes to handle jina v2 base code * fix: do not complicate things * fix: fix the usage of the code model * fix: fix comments * fix: fix linting issues * fix: remove ollama patches * style : minor --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-06-05ggml : refactor rope norm/neox (#7634)Georgi Gerganov
* ggml : unify rope norm/neox (CPU) * ggml : fix compile warning * ggml : remove GLM rope mode ggml-ci * metal : better rope implementation ggml-ci * cuda : better rope implementation ggml-ci * naming : n_orig_ctx -> n_ctx_orig ggml-ci * dev : add reminders to update backends ggml-ci * vulkan : fix ggml_rope_ext() usage * cuda : fix array size + indents ggml-ci
2024-06-04common : refactor cli arg parsing (#7675)Georgi Gerganov
* common : gpt_params_parse do not print usage * common : rework usage print (wip) * common : valign * common : rework print_usage * infill : remove cfg support * common : reorder args * server : deduplicate parameters ggml-ci * common : add missing header ggml-ci * common : remote --random-prompt usages ggml-ci * examples : migrate to gpt_params ggml-ci * batched-bench : migrate to gpt_params * retrieval : migrate to gpt_params * common : change defaults for escape and n_ctx * common : remove chatml and instruct params ggml-ci * common : passkey use gpt_params
2024-06-04ggml : remove OpenCL (#7735)Georgi Gerganov
ggml-ci
2024-06-04llama : remove beam search (#7736)Georgi Gerganov
2024-06-04Per token attributes (#7685)jaime-m-p
* Add per token attributes enum * Using phi-3 for testing 'rstrip' * Using jina-v2 for testing 'lstrip' * Brute force test for 'lstrip' and 'rstrip' * Implement 'rstrip' and 'lstrip' * Update phi-3 GGUF file (obsolete since 917dc8c) * Replace llama_token_type with llama_token_attribs
2024-06-03llama : offload to RPC in addition to other backends (#7640)Radoslav Gerganov
* llama : offload to RPC in addition to other backends * - fix copy_tensor being called on the src buffer instead of the dst buffer - always initialize views in the view_src buffer - add RPC backend to Makefile build - add endpoint to all RPC object names * add rpc-server to Makefile * Update llama.cpp Co-authored-by: slaren <slarengh@gmail.com> --------- Co-authored-by: slaren <slarengh@gmail.com>
2024-06-03Vulkan Mixture of Experts (MoE) support (#7628)0cc4m
* Finish Vulkan mul_mat_id implementation * Add Vulkan sum_rows and div ops * Fix MUL_MAT_ID matrix matrix shader * Fix MUL_MAT_ID matrix vector shader dispatch size * Fix MUL_MAT_ID matrix vector shader and dispatch code * Update Vulkan CPU offload for MUL_MAT_ID * Fix crash when using split mode none and setting a main GPU
2024-06-03llama : MiniCPM support tied embeddings (#7664)zhangkaihuo
* support lm_head * remove the code block --------- Co-authored-by: zhangkaihuo <zhangkaihuo@modelbest.cn>
2024-06-03llama : avoid double token-to-piece cache (#7654)Georgi Gerganov
ggml-ci
2024-06-01CUDA: quantized KV support for FA vec (#7527)Johannes Gäßler
* CUDA: quantized KV support for FA vec * try CI fix * fix commented-out kernel variants * add q8_0 q4_0 tests * fix nwarps > batch size * split fattn compile via extern templates * fix flake8 * fix metal tests * fix cmake * make generate_cu_files.py executable * add autogenerated .cu files * fix AMD * error if type_v != FP16 and not flash_attn * remove obsolete code
2024-05-31llama : cache llama_token_to_piece (#7587)Georgi Gerganov
* llama : cache llama_token_to_piece ggml-ci * llama : use vectors and avoid has_cache ggml-ci * llama : throw on unknown tokenizer types ggml-ci * llama : print a log of the total cache size
2024-05-29ggml : fix YARN + add tests + add asserts (#7617)Georgi Gerganov
* tests : add rope tests ggml-ci * ggml : fixes (hopefully) ggml-ci * tests : add non-cont tests ggml-ci * cuda : add asserts for rope/norm + fix DS2 ggml-ci * ggml : assert contiguousness * tests : reduce RoPE tests ggml-ci
2024-05-28Tokenizer WPM fixes (#7500)jaime-m-p
* Update random test: add_bos_token. * Update random test: add WPM models for testing. * Build vocab.special_tokens_cache using vocab token types. * Fix and improve WPM preprocessing. - Fix unicode edge case combinations. - Split by whitspace in the same pass. * Discard all tokens when no matching found.
2024-05-28llama : support small Granite models (#7481)Giuseppe Scrivano
* Add optional MLP bias for Granite models Add optional MLP bias for ARCH_LLAMA to support Granite models. Partially addresses ggerganov/llama.cpp/issues/7116 Still needs some more changes to properly support Granite. * llama: honor add_space_prefix from the model configuration propagate the add_space_prefix configuration from the HF model configuration to the gguf file and honor it with the gpt2 tokenizer. Signed-off-by: Giuseppe Scrivano <gscrivan@redhat.com> * llama: add support for small granite models it works only for the small models 3b and 8b. The convert-hf-to-gguf.py script uses the vocabulary size of the granite models to detect granite and set the correct configuration. Signed-off-by: Giuseppe Scrivano <gscrivan@redhat.com> --------- Signed-off-by: Giuseppe Scrivano <gscrivan@redhat.com> Co-authored-by: Steffen Roecker <sroecker@redhat.com>
2024-05-28Add support for DeepseekV2ForCausalLM (#7519)fairydreaming
* common : increase max number of experts to 160 * common : add tensors ATTN_Q_A, ATTN_Q_A_NORM, ATTN_Q_B, ATTN_KV_A_MQA, ATTN_KV_A_NORM, ATTN_KV_B needed by DeepSeek-V2 MLA (multi-head latent attention) architecture * common : add model header parameters: leading_dense_block_count, expert_feed_forward_length, expert_shared_count, expert_weights_scale, attention.q_lora_rank, attention.kv_lora_rank, rope.scaling.yarn_log_multiplier * convert-hf : add model conversion support for DeepseekV2ForCausalLM * llama : add model types for DeepSeek-V2 and DeepSeek-V2-Lite models * llama : add two new llm_build_moe_ffn() arguments: scale_w (whether to scale weights of selected MoE experts) and w_scale (numerical value of the scaling factor) * llama : add inference support for LLM_ARCH_DEEPSEEK2 --------- Co-authored-by: Stanisław Szymczyk <sszymczy@gmail.com>
2024-05-28llama : handle unknown utf8 bytes (#7588)Georgi Gerganov
2024-05-26llama : add Smaug 70B support (#7402)Bartowski
2024-05-25main : don't print special tokens with --grammar (#6923)Justine Tunney
* main : don't print special tokens with --grammar The CLI interface was recently changed to print special control tokens like the </s> stop message one. This token shouldn't be printed if the grammar flag was passed, unless the grammar specifies it, because that breaks shell-scriptability. * main: use seperate stream for control characters * main: use dprintf and add --ctrl-token-no-out and --ctrl-token-fd-out * main: dprintf isn't part of the IEEE POSIX standard. Just use write(). * main: remove --ctrl-token-fd-out in favor for fcntl() based detection * common.cpp: accidentally removed --interactive-first * main: only merge stdout and control token if not in conversation or grammar mode * main: rejig control token descriptor handling * main: must check pipe status on very top of program * main: renamed --no-special from --ctrl-token-no-out and other refactoring * main: refactor ctrl_token_no_out --> no_special * llama: rename llama_token_is_control_token() to llama_token_is_control() * main: remove special token file descriptor feature (#5) --------- Co-authored-by: Brian <mofosyne@gmail.com>
2024-05-25ggml: aarch64: SVE kernels for q8_0_q8_0, q4_0_q8_0 vector dot (#7433)Masaya, Kato
* Add SVE support for q4_0_q8_0 q8_0_q8_0 * remove ifdef
2024-05-24Add support for ArcticForCausalLM (#7020)fairydreaming
* common : increase max number of experts to 128 * common : add tensor LLM_TENSOR_FFN_NORM_EXPS for normalization before MoE that runs in parallel to attention + ffn * gguf-py : add architecture-specific block mappings that override selected general block mappings * convert-hf : add model conversion support for ArcticForCausalLM * convert-hf : use added_tokens_decoder from tokenizer_config.json to redefine tokens from SentencePiece model (only for ArcticForCausalLM) * llama : add inference support for LLM_ARCH_ARCTIC --------- Co-authored-by: Stanisław Szymczyk <sszymczy@gmail.com>
2024-05-23Fix phi3 chat template confusion with zephyr (#7449)Tristan Druyen
* Fix phi3 template matching vs zephyr * Add regression test for new phi3 chat template * Implement review suggestions * Fix phi3 jinja test templates & match by <|end|> * Apply suggestion Co-authored-by: Xuan Son Nguyen <thichthat@gmail.com> * Add all phi3 template variants in tests * Remove unneeded message trimming Co-authored-by: Xuan Son Nguyen <thichthat@gmail.com> * Fix tests to not expect trimmed messages --------- Co-authored-by: Xuan Son Nguyen <thichthat@gmail.com>
2024-05-23llama : add getters for n_threads/n_threads_batch (#7464)Daniel Bevenius
* llama : add getters for n_threads/n_threads_batch This commit adds two new functions to the llama API. The functions can be used to get the number of threads used for generating a single token and the number of threads used for prompt and batch processing (multiple tokens). The motivation for this is that we want to be able to get the number of threads that the a context is using. The main use case is for a testing/verification that the number of threads is set correctly. Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com> * squash! llama : add getters for n_threads/n_threads_batch Rename the getters to llama_n_threads and llama_n_threads_batch. Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com> --------- Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>
2024-05-23ci : use Pythia models instead of OpenLlama (#7470)Georgi Gerganov
* ci : start using Pythia models over OpenLlama ggml-ci * ci : disable q2_k ppl tests * ci : use convert-hf-to-gguf.py * ci : update gg_get_model * ci : fix convert outfile name ggml-ci * llama : gptneox arch use F32 attn prec ggml-ci
2024-05-23Add missing inference support for GPTNeoXForCausalLM (Pythia and GPT-NeoX ↵fairydreaming
base models) (#7461) * convert-hf : add conversion of bloom-style qkv tensor to gpt-style qkv (code borrowed from BloomModel) * llama : add inference support for LLM_ARCH_GPTNEOX * llama : add model types for every Pythia variant and GPT-NeoX Co-authored-by: Stanisław Szymczyk <sszymczy@gmail.com>
2024-05-23llama : rename n_ctx -> cache.size, less confusing (#0)Georgi Gerganov
2024-05-23ggml : drop support for QK_K=64 (#7473)Georgi Gerganov
* ggml : drop support for QK_K=64 ggml-ci * opencl : restore QK_K=256 define
2024-05-22phi3 : duplicate rope factors in each layer (#7447)slaren
* phi3 : duplicate rope factors in each layer phi3 : set phi-3 model type as 14B model loader : simplify the process for duplicating model tensors llama-bench : remove default pg test * replace bool parameters in llama_model_loader with named flags
2024-05-22llama : add missing model type names (#7445)Justine Tunney
2024-05-21llama : add phi3 128K model support (#7225)liuwei-git
* add phi3 128k support in convert-hf-to-gguf * add phi3 128k support in cuda * address build warnings on llama.cpp * adjust index value in cuda long rope freq factors * add long rope support in ggml cpu backend * make freq factors only depend on ctx size * remove unused rope scaling type 'su' frin gguf converter * fix flint warnings on convert-hf-to-gguf.py * set to the short freq factor when context size is small than trained context size * add one line of comments * metal : support rope freq_factors * ggml : update ggml_rope_ext API to support freq. factors * backends : add dev messages to support rope freq. factors * minor : style * tests : update to use new rope API * backends : fix pragma semicolons * minor : cleanup * llama : move rope factors from KV header to tensors * llama : remove tmp assert * cuda : fix compile warning * convert : read/write n_head_kv * llama : fix uninitialized tensors --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-05-21Tokenizer SPM fixes for phi-3 and llama-spm (bugfix) (#7425)jaime-m-p
* Update brute force test: add_special * Update brute force test: default values for add_bos_token and add_eos_token * Enable rtrim when pre-inserting BOS Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * Revert "server : fix test regexes"
2024-05-20Tokenizer SPM fixes for phi-3 and llama-spm (#7375)jaime-m-p
* Update brute force test: special tokens * Fix added tokens - Try to read 'added_tokens.json'. - Try to read 'tokenizer_config.json'. - Try to read 'tokenizer.json'. * Fix special tokens rtrim Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * server : fix test regexes
2024-05-21llama : remove Persimmon (#7408)Georgi Gerganov
* llama : remove Persimmon * requirements : remove
2024-05-20ggml-opencl, llama: using reserve() if count already known (#7272)Herman Semenov
2024-05-20Add provisions for windows support for BF16 code including CMake provision ↵Srihari-mcw
for enabling AVX512_BF16 (#7258)
2024-05-20llama : remove MPI backend (#7395)slaren
2024-05-19Add StableLM2 pre-tokenizer (#7349)Anas Ahouzi
* Add StableLM pre-tokenizer * Fix space * Fix trailing whitespace
2024-05-19Capture CUDA logging output (#7298)fraxy-v
* logging: output capture in cuda module * fix compile error * fix: vsnprintf terminates with 0, string use not correct * post review * Update llama.cpp Co-authored-by: slaren <slarengh@gmail.com> * Update llama.cpp Co-authored-by: slaren <slarengh@gmail.com> --------- Co-authored-by: slaren <slarengh@gmail.com>
2024-05-18llama : add support for larger Granite Code Models (20B, 34B) (#7324)Steffen Röcker
Tie the weights for ARCH_STARCODER to support the larger Granite code models. Partially addresses ggerganov/issues/7116 There still remains to be a few things to fix. Currently requires `--override-kv tokenizer.ggml.add_bos_token=bool:false`
2024-05-18Unicode codepoint flags for custom regexs (#7245)jaime-m-p
* Replace CODEPOINT_TYPE_* with codepoint_flags * Update and bugfix brute force random test * Deterministic brute force random test * Unicode normalization NFD * Get rid of BOM
2024-05-17llama : use n_embd_head_v when reshaping kqv (#7327)fairydreaming
* llama : use n_embd_head_v instead of n_embd_head_k when reshaping kqv * llama : use n_embd_v_gqa and n_embd_head_v instead of n_embd_k_gqa and n_embd_head_k when making a view of cached value vectors. --------- Co-authored-by: Stanisław Szymczyk <sszymczy@gmail.com>
2024-05-17tokenization: add warning for double BOS (#7332)Johannes Gäßler
2024-05-17ggml-quants, llama : removed excess checks (#7274)Herman Semenov
2024-05-16grammar, json, llama: replace push on emplace if it possible (#7273)Herman Semenov
2024-05-14ggml : add RPC backend (#6829)Radoslav Gerganov
* ggml : add RPC backend The RPC backend proxies all operations to a remote server which runs a regular backend (CPU, CUDA, Metal, etc). * set TCP_NODELAY * add CI workflows * Address review comments * fix warning * implement llama_max_devices() for RPC * Address review comments * Address review comments * wrap sockfd into a struct * implement get_alignment and get_max_size * add get_device_memory * fix warning * win32 support * add README * readme : trim trailing whitespace * Address review comments * win32 fix * Address review comments * fix compile warnings on macos
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