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* ggml : fix conv_2d batch mode (ggml/737)
Co-authored-by: bssrdf <bssrdf@gmail.com>
* ggml : compute forward no longer pass src tensors (ggml/729)
* sync : ggml
ggml-ci
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Co-authored-by: bssrdf <merlintiger@hotmail.com>
Co-authored-by: bssrdf <bssrdf@gmail.com>
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This commit adds the `--skip-unknown` option to the convert.py script
and removes the saving of the updated checkpoints to avoid updating
possibly checked out files.
The motivation for this change is that this was done for 1.5
in Commit fc0c8d286a533363a9a663510b62af85ffad58b3 ("llava :
update surgery script to not remove tensors") and makes the examples
more consistent.
Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>
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There are couple things in this architecture:
1. Shared input and output embedding parameters.
2. Key length and value length are not derived from `n_embd`.
More information about the models can be found at
https://ai.google.dev/gemma. GGUFs can be downloaded from
https://huggingface.co/google.
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* [SYCL] conext add name
* name should start with SYCL*
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* iq4_nl: squash commits for easier rebase
* Basics (quantize, dequantize)
* CUDA dequantize and dot product
* Slightly faster CUDA dot product (120 t/s)
* Switch to 6-bit scales
* Scalar dot product
* AVX2 dot product
* ARM_NEON dot product
* Works on metal, but still slow
* Slightly better Metal dot product
* Another small Metal improvement
* Metal dot product is getting there
* Faster CUDA dot product
* Add 1/8 ffn_down layers as Q5_K when no imatrix has been provided
* Report the actual bpw
* Add _xs mix that is 4.05 bpw for non-MoE models
* Remove IQ4_XS for now, slightly adjust kvalues_iq4nl
* AVX2 dot product uses Q8_0 instead of Q8_K
* Add to test-backend-ops
* Minor fix
* Also use use Q5_K for attn_output in MoE models
* Fixes after merging latest master
* Switching to blocks of 32
* AVX2 for blocks of 32
* Scaler dot product for blocks of 32
* ARM_NEON dot product for blocks of 32
* Metal kernels for blocks of 32
* Slightly faster Metal kernels
* iq4_nl: Fix after merging with master
* iq4_nl: another fix after merging with master
* Use IQ4_NL instead of Q4_K when using k-quants is not possible
* Fix typo that makes several tests fail
* It was the ggml_vdotq thing missed inside the brackets
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Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
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* server: init working 1.6
* move clip_image to header
* remove commented code
* remove c++ style from header
* remove todo
* expose llava_image_embed_make_with_clip_img
* fix zig build
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This commit contains a suggestion for the README.md in the llava
example. The suggestion adds explicit instructions for how to convert
a llava-1.6 model and run it using llava-cli.
The motivation for this is that having explicit instructions similar to
the 1.5 instructions will make it easier for users to try this out.
Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>
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* server: use llama_chat_apply_template
* server: remove trailing space
* server: fix format_chat
* server: fix help message
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* server: fix formatted_chat
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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* Add maid to ui list
* Specify licence
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* add build support for embedded metal library
* Update Makefile
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Co-authored-by: Haoxiang Fei <feihaoxiang@idea.edu.cn>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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* Update ggml_sycl_op_mul_mat_vec_q
* Apply suggestions from code review
Co-authored-by: Abhilash Majumder <30946547+abhilash1910@users.noreply.github.com>
* revert suggestion on macro
* fix bug
* Add quant type GGML_TYPE_IQ1_S to unsupported
* fix format
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Co-authored-by: Abhilash Majumder <30946547+abhilash1910@users.noreply.github.com>
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Author: Philip Taron <philip.taron@gmail.com>
Date: Tue Feb 13 20:28:02 2024 +0000
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up ggml_vk_instance_init()
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Based on work by @rbourgeat in https://github.com/ggerganov/llama.cpp/pull/5322/files
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Refs:
- https://chat.openai.com/share/7020ce72-65fc-45ec-b7be-9d9d798a5f3f
- https://github.com/SaschaWillems/Vulkan/issues/954
- https://github.com/haasn/libplacebo/issues/128
- https://github.com/KhronosGroup/Vulkan-Samples/issues/476
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Closes #5304
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* cuda : ignore peer access already enabled errors
* fix hip
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* support minLength and maxLength in JSON schema grammar converter
* Update examples/json-schema-to-grammar.py
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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ggml-ci
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* ggml : embed Metal library source (ggml-metal.metal) into binary
enable by setting WHISPER_EMBED_METAL_LIBRARY
* rename the build option
* rename the preprocessor directive
* generate Metal library embedding assembly on-fly during build process
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* cmake : pass -Werror through -Xcompiler
ggml-ci
* make, cmake : enable CUDA errors on warnings
ggml-ci
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* rm unwanted sycl compile options
* fix bug
* fix bug
* format fix
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This is a follup of Commit fc0c8d286a533363a9a663510b62af85ffad58b3
("llava : update surgery script to not remove tensors") but this time
the change is to the BakLLaVA specific part of the surgery script.
I've been able to test this using SkunkworksAI/BakLLaVA-1 and it works
as expected using the instructions in README.md.
Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>
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* Fixed the baby-llama issue (see issue #4830)
* minor : fix whitespaces
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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* llama: add llama_chat_apply_template
* test-chat-template: remove dedundant vector
* chat_template: do not use std::string for buffer
* add clarification for llama_chat_apply_template
* llama_chat_apply_template: add zephyr template
* llama_chat_apply_template: correct docs
* llama_chat_apply_template: use term "chat" everywhere
* llama_chat_apply_template: change variable name to "tmpl"
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* cuda : fix nans in soft_max
* metal : fix nans in soft_max
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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Added 1.5-bit on README.md
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* #ifdef out some code NUMA blocks for Android due to lack of support
* added in some __ANDROID__ if def gates around numa code and forced GLIBC prior to 2.29 to use a syscall for getcpu instead of the wrapper
* Changed gates on numa platform specific stuff to __gnu_linux__ to skip any platforms without glibc
* harmonizing #if defined blocks for numa code to __gnu_linux__ since that's the only model that's being followed anyways
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Co-authored-by: root <root@nenya.lothlorien.ca>
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* build : pass all warning flags to nvcc via -Xcompiler
* make : fix apparent mis-merge from #3952
* make : fix incorrect GF_CC_VER for CUDA host compiler
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ggml-ci
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* Feature - surface min_keep as its own parameter
* Updated README with min_keep param
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* server: enrich health endpoint with available slots, return 503 if not slots are available
* server: document new status no slot available in the README.md
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