Chameleon #246
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Chameleon #246
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* lora: load to devide buft * add patch tensor function * correct tensor patch * llama_lora_adapter_apply * correct ggml_backend_tensor_copy * add llm_build_mm * fix auto merge * update based on review comments * add convert script * no more transpose A * add f16 convert * add metadata check * add sanity check * fix ftype * add requirements * fix requirements * fix outfile * conversion: only allow selected models * fix types * cuda : do not use dmmv if the tensor does not have enough cols * llama : lora fixes * do not disable mmap with lora Co-authored-by: slaren <[email protected]> * llm_build_lora_mm_id * convert_lora : MoE LoRA conversion support * convert_lora : prefer safetensors, similarly to convert_hf * convert_hf : simplify modify_tensors for InternLM2 * convert_lora : lazy conversion * llama : load and use alpha from LoRA adapters * llama : use llm_build_lora_mm in most model graphs * auto scale * Revert "auto scale" This reverts commit 42415a4. * remove redundant params * Apply suggestions from code review Co-authored-by: slaren <[email protected]> * change kv metadata * move add_type to __init__ * convert_hf : move add_type to main() * convert_lora : use the GGUFWriter from Model instead of overwriting it --------- Co-authored-by: slaren <[email protected]> Co-authored-by: Francis Couture-Harpin <[email protected]>
* convert_hf : faster lazy safetensors This makes '--dry-run' much, much faster. * convert_hf : fix memory leak in lazy MoE conversion The '_lazy' queue was sometimes self-referential, which caused reference cycles of objects old enough to avoid garbage collection until potential memory exhaustion.
The --help option on export-lora isn't accepted as valid. The help still gets displayed by default, but the script exits with an error message and nonzero status.
…nov#8491) * Update clib.json to point to Cyan4973 original xxhash Convinced Cyan4973 to add clib.json directly to his repo, so can now point the clib package directly to him now. Previously pointed to my fork with the clib.json package metadata Cyan4973/xxHash#954 * gguf-hash: readme update to point to Cyan4973 xxHash repo [no ci]
* [CANN] Add Ascend NPU backend Ascend is a full-stack AI computing infrastructure for industry applications and services based on Huawei Ascend processors and software. CANN (Compute Architecture of Neural Networks), developped by Huawei, is a heterogeneous computing architecture for AI. Co-authored-by: wangshuai09 <[email protected]> * delete trailing whitespaces * Modify the code based on review comment * Rename LLAMA_CANN to GGML_CANN * Make ggml-common.h private * add ggml_cann prefix for acl funcs * Add logging for CANN backend * Delete Trailing whitespace --------- Co-authored-by: wangshuai09 <[email protected]>
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