llama.cpp : add documentation about rope_freq_base and scale values#3401
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llama.cpp : add documentation about rope_freq_base and scale values#3401
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I noticed that this is an issue in Downstream users should be careful to update the default values. |
ggerganov
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Maybe also add a hot topics entry given the impact and importance of this change
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…example * 'master' of github.com:ggerganov/llama.cpp: ggml-cuda : perform cublas mat mul of quantized types as f16 (ggml-org#3412) llama.cpp : add documentation about rope_freq_base and scale values (ggml-org#3401) train : fix KQ_pos allocation (ggml-org#3392) llama : quantize up to 31% faster on Linux and Windows with mmap (ggml-org#3206) readme : update hot topics + model links (ggml-org#3399) readme : add link to grammars app (ggml-org#3388) swift : fix build on xcode 15 (ggml-org#3387) build : enable more non-default compiler warnings (ggml-org#3200) ggml_tensor: update the structure comments. (ggml-org#3283) ggml : release the requested thread pool resource (ggml-org#3292) llama.cpp : split llama_context_params into model and context params (ggml-org#3301) ci : multithreaded builds (ggml-org#3311) train : finetune LORA (ggml-org#2632) gguf : basic type checking in gguf_get_* (ggml-org#3346) gguf : make token scores and types optional (ggml-org#3347) ci : disable freeBSD builds due to lack of VMs (ggml-org#3381) llama : custom attention mask + parallel decoding + no context swaps (ggml-org#3228) docs : mark code as Bash (ggml-org#3375) readme : add Mistral AI release 0.1 (ggml-org#3362) ggml-cuda : perform cublas fp16 matrix multiplication as fp16 (ggml-org#3370)
jhen0409
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…cent breaking change ref: ggml-org/llama.cpp#3401
yusiwen
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Oct 7, 2023
…gml-org#3401) * llama.cpp : add documentation about rope_freq_base and scale values * add notice to hot topics
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Previously, setting
rope_freq_baseto10000andrope_freq_scaleto1inllama_context_paramswould cause llama.cpp to use model's default value. Now, to use the model default values, these parameters must be set to zero.Setting
rope_freq_baseto10000will cause problems with models trained on a different value, such as CodeLlama-7B. Therefore, downstream users should be careful to update the default values of these parameters.When using
llama_context_default_params()to initializellama_context_paramswithout changing these parameters, no further action is required.llama_context_default_params()will correctly set the value of these parameters to zero.