llama : correctly report GGUFv3 format #3818
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KerfuffleV2
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* master: (350 commits) speculative : ensure draft and target model vocab matches (ggerganov#3812) llama : correctly report GGUFv3 format (ggerganov#3818) simple : fix batch handling (ggerganov#3803) cuda : improve text-generation and batched decoding performance (ggerganov#3776) server : do not release slot on image input (ggerganov#3798) batched-bench : print params at start log : disable pid in log filenames server : add parameter -tb N, --threads-batch N (ggerganov#3584) (ggerganov#3768) server : do not block system prompt update (ggerganov#3767) sync : ggml (conv ops + cuda MSVC fixes) (ggerganov#3765) cmake : add missed dependencies (ggerganov#3763) cuda : add batched cuBLAS GEMM for faster attention (ggerganov#3749) Add more tokenizer tests (ggerganov#3742) metal : handle ggml_scale for n%4 != 0 (close ggerganov#3754) Revert "make : add optional CUDA_NATIVE_ARCH (ggerganov#2482)" issues : separate bug and enhancement template + no default title (ggerganov#3748) Update special token handling in conversion scripts for gpt2 derived tokenizers (ggerganov#3746) llama : remove token functions with `context` args in favor of `model` (ggerganov#3720) Fix baichuan convert script not detecing model (ggerganov#3739) make : add optional CUDA_NATIVE_ARCH (ggerganov#2482) ...
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Follow-up to #3552.
Before:
After:
Will GGUFv2 be deprecated like GGUFv1 was?
edit: I guess it doesn't matter since for little-endian it's just a version bump AFAIK.