[pull] master from ggerganov:master #36
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* server: add mistral chat template * server: fix typo * server: rename template mistral to llama2 * server: format_llama2: remove BOS * server: validate "--chat-template" argument * server: clean up using_chatml variable Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com> --------- Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com>
* ggml: aarch64: implement smmla kernel for q8_0_q8_0 quantized gemm armv8.2-a and above supports MMLA instructions that have higher throughput than DOT. this commit adds mmla kernel for q8_0_q8_0 gemm. The feature is enabled if the platform supports "__ARM_FEATURE_MATMUL_INT8" On AWS Graviton3 processors this kernel resulted up to 1.5x improvement for prompt evaluation throughput compared to the default sdot kernel. * ggml: aarch64: implement smmla kernel for q4_0_q8_0 quantized gemm armv8.2-a and above supports MMLA instructions that have higher throughput than DOT. this commit adds mmla kernel for q4_0_q8_0 gemm. The feature is enabled if the platform supports "__ARM_FEATURE_MATMUL_INT8" On AWS Graviton3 processors this kernel resulted up to 1.5x improvement for prompt evaluation throughput compared to the default sdot kernel. * ggml: aarch64: implement smmla kernel for q4_1_q8_1 quantized gemm armv8.2-a and above supports MMLA instructions that have higher throughput than DOT. this commit adds mmla kernel for q4_1_q8_1 gemm. The feature is enabled if the platform supports "__ARM_FEATURE_MATMUL_INT8" On AWS Graviton3 processors this kernel resulted up to 1.5x improvement for prompt evaluation throughput compared to the default sdot kernel. * ggml: update unit tests for the new vec_dot interface * llama.cpp: add MATMUL_INT8 capability to system_info
* server: allow to specify tokens as strings in logit_bias * Apply suggestions from code review Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* common: use enums for sampler types * Apply suggestions from code review Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * minor : spaces --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* vulkan: refactor guess_matmul_pipeline for vendor Refactor ggml_vk_guess_matmul_pipeline to simplify adding per-vendor conditionals. Signed-off-by: Sergio Lopez <slp@redhat.com> * vulkan: only use M-sized matmul on Apple GPUs L-sized and S-sized matmuls are broken on Apple GPUs, force using M-size with this vendor. Signed-off-by: Sergio Lopez <slp@redhat.com> --------- Signed-off-by: Sergio Lopez <slp@redhat.com>
Flake lock file updates:
• Updated input 'nixpkgs':
'github:NixOS/nixpkgs/b8b232ae7b8b144397fdb12d20f592e5e7c1a64d' (2024-01-31)
→ 'github:NixOS/nixpkgs/f8e2ebd66d097614d51a56a755450d4ae1632df1' (2024-02-07)
* BERT model graph construction (build_bert) * WordPiece tokenizer (llm_tokenize_wpm) * Add flag for non-causal attention models * Allow for models that only output embeddings * Support conversion of BERT models to GGUF * Based on prior work by @xyzhang626 and @skeskinen --------- Co-authored-by: Jared Van Bortel <jared@nomic.ai> Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com> Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* CUDA: mul_mat_vec_q tiling, refactor mul mat logic Co-authored-by: slaren <slarengh@gmail.com> --------- Co-authored-by: slaren <slarengh@gmail.com>
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