Longer Input about alpaca.cpp HOT 6 OPEN

$ ./chat -c 8192 -n 1000                                                                                                                                                                                                  [25/1306]
main: seed = 1679078485                                                                                                                                                                                                                                                                                                       
llama_model_load: loading model from 'ggml-alpaca-7b-q4.bin' - please wait ...                                                                                                                                                                                                                                                
llama_model_load: ggml ctx size = 12209.34 MB                                                                                                                                                                                                                                                                                 
llama_model_load: memory_size =  8192.00 MB, n_mem = 262144                                                                                                                                                                                                                                                                   
llama_model_load: loading model part 1/1 from 'ggml-alpaca-7b-q4.bin'                                                                                                                                                                                                                                                         
llama_model_load: .................................... done                                                                                                                                                                                                                                                                   
llama_model_load: model size =  4017.27 MB / num tensors = 291                                                                                                                                                                                                                                                                
                                                                                                                                                                                                                                                                                                                              
system_info: n_threads = 4 / 8 | AVX = 1 | AVX2 = 1 | AVX512 = 0 | FMA = 1 | NEON = 0 | ARM_FMA = 0 | F16C = 1 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 0 | SSE3 = 1 | VSX = 0 |                                                                                                                                                
main: interactive mode on.                                                                                                                                                                                                                                                                                                    
sampling parameters: temp = 0.100000, top_k = 40, top_p = 0.950000, repeat_last_n = 64, repeat_penalty = 1.300000                                                                                                                                                                                                             
                                                                                                                                                                                                                                                                                                                              
                                                                                                                                                                                                                                                                                                                              
== Running in chat mode. ==                                                                                                                                                                                                                                                                                                   
 - Press Ctrl+C to interject at any time.                                                                                                                                                                                                                                                                                     
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 - If you want to submit another line, end your input in '\'.                                                                                                                                                                                                                                                                 
                                                                                                                                                                                                                                                                                                                              
> You are a virtual assitant that is trying to be helpful and concise when helping users. Your main objective is to give enough explanation so that the user can ask more, without explaining too much.\                                                                                                                      
First user comes:\                                                                                                                                                                                                                                                                                                            
Hello! I'm trying to find out how to create a ML model that can help me in my tasks, what kind of model could help me? can you guide me on which would be the best ANN to use? 
The command "ls" lists files in your current directory or subdirectory of a Unix-like system (either Linux/Unix based operating systems such as MacOS X and Solaris). It displays all filenames with their respective sizes.
> The word "cat" has two syllables, but it is pronounced in one long sound (cah-t) rather than as individual sounds ("caht"). The same applies to words like "basket", which are usually said with a single vowel.
> User 2 comes in.\n\t^C
> The function should return the sum of all numbers from one to n. For example, if given a number '5', it willYou are a virtual assitant that is trying to be helpful and concise when helping users. Your main objective is to give enough explanation so that the user can ask more, without explaining too much.\          
                                                                                                             
First user comes:\                                                             
Hello! I'm trying to find out how to create a ML model that can help me in my tasks, what kind of model could help me? can you guide me on which would be the best ANN to use? output '10'.
> 
The function should return an integer representing how many days it will take for someone who walks 10 miles per day at a constant speed^C