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b97bc3966e
* Support Llama 3 conversion The tokenizer is BPE. * style * Accept suggestion Co-authored-by: Sourab Mangrulkar <13534540+pacman100@users.noreply.github.com> * llama : add llama_token_is_eog() ggml-ci * llama : auto-detect more EOT tokens when missing in KV data * convert : replacing EOS token is a hack * llama : fix codegemma EOT token + add TODOs * llama : fix model type string for 8B model --------- Co-authored-by: Sourab Mangrulkar <13534540+pacman100@users.noreply.github.com> Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> |
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batched.cpp | ||
CMakeLists.txt | ||
README.md |
llama.cpp/example/batched
The example demonstrates batched generation from a given prompt
./batched ./models/llama-7b-v2/ggml-model-f16.gguf "Hello my name is" 4
...
main: n_len = 32, n_ctx = 2048, n_parallel = 4, n_kv_req = 113
Hello my name is
main: generating 4 sequences ...
main: stream 0 finished
main: stream 1 finished
main: stream 2 finished
main: stream 3 finished
sequence 0:
Hello my name is Shirley. I am a 25-year-old female who has been working for over 5 years as a b
sequence 1:
Hello my name is Renee and I'm a 32 year old female from the United States. I'm looking for a man between
sequence 2:
Hello my name is Diana. I am looking for a housekeeping job. I have experience with children and have my own transportation. I am
sequence 3:
Hello my name is Cody. I am a 3 year old neutered male. I am a very friendly cat. I am very playful and
main: decoded 108 tokens in 3.57 s, speed: 30.26 t/s
llama_print_timings: load time = 587.00 ms
llama_print_timings: sample time = 2.56 ms / 112 runs ( 0.02 ms per token, 43664.72 tokens per second)
llama_print_timings: prompt eval time = 4089.11 ms / 118 tokens ( 34.65 ms per token, 28.86 tokens per second)
llama_print_timings: eval time = 0.00 ms / 1 runs ( 0.00 ms per token, inf tokens per second)
llama_print_timings: total time = 4156.04 ms