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* typos * Update examples/parallel/README.md Co-authored-by: Kerfuffle <[email protected]> --------- Co-authored-by: Kerfuffle <[email protected]>
* gguf-py: gguf_writer: Use BytesIO to build metadata * Use bytearray instead Bump gguf-py package version
…ml-org#4041) * Add ReLU and SQR CUDA ops to fix Persimmon offloading * Persimmon loader: More helpful error on CUDA/ROCM when offloading too many layers
* sync : ggml (backend v2) (wip) * sync : migrate examples and llama.cpp to dynamic graphs (wip) * sync : update tests + fix max op params to 64 ggml-ci * sync : ggml-cuda ggml-ci * llama : fix save/load state context size ggml-ci * sync : try to fix build on tvOS * sync : pass custom graph sizes in training examples * sync : update graph copies to new ggml API * sync : update sync-ggml.sh with new files * scripts : fix header in sync script * train : fix context size calculations * llama : increase inference graph size up to 4096 nodes * train : allocate grads for backward graphs * train : allocate grads for gb_tmp
* add safetensors to convert.py help message * Check for single-file safetensors model * Update convert.py "model" option help message * revert convert.py help message change
* Add support for stablelm-3b-4e1t * Supports GPU offloading of (n-1) layers
Co-authored-by: Jared Van Bortel <[email protected]> Co-authored-by: Georgi Gerganov <[email protected]>
Co-authored-by: Bernhard Gstrein <[email protected]>
…4040) * gguf-py: gguf-dump: Respect --no-tensor flag in JSON mode. * Respect add_bos_token GGUF metadata value * gguf-py: Try to fix SpecialVocab giving up too easily for the Nth time
* llama : fix data units ggml-ci * Revert "llama : fix data units" This reverts commit f5feac8. * llama : disambiguate data units ggml-ci
* Fix ggml-org#4017 * Update ggml-cuda.cu Co-authored-by: Jared Van Bortel <[email protected]> * Update ggml-cuda.cu Co-authored-by: Jared Van Bortel <[email protected]> --------- Co-authored-by: Jared Van Bortel <[email protected]>
* finetune : zero the loraB initial vectors Without this, the first iteration is starting out far from the base model, instead of exactly on it. Zeroing loraB is what the paper recommends. loralib also zeroes at least one of the init vector pairs (though it departs from the paper in using a different distribution for the other vector, in some cases). * tabs to spaces * Use ggml_set_zero instead of adding a new function
…org#4079) * Remove logically superfluous assertions and order by dimension * Use cblas_sgemm() to implement ggml_compute_forward_out_prod() * Remove ggml_compute_forward_out_prod_use_blas(), fix compiling errors on cmake/zig, remove trailing whitespace * Add openBLAS support for sgemm() in compute_forward_out_prod()
* llama : add functions to get the model's metadata * format -> std::to_string * better documentation
ggml-org#4074) - introduces help entry for the argument - cuts '--gpu-layers' form in order to simplify usage and documentation. Signed-off-by: Jiri Podivin <[email protected]> Co-authored-by: Jiri Podivin <[email protected]>
Signed-off-by: Jiri Podivin <[email protected]> Co-authored-by: Jiri Podivin <[email protected]>
* logging: improve escaping in yaml output * logging: include review feedback
Falcon HF compatibility
…amas to load (ggml-org#4089) Co-authored-by: Don Mahurin <@>
* build: support ppc64le build for make and CMake * build: keep __POWER9_VECTOR__ ifdef and extend with __powerpc64__ Co-authored-by: Georgi Gerganov <[email protected]> --------- Co-authored-by: Georgi Gerganov <[email protected]>
…gml-org#4124) * ggml-cuda.cu: Clean up warnings when compiling with clang * ggml-cuda.cu: Move static items into anonymous namespace * ggml-cuda.cu: Fix use of namespace start macro * Revert "ggml-cuda.cu: Fix use of namespace start macro" This reverts commit 26c1149. * Revert "ggml-cuda.cu: Move static items into anonymous namespace" This reverts commit e29757e.
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December 5, 2023 11:06
jmikedupont2
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Dec 18, 2023
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