gguf : basic type checking in gguf_get_* #3346
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If I understand correctly, in |
ggerganov
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Sep 28, 2023
joelkuiper
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Oct 2, 2023
…example * 'master' of github.com:ggerganov/llama.cpp: ggml-cuda : perform cublas mat mul of quantized types as f16 (ggerganov#3412) llama.cpp : add documentation about rope_freq_base and scale values (ggerganov#3401) train : fix KQ_pos allocation (ggerganov#3392) llama : quantize up to 31% faster on Linux and Windows with mmap (ggerganov#3206) readme : update hot topics + model links (ggerganov#3399) readme : add link to grammars app (ggerganov#3388) swift : fix build on xcode 15 (ggerganov#3387) build : enable more non-default compiler warnings (ggerganov#3200) ggml_tensor: update the structure comments. (ggerganov#3283) ggml : release the requested thread pool resource (ggerganov#3292) llama.cpp : split llama_context_params into model and context params (ggerganov#3301) ci : multithreaded builds (ggerganov#3311) train : finetune LORA (ggerganov#2632) gguf : basic type checking in gguf_get_* (ggerganov#3346) gguf : make token scores and types optional (ggerganov#3347) ci : disable freeBSD builds due to lack of VMs (ggerganov#3381) llama : custom attention mask + parallel decoding + no context swaps (ggerganov#3228) docs : mark code as Bash (ggerganov#3375) readme : add Mistral AI release 0.1 (ggerganov#3362) ggml-cuda : perform cublas fp16 matrix multiplication as fp16 (ggerganov#3370)
yusiwen
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Oct 7, 2023
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This change would have made the issue fixed in #3341 more straightforward to debug.