* ggml : move rope type enum to ggml.h
This commit moves the `llama_rope_type` enum from `llama.h` to
`ggml.h` and changes its name to `ggml_rope_type`.
The motivation for this change is to address the TODO in `llama.h` and
use the enum in ggml.
Note: This commit does not change the `mode` parameter to be of type
`enum ggml_rope_type`. The name `mode` and its usage suggest that it
might be more generic and possibly used as a bit field for multiple
flags. Further investigation/discussion may be needed to determine
if `mode` should be restricted to RoPE types.
* squash! ggml : move rope type enum to ggml.h
This commit removes GGML_ROPE_TYPE_NONE and GGML_ROPE_TYPE_GLM from
ggml.h, and back the llama_rope_type enum.
I've kept the assert for GGML_ROPE_TYPE_GLM as I'm not sure if it is
safe to remove it yet.
* squash! ggml : move rope type enum to ggml.h
This commit removes the enum ggml_rope_type from ggml.h and replaces it
with a define (GGML_ROPE_TYPE_NEOX). This define is used in the code to
check if the mode is set to GPT-NeoX. Also the enum llama_rope_type has
been updated to reflect this change.
* squash! ggml : move rope type enum to ggml.h
This commit contains a suggestion enable the GGML_ROPE_TYPE_NEOX
macro/define to be passed to the shader compiler.
* squash! ggml : move rope type enum to ggml.h
This commit fixes the editorconfig-checker warnings.
* squash! ggml : move rope type enum to ggml.h
Update comment for ggml_rope function.
* Revert "squash! ggml : move rope type enum to ggml.h"
This reverts commit 6261222bd0.
* squash! ggml : move rope type enum to ggml.h
Add GGML_ROPE_TYPE_NEOX to rope_common.comp.
* remove extra line
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Co-authored-by: slaren <slarengh@gmail.com>
But leave in place as a "demo" the more complex template set by Ikawrakow to customize the layers quants, with the added attn_q, attn_k, and attn_output tensors.
* readme: introduce gpustack
GPUStack is an open-source GPU cluster manager for running large
language models, which uses llama.cpp as the backend.
Signed-off-by: thxCode <thxcode0824@gmail.com>
* readme: introduce gguf-parser
GGUF Parser is a tool to review/check the GGUF file and estimate the
memory usage without downloading the whole model.
Signed-off-by: thxCode <thxcode0824@gmail.com>
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Signed-off-by: thxCode <thxcode0824@gmail.com>
* Optimize Vulkan backend for better CPU performance and less GPU synchronization overhead.
- Allocation overhead for the temporary std::vectors was easily detectable with a sampling profiler and simple to remove.
- ggml_vk_sync_buffer introduce a full pipeline sync which has a significant cost on the GPU side, sometimes larger than the actual kernel execution. Adding only barriers for shader read/writes and transfers seems to be sufficient looking at the code which either launches compute kernels or copies tensors.
* Fix small typo
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Co-authored-by: 0cc4m <picard12@live.de>
- Progressivity for token embeddings and attn_qkv
- FFN down for IQ1 and IQ2 quants
- FFN gate and up for IQ2_S and IQ2_M, for progressivity in the IQ2 range.
Attn_q in Q3_K for experts >= 8
Attn_k in Q5_K for experts >= 8
Attn_v in Q6_K for experts >= 8, in IQ3_XXS for IQ2_XXS and IQ2_XS
Attn_output in Q4_K for experts >= 8
* gguf-py : add T5ENCODER model architecture
* common : call llama_decode() during warmup only if the model has decoder
* convert-hf : add T5EncoderModel
* llama : add llama_model_has_decoder() API function
* llama : split build_t5() into build_t5_encoder() and build_t5_decoder()
* llama : add support for LLM_ARCH_T5ENCODER
* llama-embedding : add support for LLAMA_POOLING_TYPE_NONE
* llama-embedding : add support for encoder-only models
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Co-authored-by: Stanisław Szymczyk <sszymczy@gmail.com>
