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* `main`/`server`: rename to `llama` / `llama-server` for consistency w/ homebrew
* server: update refs -> llama-server
gitignore llama-server
* server: simplify nix package
* main: update refs -> llama
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* main/server: fix targets
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* Update server-llm.sh
* main: target name -> llama-cli
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* rename dockerfile w/ llama-cli
* rename(make): llama-baby-llama
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* more llama-cli(.exe)
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* address gbnf-validator unused fread warning (switched to C++ / ifstream)
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Updating docs around `perplexity` binary rename.
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* update grammar/README.md w/ new llama-* names
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* Revert "update llama-rpc-server bin name + doc"
This reverts commit e474ef1df4
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* add hot topic notice to README.md
* Update README.md
* Update README.md
* rename gguf-split & quantize bins refs in **/tests.sh
---------
Co-authored-by: HanClinto <hanclinto@gmail.com>
45 lines
1.4 KiB
Markdown
45 lines
1.4 KiB
Markdown
# llama.cpp/example/batched
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The example demonstrates batched generation from a given prompt
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```bash
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./llama-batched -m ./models/llama-7b-v2/ggml-model-f16.gguf -p "Hello my name is" -np 4
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...
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main: n_len = 32, n_ctx = 2048, n_parallel = 4, n_kv_req = 113
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Hello my name is
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main: generating 4 sequences ...
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main: stream 0 finished
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main: stream 1 finished
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main: stream 2 finished
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main: stream 3 finished
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sequence 0:
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Hello my name is Shirley. I am a 25-year-old female who has been working for over 5 years as a b
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sequence 1:
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Hello my name is Renee and I'm a 32 year old female from the United States. I'm looking for a man between
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sequence 2:
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Hello my name is Diana. I am looking for a housekeeping job. I have experience with children and have my own transportation. I am
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sequence 3:
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Hello my name is Cody. I am a 3 year old neutered male. I am a very friendly cat. I am very playful and
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main: decoded 108 tokens in 3.57 s, speed: 30.26 t/s
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llama_print_timings: load time = 587.00 ms
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llama_print_timings: sample time = 2.56 ms / 112 runs ( 0.02 ms per token, 43664.72 tokens per second)
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llama_print_timings: prompt eval time = 4089.11 ms / 118 tokens ( 34.65 ms per token, 28.86 tokens per second)
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llama_print_timings: eval time = 0.00 ms / 1 runs ( 0.00 ms per token, inf tokens per second)
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llama_print_timings: total time = 4156.04 ms
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```
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