Sync master with upstream release b6115 #198
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This commit addresses an issue with the convert_hf_to_gguf script which is currently failing with: ```console AttributeError: module 'torch' has no attribute 'uint64' ``` This occurred because safetensors expects torch.uint64 to be available in the public API, but PyTorch 2.2.x only provides limited support for unsigned types beyond uint8 it seems. The torch.uint64 dtype exists but is not exposed in the standard torch namespace (see pytorch/pytorch#58734). PyTorch 2.4.0 properly exposes torch.uint64 in the public API, resolving the compatibility issue with safetensors. This also required torchvision to updated to =0.19.0 for compatibility. Refs: https://huggingface.co/spaces/ggml-org/gguf-my-repo/discussions/186#68938de803e47d990aa087fb Refs: pytorch/pytorch#58734
* CUDA: GEMM for FP32/FP16/BF16 and ne11 <= 16
…-org#15094) Any available libraries are found and loaded dynamically at runtime.
* support internvl * support interns1 * resolve comments * put interns1 in tensor mapping * resolve comment * move tokenizer changes to sub class
* convert : support non-mxfp4 HF model * rm redundant check * disable debug check
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Updates dev branch with latest release (b6115) from ggml-org/llama.cpp